90 results for “Skills”

claude-skills is an MIT-licensed library of about 398 Claude Code skills, agents, personas and plugins across 20 domains, including engineering, marketing, compliance and C-level advisory. Each skill is a SKILL.md with stdlib-only Python CLI tools and reference docs. Install scripts and convert.sh adapt it to Codex, Gemini CLI, Cursor, Aider, Windsurf and other coding agents, and it includes a skill-security-auditor scanner.

github.comrepoAdded 25 Oct 2026🧠 AI

claude-skills is an open-source MIT library of about 398 Claude Code skills, agents and plugins that also installs into Codex, Gemini CLI, Cursor and 9 other coding agents. The security-relevant parts are skill-security-auditor, a stdlib-only Python scanner that checks skills for command injection, data exfiltration, prompt injection and dependency supply-chain risks before install, plus a security-guidance PreToolUse hook, a security suite and compliance skills (ISO 27001, SOC 2, GDPR).

github.comrepoAdded 25 Oct 2026🛡️ Security

ECC (affaan-m/ECC) is an open-source performance optimization system for AI coding agents. It packages 261+ skills, 64+ agents and 84+ commands that tune Claude Code, Codex, Cursor and other agent harnesses for speed, memory and security. Practitioners can use it as a ready-made skills and harness configuration set. The RepoDir page gives only this short description, with no install steps or benchmarks.

repodir.comrepoAdded 24 Oct 2026🧠 AI

claude-red is an MIT-licensed library of offensive security skills for the Claude Skills system, planned at about 130 skills across 23+ categories (web, Active Directory, cloud, exploit development, EDR evasion and others). Each skill is a SKILL.md file that loads on conversational triggers, so unused skills cost no context. It installs by git clone, sparse checkout per category, install.sh or pasting into a system prompt.

github.comrepoAdded 22 Oct 2026🧠 AI

claude-red is a library of offensive security skills for the Claude Skills system, each a SKILL.md file that loads on conversational triggers (for example, mentioning SQL injection loads offensive-sqli). Categories include web, Active Directory, cloud, mobile, exploit development, fuzzing, privilege escalation, post-exploitation and AI. It targets about 130 skills across 23+ categories, with an install script and sparse-checkout install per category. Built on Sahar Shlichov's offensive checklists, MIT licensed.

github.comrepoAdded 22 Oct 2026🛡️ Security

Omnara is an open-source, self-hostable managed agent platform, an alternative to Claude Managed Agents and OpenAI's Agents API. It runs agents on any model (OpenAI, Anthropic, OpenRouter, Bedrock, LiteLLM, Ollama) and any machine, with Postgres-backed durable state, stateless workers, per-tool permissions, MCP, skills, memory, subagents, schedules and Slack, Discord and GitHub triggers. It ships a REST API, TypeScript SDK, CLI and Docker Compose setup.

github.comrepoAdded 23 Oct 2026, published 21 Oct 2026🧠 AI

grcskills is a library of 60 plain SKILL.md files in the Agent Skills format, each describing how an experienced practitioner does one piece of governance, risk and compliance work. Examples are scope statements, risk registers, audit prep, vendor review and incident handling. Every skill names where the agent must stop and hand the decision to a person. Installs are pinned to reviewed release tags and checked by a validator.

github.comrepoAdded 20 Oct 2026🧠 AI

grcskills is an MIT-licensed library of 60 SKILL.md files (Agent Skills format) that let coding agents draft and prepare governance, risk and compliance work: scope statements, statements of applicability, risk registers, audit prep, vendor review, policies, privacy, incidents and continuity. Each skill names where the agent must stop so a person decides. Installs are pinned to release tag v2026.10.19.2, and a validator rejects network commands and credential paths.

github.comrepoAdded 20 Oct 2026🛡️ Security

Ponytail is a single skill prompt (skills/ponytail/SKILL.md, with a compact AGENTS.md) that makes coding agents write only the code a task needs, reusing existing components while keeping validation, error handling, security and accessibility. The author benchmarked it in Claude Code with Opus 5.5 over 39 tasks, 5 runs each, including a real FastAPI + React repo. They report -53% code, -41% time, -26% cost and -45% tokens, and 98% of risky logic shipping with a test versus 68% without. It adds /ponytail-review and /ponytail-audit commands, a Claude Code cost/token band with a local board, and installs through Claude Code and Codex plugin marketplaces or as a rules file for Cursor, Copilot, Gemini, OpenCode and others.

github.comrepoAdded 17 Oct 2026🧠 AI

zero-lab-ai/skills is a collection of 56 portable SKILL.md agent skills in 10 installable plugins from zero-lab.ai. They cover authorized defensive assessment, penetration testing, red teaming, detection engineering, purple teaming and engagement operations. Skills install via the Claude marketplace layout or `npx skills add`, and a make check release gate runs linting and tests.

github.comrepoAdded 23 Oct 2026, published 11 Oct 2026🛡️ Security

iran-mcp is an open-source catalog of 39 MCP servers (488 tools) that let AI agents query Iranian websites such as Digikala, Torob, Divar, Snappfood, Jabama, Paziresh24, TSETMC and qavanin.ir, with prices normalised to Toman. Most servers are unofficial, read-only Python packages run with uvx; three are official hosted servers. It ships Claude Code plugins, Agent Skills, bundles, proxy lists and a machine-readable servers.json.

github.comrepoAdded 24 Oct 2026, published 11 Oct 2026🧠 AI

bigarrow is an MIT-licensed, single-binary Swift macOS CLI that draws a click-through arrow and sign over all windows so an AI agent can show a human where to click, paste or act (permission prompts, 2FA, OAuth consent). It ships an Agent Skills package (installed via `bigarrow install-skill`) for Claude Code and Codex, with JSON output and exit codes, and can target by Accessibility label, coordinates, window or Peekaboo snapshot. The README documents the skill's token cost (182 tokens for the description, 1,398 for the instructions) and 104 automated tests.

github.comrepoPublished and added 9 Oct 2026🧠 AI

mattpocock/skills is a collection of small, composable "agent skills" for software engineering that install into Claude Code, Codex, GitHub Copilot, Gemini CLI, Cursor, OpenCode, Devin, Windsurf, Amp and Pi via plugin managers or the `npx skills` CLI. It packages practices like interview-driven requirement gathering (/grill-me, /grill-with-docs), domain-model/glossary building, test-driven development with red-green-refactor (/tdd), bug diagnosis loops, codebase architecture improvement, ticket triage and spec-to-implementation workflows (/to-spec, /to-tickets, /implement, /implement-spec), splitting skills into user-invoked orchestrators and model-invoked reusable disciplines. It's built by Matt Pocock as an alternative to heavier process-owning frameworks like GSD, BMAD and Spec-Kit, aiming to keep engineers in control while giving coding agents better feedback loops and shared vocabulary.

github.comrepoAdded 8 Oct 2026🧠 AI

replica-skill is an MIT-licensed set of eleven Claude skills that run an app-cloning pipeline: recon, architect, design, build, backend, test, diff, entrepreneur, brand, launch and deploy. Six standard-library Python tools handle image diffing, parity scoring, review ranking, contrast checks, rebrand sweeps and store-listing lint. It installs as a Claude Code plugin or by copying folders, and states clean-room and rebranding limits.

github.comrepoAdded 29 Oct 2026, published 3 Oct 2026🧠 AI

OpenShell is NVIDIA's open-source runtime for running fleets of autonomous AI agents inside isolated sandboxes. Declarative policies cover filesystem, syscall, process and network access. These are enforced at the kernel level, and credentials are injected only into requests bound for approved endpoints. Policy changes are checked with formal verification so risky new access waits for human review. It ships a CLI, a gateway control plane (Helm deployment on Kubernetes), SDKs, extensibility hooks (middleware, interceptors, compute drivers) and installable agent skills, and it can run agents such as OpenCode.

github.comrepoAdded 1 Oct 2026🧠 AI

universal-modder is a set of Agent Skills, a CLI (um) and a shared knowledge base (field notes in knowledge/) that let AI coding agents such as Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot and OpenCode find a PC game's engine, reverse-engineer its code, build a working mod, generate art/3D/sound assets via the fal MCP server (or a local ComfyUI server), test the mod in the running game, and write a field note for the next agent. It ships worked examples — a weapon/boss pack for Terraria via tModLoader, a new civilization for Age of Empires II DE, and a real-time Minecraft-inside-GTA-V passthrough mod — each documented with a field note of exact versions, routes and gotchas, and agents can open pull requests to grow the shared knowledge base.

github.comrepoAdded 6 Oct 2026, published 30 Sep 2026🧠 AI

OpenShell is NVIDIA's open-source runtime for running fleets of autonomous AI agents with restricted, policy-governed access to files, system calls, network, and credentials. It enforces policy at the kernel level inside isolated sandboxes (per-agent, with Docker/Podman/virtualization backends) and uses formal verification to flag risky policy changes — such as an agent gaining a new host or API access with credentials — before they take effect, so changes can wait for human review. It ships a CLI, a gateway control plane, Kubernetes/Helm deployment, and installable agent skills for writing and debugging sandbox policies.

github.comrepoAdded 29 Sep 2026🧠 AI

adeskills is a working knowledge base for "Adversarial Detection Engineering" (ADE), a taxonomy of four categories and 16 subcategories of detection-logic bugs (e.g. Reformatting in Actions, Omit Alternatives, Context Development, Logic Manipulation) that explain why a SIEM/EDR/XDR rule fails to catch what it intends to. It ships 38 worked technique files with vulnerable/hardened rule examples and detection-layer guidance, a cross-platform bug-pattern catalog, a pre-engagement scoping checklist, and a Redamon-packaged skill (ade_scoper), all grounded in analysis of real public rulesets from Sigma, Elastic Security, and Microsoft Sentinel. It's explicitly scoped for defensive detection engineering and purple-team rule hardening, with several files documenting real vendor-rule weaknesses.

github.comrepoAdded 2 Oct 2026, published 27 Sep 2026🛡️ Security

Awesome-list repository cataloguing 183 open-source 'skills' and toolkits that let Claude Code, Codex and other coding agents generate or edit video: rendering frameworks like HyperFrames and Remotion, motion graphics, explainer/promo video generators, short-form editors, digital avatars and music videos. Each entry is read and security-graded by a companion service (Agent Skills Hub / agentskillshub.top), with a machine-readable JSON feed and category breakdowns (frameworks, promos, explainers, editing, shorts, avatars, animation, motion graphics, scripts, music videos).

github.comrepoAdded 29 Sep 2026, published 27 Sep 2026🧠 AI

Claude Code Templates (aitmpl.com) is an open-source npx CLI and template catalog offering 100+ ready-to-use agents, slash commands, hooks, settings, skills and MCP server integrations for Anthropic's Claude Code, aggregating contributions from Anthropic's official skills repo, K-Dense-AI's scientific skills, and various community projects (superpowers, wshobson/agents, awesome-claude-code, etc.). Beyond the template catalog it ships real-time analytics for monitoring Claude Code sessions, a mobile chat viewer with Cloudflare Tunnel support, a health-check diagnostic, and a plugin/marketplace manager, making it a practical operational toolkit for customizing and running Claude Code.

github.comrepoAdded 2 Oct 2026, published 25 Sep 2026🧠 AI

A directory within the davila7/claude-code-templates repo containing a "security-threat-model" Skill for Claude Code: a SKILL.md instruction file plus supporting agents and reference files that package a reusable threat-modeling workflow for the coding agent. It's an example of the emerging pattern of distributing structured, invocable skills (instructions + sub-agents + reference docs) that extend Claude Code's capabilities, rather than a security research artifact itself.

github.comrepoAdded 2 Oct 2026, published 25 Sep 2026🧠 AI

A "security-threat-model" skill folder in the davila7/claude-code-templates repository, part of a library of reusable Claude Code skills/components. It packages a SKILL.md definition with supporting agent and reference files intended to let Claude Code agents carry out structured threat-modeling analysis as part of a development or security-review workflow.

github.comrepoAdded 2 Oct 2026, published 25 Sep 2026🛡️ Security

VulnHunter is a maintained fork of Capital One's open-source agentic security scanner, reworked to run on any agent harness (Claude Code, Codex, Grok/OpenCode) instead of being Claude-Code-specific. The fork's distinguishing work is engineering, not security findings: portable "skill" prompt files with an explicit environment contract, an installer that fails loudly instead of guessing paths, Docker-based sandboxed exploit validation, and a benchmark harness that ran six full scans of one production Go service across five model/harness stacks, finding that result counts swung from 3 to 42 findings depending on how rigorously exploits were validated. It ships three composable skills (/vulnhunt, /vulnhunter-fix, /vulnhunt-fix-verify), a headless batch-runner (harness/), and a deterministic manifest-writing CLI (vh).

github.comrepoAdded 6 Oct 2026, published 22 Sep 2026🧠 AI

claude-red is a GitHub library of structured SKILL.md files for the Claude Skills system, each priming Claude with expert-level offensive-security methodology for a specific attack surface (SQL injection, shellcode, EDR evasion, ADCS abuse, wireless, IoT, cloud, mobile, fuzzing, etc.). Skills load on-demand from conversational triggers so context isn't spent on unused domains, and can be installed wholesale, per-category via sparse-checkout, or pasted directly into a system prompt. It's aimed at authorized red-team engagements, bug bounty triage, CTF prep, and operator training, building on Sahar Shlichov's offensive checklist collections.

github.comrepoAdded 21 Sep 2026🛡️ Security

Outrider Recon is an open-source, Claude-native multi-agent OSINT and external attack-surface recon platform for authorized engagements, covering web/API, identity/SSO, cloud, secrets, and people/breach intelligence. It deliberately stops short of exploitation: active enumeration is approval-gated and intrusive validation is a human hand-off, with deterministic Python controls enforcing scope, evidence integrity, workflow state, and finding promotion around Claude skills and optional MCP-based enrichment. Output is ranked, evidence-backed finding cards (confidence/severity/handoff recommendations) meant to feed proxy-assisted testing or pen-testing rather than raw scanner dumps.

github.comrepoAdded 22 Sep 2026, published 19 Sep 2026🛡️ Security

hermes-jev-skills wires TypeSafe's small, fast decision model "Jev" into agent workflows (Hermes, Claude Code, Codex) to handle cheap sub-decisions — which model should answer a turn, which of many skills to load, which retrieved passages matter, which conversation turns survive a summary — instead of burning frontier-model tokens on them. It ships ten agent-agnostic SKILL.md files, a CLI (jev routing/mail/screen/search), a local dashboard, and a plugin built on public Hermes seams (pre_llm_call, transform_tool_result, llm_request middleware) with detailed data-redaction guarantees for what gets sent to the Jev API. It also includes a shadow mode for safely evaluating routing decisions before enabling them.

github.comrepoAdded 26 Sep 2026, published 18 Sep 2026🧠 AI

Qwen-Planner-Agent is Alibaba's Tongyi MAI Team framework pairing a trained Planner Model with a stateful Harness to execute mobile tasks end-to-end, coordinating tools, persistent memory, reusable Skills, and sub-agents. It introduces Competence-Adaptive Reward-and-Advantage Engineering (CARE), a hybrid supervised+RL training approach, and reports the 27B model reaching 77.05% Overall on MobilePA-Bench at an estimated $2.41 per 1,000 tasks in output-token cost. This repo hosts the technical report/blog and recorded interactive examples rather than model weights or code.

github.comrepoAdded 26 Sep 2026, published 18 Sep 2026🧠 AI

The OWASP Agentic Skills Top 10 (AST10) is a new security framework cataloging the 10 most critical risks in AI agent "skills" — the behavior layer that orchestrates multi-step tool use in OpenClaw, Claude Code, Cursor/Codex, and VS Code. It documents real 2026 incidents (the ClawHavoc registry-poisoning campaign with 1,184 malicious skills, Snyk's ToxicSkills audit of 3,984 skills finding 36.82% flawed, CVE-2025-59536/CVE-2026-21852 RCE in Claude Code project files, and CVE-2026-28363 ClawJacked WebSocket hijacking) and proposes a Universal Skill Format (YAML) with signing, permission allowlists, and identity-file protections to mitigate them, mapped to CSA's MAESTRO 7-layer threat model.

github.comrepoAdded 18 Sep 2026🛡️ Security

PiG reimplements Pi — a minimal, extensible terminal coding agent — as a single native Go binary with no Node.js dependency, while remaining behaviorally pinned to a specific Pi release (0.87.1) and running Pi's TypeScript extensions unchanged. It adds a multi-language extension host (Go, Rust, Python, Node), a "Piglet" mechanism for bundling extensions/skills/prompts into a named shareable agent, and a formal parity-tracking process (PORT_MAP.md, DIVERGENCES.md, coverage reports) that documents every intentional divergence from the upstream Pi reference implementation.

github.comrepoAdded 27 Sep 2026, published 17 Sep 2026🧠 AI

jev-guard is an MIT-licensed hook layer that adds an auto mode to Claude Code, Codex, Copilot CLI, Gemini CLI, Cursor, pi, OpenCode, Antigravity and ACP editors. It asks the Jev model three typed questions (risk, user_requested, from_untrusted) per tool call and decides deny, ask or allow in about 20 lines of code. It also scans tool results for prompt injection and checks skills and plugins.

github.comrepoAdded 27 Oct 2026, published 17 Sep 2026🧠 AI

SkillRanker (sr) is a standalone Rust CLI that ranks which skill an agent should load next, combining local context/roster signals with TypeSafe.ai's Jev model for evaluation and FrankenSearch's Quill BM25 engine for local candidate prefiltering when a skill library exceeds 254 entries. It integrates with Claude Code and Codex via hooks, offers dry-run/explain/replay/eval workflows for inspecting and reproducing ranking decisions, and is explicitly advisory only — it never executes skills or overrides agent instructions.

github.comrepoAdded 26 Sep 2026, published 17 Sep 2026🧠 AI

security-audit-skill is a Cloudflare open-source coding-agent skill that turns an AI coding agent into a structured vulnerability hunter, running six phases: reconnaissance into architecture.md/coverage-ledger.json, coverage-led hunting by isolated sub-agent "hunters," adversarial candidate validation, structured findings.json output validated against a report-schema.json, independent re-verification of claims, and target-neutral report generation (REPORT.md, FINDINGS-DETAIL.md, NEEDS-VALIDATION.md). It is installed via the Skills CLI (`npx skills add`), uses Node.js validators (validate-coverage-ledger.cjs, validate-findings.cjs), requires a sandboxed environment for safely executing target code/tests/fuzzers, and is the single-repo seed for Cloudflare's larger fleet-wide vulnerability discovery harness described in a companion blog post.

github.comrepoAdded 22 Sep 2026, published 15 Sep 2026🛡️ Security

WordPress-Security-Skills is a GitHub repo of modular 'Agent Skills' (per the open Agent Skills spec) that install into AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Gemini CLI to guide secure-by-default WordPress plugin/theme development and security code review. Each skill targets a documented failure mode in AI-generated WordPress code — missing nonce checks, broken authorization, missing output escaping, unprepared SQL queries — with when-to-use guidance, common AI mistakes (wrong vs right), code examples, and checklists tied to official WordPress API references. It is explicitly instructional Markdown/PHP reference material, not a scanner or automatic protection, meant for developers and reviewers auditing AI-written or third-party WordPress code.

github.comrepoAdded 22 Sep 2026, published 15 Sep 2026🛡️ Security

pashov/skills is a set of Claude Code "skills" built by Pashov Audit Group that turn an AI coding agent into a Solidity security auditor: an "x-ray" command for quick codebase reconnaissance, a "solidity auditor" mode that runs multiple different agent personas over a codebase (or specified files) looking for vulnerabilities, and a "fizz" command for additional automated checks. It packages smart-contract audit tradecraft into reusable AI agent skills rather than a standalone scanner, letting developers or auditors invoke deep, multi-pass Solidity review directly inside their coding assistant.

github.comrepoPublished and added 7 Sep 2026🛡️ Security

Trail of Bits maintains a Claude Code plugin marketplace of "skills" that extend AI coding agents (Claude Code, Codex, ChatGPT workspaces) with security analysis, testing, and secure development capabilities. It's installed via `/plugin marketplace add trailofbits/skills` and is also compatible with Codex's Claude marketplace support, with related sibling repos for curated skills, devcontainers, and config.

github.comrepoPublished and added 7 Sep 2026🛡️ Security

endpoint-ai-agent-abuse (EAA) is a curated, evidence-scoped taxonomy of techniques for abusing local, endpoint-resident AI agents — especially coding and developer agents — covering launchers/flags, provider routing, instructions, memory, hooks, plugins, skills, MCP, transcripts, telemetry, and inherited local-user authority. Each technique is tagged by maturity (feasible, demonstrated, observed) and backed by cited incidents, artifacts, or research, with companion files for surfaces, tactics, case mappings, and detection/hunting hypotheses plus a validator script and JSON schema for the catalog.

github.comrepoPublished and added 7 Sep 2026🛡️ Security

A curated GitHub corpus tracking real-world security incidents, CVEs, attack techniques, and defensive tools specific to autonomous AI agents — spanning prompt injection/goal hijacking, MCP client-side tool-metadata poisoning, the "Promptware Kill Chain" multi-stage attack model, MITRE ATLAS agentic techniques, and the OWASP Top 10 for Agentic Applications. It also documents the OpenClaw/ClawHub supply-chain incident (1,184 malicious skills confirmed by Antiy CERT) and links defensive projects like OWASP Agent Memory Guard for LangChain/LlamaIndex agent memory protection.

github.comrepoAdded 3 Sep 2026🛡️ Security

A curated GitHub awesome-list cataloging the emerging agentic-AI security ecosystem: dozens of Model Context Protocol servers that give LLM agents access to security tools (Nuclei, Shodan, VirusTotal, Burp Suite, Ghidra, BloodHound, x64dbg), autonomous penetration-testing and CTF-solving agent frameworks (CAI, pentagi, BreachSeek, Dark-Moon, D-CIPHER), scanners/guardrails that audit agent skills, MCP servers, and multi-agent chains for prompt injection and other risks (Aguara, Inkog, MCP Doctor, AI-Infra-Guard, ATR), agentic SOC/detection platforms (Vigil), threat-modeling frameworks for agentic systems (MAESTRO, ATFAA/SHIELD), research papers, benchmark datasets, and community/learning resources. It functions as a living index for anyone building or defending AI-agent-driven security tooling.

github.comrepoAdded 3 Sep 2026, published 31 Aug 2026🛡️ Security

Reef is an open-source infrastructure stack for continual self-improving agents, wiring together agent inference, scored feedback, training/updates, and versioned delivery into one loop. It supports two learning surfaces: fine-tuning model weights via RL training steps (using Slime and SGLang on top of models like Qwen2.5-1.5B-Instruct) or evolving an agent's harness — prompts, rules, and skills — through its built-in "Reefine" recipe, which lets a model propose and install harness changes from plain-language requests. It exposes an OpenAI/Anthropic-compatible inference endpoint plus a reporting endpoint for scoring interactions, and ships a recipe catalog (e.g. the SAO recipe referencing arXiv:2607.07508) for pluggable learning strategies.

github.comrepoAdded 2 Oct 2026, published 31 Aug 2026🧠 AI

dsh-trading is an open-source AI trading terminal built on "DeepSeek Harness" (DSH), a Cordis-based microkernel plugin ecosystem, covering crypto, US equities, China A-shares and Hong Kong stocks. Its notable design is a multi-agent team: a "master" lead agent grounds itself in a holdings ledger and user knowledge base, then decomposes work and delegates to persona-pinned subagents — a trader (trading plans/execution), an instrument-researcher (disclosures/fundamentals), and a risk-reviewer (exposure/stress scenarios) — each dispatching bundled domain "skills" and native tools for quotes, news, order books and backtesting. Every order defaults to dry-run simulation, live execution requires explicit opt-in plus interactive human approval, and headless sessions fail closed, illustrating a concrete human-approval-gated tool-use pattern for agentic systems.

github.comrepoAdded 2 Oct 2026, published 30 Aug 2026🧠 AI

An open-source Agent Skill ("defi-native") that teaches Claude Code, Cursor, Codex and other Agent-Skills-compatible agents capital-markets and DeFi domain knowledge, including yield decomposition, vault/curator anatomy, oracle classes, and stablecoin/RWA taxonomy. It is structured with progressive disclosure (SKILL.md routes to task-specific reference files only when needed), an api-routes.json router that forces live data pulls (vaults.fyi, DefiLlama, Morpho's GraphQL, rwa.xyz, Merkl, 130+ protocol docs) before any numeric claim, and a verified 90+ source manifest. The author describes an eval-gated release process (paired with/without-skill runs graded on structure) and adversarial review by independent models before publishing, making it a useful case study in skill engineering even for readers uninterested in DeFi itself.

github.comrepoAdded 2 Oct 2026, published 28 Aug 2026🧠 AI

Claude Kit is a Claude Code plugin from YesWeHack that helps bug bounty hunters draft and triage vulnerability reports without letting the AI invent unverified technical details. It adds an always-on SessionStart hook enforcing evidence-only claims (no theoretical impact, no OWASP boilerplate padding) plus three on-demand skills (/ywh:write, /ywh:triage, class-specific checks) that structure findings, flag unproven claims, and recompute defensible CVSS scores — e.g. downgrading an inflated 9.1 to ~5.9 Medium after verifying an IDOR's actual exploitability (AC:H, non-enumerable UUIDv4 ID).

github.comrepoPublished and added 27 Aug 2026🛡️ Security

Claude-AD is a Claude Code plugin that packages Active Directory pentest methodology as skills, agents, and slash commands, directing Claude to run standard tooling (netexec, Impacket, certipy, bloodyAD, BloodHound CE) in the correct setup-collection-exploitation-post order. It covers environment constraints that break tooling in hardened domains (AES-only Kerberos, LDAP channel binding, Protected Users, LAPS, gMSA), techniques like Kerberoasting, AS-REP roasting, ADCS ESC1-ESC17, ACL abuse, coercion/NTLM relay (PetitPotam, PrinterBug, DFSCoerce) and delegation abuse with their Windows Event IDs/MDI telemetry, and maps each technique to DORA/NIS2/ENS compliance controls. Exploitation agents require human confirmation before directory-modifying actions.

github.comrepoAdded 2 Oct 2026, published 24 Aug 2026🛡️ Security

A structured collection of 50+ notes taking a low-privileged Linux foothold to root, covering sudo/SUID misconfigurations, GTFOBins and LD_PRELOAD abuse, the Baron Samedit sudo bug, Linux capabilities, cron/systemd-timer abuse, kernel exploits (DirtyCow, DirtyPipe, OverlayFS, PwnKit), NFS no_root_squash, Docker/LXD namespace escapes, screen/tmux and D-Bus IPC abuse, and credential mining. Each note follows a concept-to-exploitation-to-detection-to-defense format and the repo includes a methodology checklist, hardening guide, two guided labs with a lab-setup script, and skills assessments, published for authorized lab/CTF use under CC BY 4.0.

github.comrepoAdded 2 Oct 2026, published 19 Aug 2026🛡️ Security

HyperGrok Trading Desk is an open-source "Agent Skills" pack (MIT licensed) that turns a Grok Bot, Claude Code or Cursor instance into a coordinated seven-agent trading desk for Hyperliquid perpetuals, using seventeen portable SKILL.md skills covering bootstrap/setup, exchange API access, and desk operating procedures. Each trade moves through a fixed pipeline — idea, evidence, risk sign-off, explicit human approval by ticket id, a single execution agent that sends the order, reconciliation, and a separate review agent — with read-only "opening bell" and "desk doctor" scripts for zero-key market snapshots and release/connectivity checks. The design choices worth noting for agent builders are the one-writer/many-readers pattern, sizing risk off the stressed (slipped) cost of a stop rather than its trigger price, and keeping the approval gate (Grok Bot's Require Approval rule) outside the chat the agent itself can write to.

github.comrepoAdded 5 Oct 2026, published 16 Aug 2026🧠 AI

A single CLAUDE.md file (also packaged as a Claude Code plugin and Cursor rule) that encodes four principles derived from Andrej Karpathy's public observations on LLM coding failure modes: surfacing assumptions and ambiguity instead of silently guessing, avoiding overengineered/bloated code, touching only what's necessary when editing, and using verifiable success criteria for goal-driven execution loops. It's distributed as a drop-in instructions file, a Claude Code marketplace plugin, and a committed Cursor project rule.

github.comrepoAdded 22 Sep 2026, published 15 Aug 2026🧠 AI

HarnessRouter is a self-hostable (Docker) infrastructure layer that wraps existing agent harnesses such as Codex and Claude Code behind one OpenAI Responses-compatible API, letting a product run tasks, stream progress, manage files/artifacts, and switch harnesses without writing harness-specific integration code. It implements the Unified Harness Protocol (UHP), a versioned, OpenAI Responses-compatible contract with a reference implementation, schemas, and conformance suite, plus features like per-session workspaces, custom harness configuration with tools/skills/MCP servers, and secret redaction via vault references or header-scoped env vars so long-lived tokens never leak through agent output.

github.comrepoAdded 2 Oct 2026, published 9 Aug 2026🧠 AI

Prime Agent is an open source coding and research agent built on a persistent Python REPL and subagent architecture. Its documentation explicitly warns that it executes model generated code with full user permissions and is not a security sandbox, advising users to only run trusted repositories, instructions, and skills.

github.comrepoPublished and added 9 Aug 2026🛡️ Security

anti-slop (antislop) is a rulebook packaged as agent skills that stops AI coding agents from shipping generic UI, filler copy, and formulaic 'AI-shaped' code, without prescribing colors, fonts, or layout. It defines 38 mandatory rules across three tiers (Hard Gate, Purpose-Gate, Quality Locks), a 'Liveliness Toolkit' of ENERGY/RHYTHM/MOTION dials plus a Design Read, and a PASS/FAIL Delivery Gate report run before work ships, split into six loadable skills. It installs via an npx installer, a plugin marketplace, or the skills.sh directory across a dozen agents including Claude Code, Codex, Cursor, OpenCode, Cline, Amp, Gemini CLI, GitHub Copilot, Antigravity, Hermes, Kimi Code, and Pi.

github.comrepoAdded 30 Sep 2026, published 7 Aug 2026🧠 AI

goal-flow (goalflow) is a production-oriented framework built on LangGraph that offers two complementary ways to build LLM apps: transpiling Dify Studio's drag-and-drop workflow DSL export into a version-controllable, runnable LangGraph Python file, and building ReAct/Deep/custom agent loops with a vendored agent_kit SDK. It includes a FastAPI HTTP layer, a node library (LLM, code, HTTP, if/else, classifier, iteration, loop, tool, agent, doc-extractor), a chunk-processor that turns raw LangGraph streams into semantic SSE events consumable by pluggable data adapters (Dify/OpenAI/custom), Redis/MySQL persistence, human-in-the-loop interrupts, a skills engine, and Langfuse tracing. It was extracted from an internal production system and reports sustaining 100 concurrent conversations on modest hardware (2 vCPU/4GB per replica).

github.comrepoAdded 30 Sep 2026, published 6 Aug 2026🧠 AI

shuohao-skills is a set of five chained Claude Code / Codex agent skills that turn a novel into short-drama production assets: novel-outline (adaptation outline), novel-characters (cast bible), novel-art (scene/prop art bible), novel-script (episode scripts with a duration gauge), and novel-storyboard (shot-by-shot storyboards with actual generated shot images and prompts), plus a standalone character-refs skill that generates character reference images (anchor via GPT, rest via Qwen). Each skill is a self-contained directory with a required SKILL.md and a dependency-free scripts/selftest.mjs, installable via a symlink script that auto-detects Claude Code vs codex, and there is a separate report.mjs assembler that merges the five bilingual HTML reports into one navigable page without touching each skill's own render code (handling CSS/JS scoping and image-path rewriting).

github.comrepoAdded 30 Sep 2026, published 6 Aug 2026🧠 AI

r0crawl_skills is a Chinese-language skill library for Codex-style AI coding agents, organized as a router plus 196 specialized modules covering web reverse engineering, Android unpacking, Frida instrumentation, native binary analysis, protocol reconstruction, malware triage, firmware analysis and CTF workflows. Rather than dumping advanced terminology at once, it starts novices with four framing questions (what to analyze, what action matters most, what materials exist, what outcome is wanted) and routes them to deeper workflows via lightweight Python scripts (init_case.py, module_router.py, hash_artifact.py) and ten sanitized example playbooks. It's installed by copying the directory into Codex's skills folder, making it a practical illustration of the "router + many domain modules" pattern for packaging large skill collections for coding agents.

github.comrepoAdded 30 Sep 2026, published 6 Aug 2026🧠 AI

r0crawl_skills is a beginner-friendly Chinese-language skill library of 196 specialized reverse-engineering modules for Codex-style AI coding agents, with a router that asks scoping questions and directs the agent to the right workflow (web RE, Android unpacking, Frida instrumentation, native binary analysis, protocol reconstruction, malware triage, firmware analysis, CTF). It ships lightweight scripts (case init, module router, artifact hashing) and ten sanitized example playbooks covering DEX dump verification, WebCrypto hooking, native loader tracing, PCAP reconstruction, and selective emulation, plus dedicated modules for CAPTCHA/WAF/anti-bot systems, mini-programs, hybrid apps (Flutter/React Native/Electron), and IDA/Ghidra/Rizin automation.

github.comrepoAdded 30 Sep 2026, published 6 Aug 2026🛡️ Security

Google's official repository of Agent Skills covering Google products and technologies, including Google Cloud. Skills are installed selectively via `npx skills add google/skills`, and the repo also bundles Google product plugins combining Skills with MCP servers for use in agent harnesses.

github.comrepoAdded 22 Sep 2026, published 3 Aug 2026🧠 AI

Collection of 28 skill files for coding agents to run OSINT investigations covering domains, emails, usernames, photos, and companies, using techniques like WHOIS, certificate transparency, reverse image search, and breach lookups.

github.comrepoAdded 30 Sep 2026, published 2 Aug 2026🛡️ Security

UseOSINT/Skills is a GitHub repo of 28 SKILL.md files that let Cursor, Claude, and other coding agents run open-source-intelligence investigations — 10 end-to-end workflows (e.g. find-anyone, x-ray-a-company, recon-a-domain-passively) built on 18 reusable technique skills (WHOIS, certificate transparency, reverse image search, breach lookups, chronolocation). Each skill ships with reference material (query cookbooks, indicator guides, registry catalogues) and an install script that symlinks the whole set into ~/.cursor/skills, illustrating a chained, workflow-plus-technique pattern for structuring and routing large agent skill libraries. The repo also documents scope/authorization gating and passive-by-default behavior as part of the skill design.

github.comrepoAdded 30 Sep 2026, published 2 Aug 2026🧠 AI

ops-engineering-skills is an open-source library of 296 Agent Skills covering DevOps, DevSecOps, cloud, Kubernetes, CI/CD, GitOps, security scanning, SRE, compliance, databases, messaging, service mesh, serverless, internal developer platforms, MLOps and AgentOps. Each skill is written once to the open SKILL.md standard with machine-checkable frontmatter and eight required sections (prerequisites, steps, pitfalls with fixes, worked example), and works natively across Claude Code, GitHub Copilot, OpenAI Codex, Cursor and Gemini CLI without a translation layer. It ships an automated validator, cross-reference integrity checks, a marketplace/plugin structure for Claude Code, and a generic install.sh/npx installer for any Agent-Skills-compliant agent.

github.comrepoAdded 22 Sep 2026, published 1 Aug 2026🧠 AI

A comprehensively curated landscape document tracking the offensive AI agent space: ranked open-source pentesting/red-team agent projects (e.g. strix, shannon, VulnBot), uncensored offensive LLMs (Qwythos, WhiteRabbitNeo/DeepHat, BaronLLM) versus security-specialized but aligned models (Foundation-Sec, CyberSecQwen), Claude Code Agent Skills and MCP servers wrapping tools like Metasploit and BloodHound, 116 cross-referenced academic papers on pentest/vuln-discovery agents, capability benchmarks (Cybench, NYU CTF Bench, CyberGym), and a fact-checked Top-20 list of commercial AI pentesting vendors. It also covers competitions like the DARPA AI Cyber Challenge and Tencent's Intelligent Penetration Hackathon, positioning itself as a cross-merge of several other awesome-lists in this niche.

github.comrepoPublished and added 1 Aug 2026🛡️ Security

Claude-OSINT is a library of 8 drop-in Claude Skills (SKILL.md files, ~10,000 lines) that turn Claude/Claude Code into a structured external-recon operator for authorized red-team and bug-bounty engagements. The core pair (osint-methodology, offensive-osint) covers a 6-stage recon pipeline, an 80-pattern secret scanner, 80+ dorks, and read-only credential validators, while six organization-grade skills add legal-entity-to-footprint mapping, SPF/email-spoofability analysis, FAIR-based dollar risk scoring, continuous exposure re-scan/diff monitoring, cloud/SaaS and dependency-confusion checks, and identity-provider tenant/user-enumeration with explicit hard scope boundaries (no password spraying, no active exploitation).

github.comrepoPublished and added 31 Jul 2026🛡️ Security

Multi-Agent CAD (MAC) is a LangGraph-orchestrated multi-agent system that turns natural-language design briefs into editable engineering geometry (STEP/STL/GLB), decomposing mechanisms into separately generated, mated, and QA-validated parts and exporting URDF for robotics/physics simulation. It extends an earlier single-part Text-to-CAD workflow (~1,000 GitHub stars) with visual verification, an independent Judge agent, and an experimental assembly pipeline, reporting on a 10-prompt/141-feature benchmark that it matches a reproduced "CAD Skills" baseline's pass rate (140/141) while using tens-of-times fewer tokens and lower cost under Qwen-based configurations.

github.comrepoAdded 30 Sep 2026, published 30 Jul 2026🧠 AI

Ripwire is an offline, single-binary CLI (with optional MCP server) that indexes a repository to give coding agents a ranked, deterministic call graph, task-oriented context bundles (--for, --pack-task), and edit-time checks (--edit-check, --quality-delta, --test-gate) that flag blast radius, contract breakage, and code-quality regressions. It installs skills for Claude Code, Codex, Cursor, Windsurf, Gemini, opencode and aider, and ships extensive self-published benchmarks (docs/EVALS.md, LocBench-style head-to-head comparisons against graph-database MCP servers like codebase-memory-mcp, repowise, graphify and aider) claiming large token and latency savings plus higher file@10 retrieval accuracy. The README includes a detailed field report on using it across a ~20-agent, ~1,500-file C++/Metal orchestration engagement.

github.comrepoAdded 2 Oct 2026, published 29 Jul 2026🧠 AI

Recon-Skills is a curated collection of SKILL.md playbooks for external web security assessments, organized into auth (SSO/OAuth/SAML/MFA), chains (multi-step attack-path analysis), infra, recon (subdomain/DNS/port/tech discovery, route/parameter/API mapping), and redteam (vulnerability-class and platform-specific validation) categories. Each skill documents prerequisites, procedure, pitfalls, and verification criteria, and the skills are designed to be followed manually or loaded as task context by an automation system for authorized penetration testing engagements. It includes a validator script (validate_skills.py) and style/contribution guides to maintain a consistent quality baseline across skills.

github.comrepoPublished and added 29 Jul 2026🛡️ Security

ClawSecCheck audits OpenClaw agent installs for prompt injection, malicious MCP servers, and supply-chain risk in skills and dependencies.

github.comrepoPublished and added 22 Jul 2026🛡️ Security

Better Harness is an MIT-licensed plugin/CLI from QoderAI that runs inside a coding agent (Claude Code, Codex, Qoder, Cursor, GitHub Copilot CLI, Qwen Code, Pi, Kimi Code and others) via a /better-harness command. It collects project and session evidence and scores five dimensions of the "Agent Work Loop" (feedforward guides like AGENTS.md, specs and Skills; feedback sensors like linters, tests and Hooks). It outputs HTML/Markdown/Canvas reports with prioritized findings, repair plans and acceptance checks, and keeps missing evidence explicit rather than inventing scores.

github.comrepoAdded 12 Oct 2026, published 21 Jul 2026🧠 AI

pentdem is an autonomous AI-powered pentesting CLI/pipeline that fans out 15+ vulnerability-class hunters (XSS, SQLi, SSRF, IDOR, SSTI, JWT, GraphQL, etc.) and 8 advanced attack skills (mass assignment, race conditions, cloud metadata, OAuth/OIDC, subdomain takeover, credential harvesting) in parallel, using an LLM to adapt strategy mid-scan. It wraps real tools (nmap, sqlmap, nuclei, ffuf, subfinder, httpx) in Docker isolation and adds a novel gate chain — quality gate, kill-chain builder, adversarial cross-model validation (a second model tries to disprove each finding), a capability execution ledger (proves each hunter actually ran instead of silently crashing), and a ship-discipline gate — before mapping surviving findings to MITRE ATT&CK/OWASP Top 10/CVSS and generating reports.

github.comrepoPublished and added 20 Jul 2026🛡️ Security

VulnHunter is Capital One's open-source agentic AI vulnerability scanner built as a set of Claude Code skills (/vulnhunt, /vulnhunter-fix, /vulnhunt-fix-verify) that runs on Claude Opus. Instead of pattern-matching like traditional SAST, it does attacker-first forward analysis from entry points, runs a "falsification engine" to discard unexploitable findings, and generates evidence-backed remediation patches; it also ships a headless agent runtime and a benchmarking harness tested against OWASP NodeGoat, Juice Shop, and WebGoat.

github.comrepoAdded 19 Jul 2026🛡️ Security

A curated, verified awesome-list of AI-powered tools for smart contract and blockchain security, covering autonomous auditor agents (Hound, Plamen, Aether, SolidityGuard), commercial AI audit platforms (Sherlock AI, Cantina Apex, Zellic V12, Nethermind AuditAgent), MCP-based auditing plugins (Trail of Bits Skills, Claudit, Slither MCP, Solodit MCP Server), real-time on-chain ML monitoring (Forta Network, AnChain.AI), and benchmark/training datasets (EVMbench, SCONE-bench, ScaBench, SmartBugs). Every entry requires a real AI/ML/LLM component plus a specific Web3 security focus, with open-source entries needing 25+ GitHub stars, positioning it as a practical index for the emerging AI-driven smart-contract-audit tooling ecosystem.

github.comrepoAdded 3 Sep 2026, published 18 Jul 2026🛡️ Security

VulnHunter is Capital One's open-source agentic AI security scanner, implemented as a set of Claude Code skills (/vulnhunt, /vulnhunter-fix, /vulnhunt-fix-verify) that require Claude Opus. Instead of traditional sink-first SAST pattern matching, it reasons forward from attacker-accessible entry points (APIs, uploads, network messages), runs a 'falsification engine' to discard unexploitable findings, and generates evidence-backed exploit paths and targeted code fixes; it also ships a headless agent for CI/CD-scale scanning and a benchmarking harness against corpora like Juice Shop, WebGoat and NodeGoat.

github.comrepoAdded 22 Sep 2026, published 18 Jul 2026🛡️ Security

Skills Janitor is a Claude Code/OpenAI Codex plugin that inventories installed skills, subagents, and MCP servers, then lets users swipe-delete unused or duplicate ones to reclaim context window space. Its janitor-security and janitor-discover commands scan skill contents for known prompt-injection shapes: instruction-override phrases, 'don't tell the user' directives, payloads hidden in HTML comments or zero-width unicode, smuggled base64, and scripts that pipe network output into a shell or read credential stores, citing research that found injection in roughly a third of tested community skills. It also cross-references MCP server configs against real session-transcript usage to flag connected-but-never-called servers whose tool schemas silently consume context on every request.

github.comrepoPublished and added 15 Jul 2026🛡️ Security

Mantis is Google's open-source suite of AI agent skills plus an ADK-based reference harness for autonomous security code review. It walks a codebase to build a semantic index and threat model, generates and executes vulnerability research hypotheses across agents, deduplicates and triages findings to combat LLM hallucination, attempts reproduction (static guesses up to spun-up mock servers), chains findings for impact, and patches issues in an adversarial verify-the-fix loop, calibrating severity against a rubric to avoid inflated "critical" spam. It explicitly warns it is demonstration-only, non-deterministic, and requires isolated sandboxing plus human expert verification before any findings are reported.

github.comrepoPublished and added 15 Jul 2026🛡️ Security

HOL Guard is an open-source local "antivirus" runtime protection layer for AI coding agents that intercepts shell commands, file access, package installs, and MCP tool calls before execution, classifying them for secret exposure, destructive operations, prompt injection, and supply-chain risk, then allowing/blocking/requesting approval per policy. It integrates via native hooks and managed MCP proxies with Codex, Claude Code, GitHub Copilot CLI, Cursor, Cline, Gemini CLI, Grok, and other agents, and includes a supply-chain package/advisory checker (hol-guard supply-chain scan/explain). The repo also bundles plugin-scanner, a companion CLI/GitHub Action that lints and scores agent plugins, skills, and MCP integrations for manifest issues, secrets, MCP transport risks, and dependency/lockfile problems, producing SARIF/JSON reports for CI gating.

github.comrepoPublished and added 15 Jul 2026🛡️ Security

Grok Build is xAI's terminal-based AI coding agent, shipped as a Rust CLI/TUI (binary name `grok`) that understands a codebase, edits files, runs shell commands, searches the web and manages long-running tasks. It supports interactive use, headless scripting/CI mode, and embedding in editors via the Agent Client Protocol (ACP), and its docs cover MCP servers, skills, plugins, hooks and sandboxing; the repo is synced periodically from xAI's internal monorepo and vendors tool implementations ported from openai/codex and sst/opencode.

github.comrepoAdded 30 Sep 2026, published 14 Jul 2026🧠 AI

A sprawling open-source collection of 100+ reusable "Agent Skills" (markdown instruction packs with YAML frontmatter following the open Agent Skills format) for agentic systems, compatible with Claude Code and any framework that supports the standard. Skills span multi-agent orchestration frameworks (AutoGen, CrewAI, LangChain, LangGraph, LlamaIndex, DSPy, Haystack, a PydanticAI-based multi-agent debate tool), production agent operations, evals, and AI governance, alongside dozens of narrower domain skills — CLI integrations for Jira, Confluence, Notion, Linear, HubSpot, Ghost, Fireflies, Grafana, PostgreSQL, Kubernetes, Docker Compose, FFmpeg, Ghidra-based binary triage, FPGA/ESP32 hardware design, and more. The page text was truncated at 40,000 of 71,286 characters, so later entries in the catalog are not reflected here.

github.comrepoAdded 1 Oct 2026, published 11 Jul 2026🧠 AI

An extensive, actively updated awesome-list aggregating public-source, research, and commercial tools for AI security and AI-assisted cybersecurity. It spans LLM-driven finding triage (nuclei-autotriage, SigmaOptimizer), securing AI coding agents and MCP/skill ecosystems (agent-audit, SkillSpector, Ramparts, ToolHive, Pipelock), AI/ML supply-chain and model-artifact scanning (modelscan, Fickling, GuardDog, Adversarial Robustness Toolbox), and autonomous pentest/exploit agents (PentestGPT, PentAGI, Strix, CAI). Each entry includes stars, license notes, and cross-references, making it a practical index for the fast-moving 2026 agentic-AI-security tooling landscape.

github.comrepoPublished and added 11 Jul 2026🛡️ Security

api-relay-audit is a zero-dependency, locally-run Python security audit tool for AI API relays and LLM proxies that sit between a user and providers like Anthropic or OpenAI. It runs a 14-step check covering hidden prompt injection/extraction, context truncation, model-identity substitution, tool-call/package-command tampering, and SSE stream integrity, producing a reviewable Markdown report with LOW/MEDIUM/HIGH findings (inconclusive results stay visible rather than being marked clean). It also adds a web3 profile for wallet-safety probes (transfer guidance, signed-transaction refusal, private-key refusal) and is distributed as a standalone script, a DeepSeek Harness (DSH) plugin, and OpenClaw/Hermes agent skills.

github.comrepoPublished and added 4 Jul 2026🛡️ Security

AI-Infra-Guard (A.I.G) is Tencent Zhuque Lab's open-source AI red-teaming platform that fingerprints running AI services (e.g. vLLM, LangFlow, MLflow, llama.cpp) against a library of 2000+ CVE rules, scans MCP servers and Agent Skills for vulnerabilities using the SkillTrustBench T01–T09 taxonomy, and runs multi-turn jailbreak evaluations (Many-Shot, PAIR, GOAT, ActorAttack). It also ships an LLM API poisoning/model-substitution detector, a plugin framework for community-contributed fingerprint/vuln/MCP rules, and accompanying research (FORGE-Bench, RogueHandoff-20, SkillJack) on agent loss-of-control and skill backdoors.

github.comrepoAdded 2 Jul 2026🛡️ Security

SkillsGuard is a zero-dependency static security scanner for AI agent skill packages (SKILL.md files and bundled scripts) that detects prompt injection, exfiltration, obfuscated payloads, persistence, and privilege escalation before an agent reads or executes them. It recursively decodes base64/hex/URL-encoded blobs to catch hidden attacks like a base64-wrapped reverse shell, computes a 0-100 risk score, and integrates into CI (SARIF/JSON output), git pre-commit hooks, and Claude via an MCP server (scan_skill tool) or a free hosted Cloudflare Workers API. The README also situates it against competing agent-skill scanners (NVIDIA, Cisco, Snyk, Mondoo, SkillSpector, SkillScan), noting it's the only one requiring no account/API/LLM dependency versus SkillSpector's LLM-augmented semantic analysis backed by a study of 42,447 scanned skills.

github.comrepoPublished and added 21 Jun 2026🛡️ Security

SkillSpector is NVIDIA's open-source scanner for AI agent skills (used by Claude Code, Codex CLI, Gemini CLI, etc.), detecting 71 vulnerability patterns across 17 categories including prompt injection, data exfiltration, privilege escalation, MCP tool poisoning, and supply-chain issues via static analysis, AST checks, YARA rules, and optional LLM semantic evaluation. It cites research showing 26.1% of a 31,132-skill sample contain vulnerabilities and 5.2% show likely malicious intent, and can run as a CLI, MCP server, or install gate producing JSON/SARIF risk scores and DO_NOT_INSTALL/CAUTION/SAFE recommendations.

github.comrepoPublished and added 14 Jun 2026🛡️ Security

A reference implementation from Anthropic showing how to build a Claude-powered vulnerability discovery and remediation pipeline: interactive skills (/threat-model, /vuln-scan, /triage, /patch, /customize) for static scoping, scanning, triage and patch generation, plus an autonomous seven-stage recon-find-verify-dedupe-report-patch harness that builds targets with Docker/ASAN and runs each agent in a gVisor sandbox with restricted egress. It also ships a detection-and-response track (/dnr-hunt, /dnr-respond) for hunting an attacker already present in logs, scoping blast radius, and proposing a response, demoed against a planted attack campaign in synthetic logs.

github.comrepoAdded 3 Sep 2026, published 5 Jun 2026🛡️ Security

bb-huge is an open-source MCP server + agent skill ("/bb-huge") plus a Flask/SQLite portal that gives AI coding agents (Claude Code, Gemini CLI, Codex, etc.) persistent memory and a disciplined bug-bounty hunting methodology across web, mobile, binary, and source-code targets. It implements an observation → hypothesis → finding promotion pipeline with evidence provenance, ships 350+ curated community security skills, 35+ MCP tools for CRUD on findings/programs/recon/assets, and includes an install script for the ProjectDiscovery/tomnomnom recon toolkit (subfinder, httpx, nuclei, ffuf, etc.). It's aimed at bug bounty hunters wanting to solve the "context resets every session" problem when working with AI agents.

github.comrepoPublished and added 5 Jun 2026🛡️ Security

A community-maintained GitHub repo providing 818 structured, YAML-frontmatter skill files (e.g. Volatility3 memory forensics, Kerberoasting hunting, cloud breach scoping) that AI coding agents like Claude Code, GitHub Copilot, or Cursor can load to follow senior-analyst-level security workflows. Each skill is mapped against MITRE ATT&CK v19.1, MITRE ATLAS, MITRE D3FEND, NIST CSF 2.0, NIST AI RMF, and the newly released MITRE Fight Fraud Framework (F3), and follows the agentskills.io progressive-disclosure standard for token-efficient agent discovery. Covers offensive (red-team C2, phishing simulation, exploitation), defensive (DFIR, threat hunting, Sigma detections), cloud, and AI-security domains.

github.comrepoPublished and added 26 May 2026🛡️ Security

Superpowers is an open-source composable skills library and workflow methodology for coding agents, enforcing a pipeline of brainstorming/spec, plan-writing, subagent-driven or inline TDD implementation, and code review across git worktrees. It ships as a plugin installable into Claude Code, Codex, Cursor, Gemini, Copilot, Grok, and many other agent harnesses, with skills like test-driven-development, systematic-debugging, and writing-plans that auto-trigger during a coding session.

github.comrepoAdded 22 Sep 2026, published 25 May 2026🧠 AI

offensive-claude is a Claude Code plugin/framework that structures pentest engagements around the Cyber Kill Chain, providing 32 kill-chain skills, 8 collaborative agents, a SessionStart discipline dispatcher, and a 47-file vulnerability pattern reference library (injection, memory safety, auth, crypto, AD attacks, etc.). It also ships a staged crash-to-exploitability pipeline (rr record/replay root-causing, gcov reachability proof, ASAN/hardened feasibility profiling, Z3-based path-condition solving) invoked via /engage.crash, plus quality-gated phase templates requiring CWE/CVSS/ATT&CK-mapped evidence before findings are marked confirmed.

github.comrepoAdded 3 Sep 2026, published 22 May 2026🛡️ Security

Claude-BugHunter is a Claude Code "Agent Skills" plugin (83 skills, 15 slash commands) that turns Claude into a bug-bounty hunter or external red-team operator, auto-loading skills by topic. It codifies detection patterns and chain templates from 681 disclosed HackerOne reports across 24 core vulnerability classes, plus enterprise perimeter attack chains for M365/Entra ID, Okta, SharePoint (ToolShell), VMware vCenter, and SSL-VPN appliances, with Burp Suite MCP integration, a 7-Question validation gate, and engagement-folder scaffolding for reporting.

github.comrepoPublished and added 22 May 2026🛡️ Security

pentest-agents is an autonomous bug-bounty framework that wires Claude Code (and Codex, Gemini, Cursor, Windsurf, VS Code Copilot, OpenClaw) with 50 specialized agents, 26 slash commands, 19 CLI tools, 11 methodology skills, and two MCP servers — one for live bug-bounty platform integration (HackerOne, Bugcrowd, Intigriti, Immunefi, YesWeHack) and one for semantic writeup/payload search over a self-built FAISS index. It codifies a hunt workflow (recon → surface → hunt → validate via a 7-Question Gate → exploit-chain building → report → submit) with per-vuln-class hunter agents (XSS, SQLi, SSRF, SSTI, IDOR, XXE, RCE, CORS, subdomain takeover, etc.), a persistent "brain" for endpoint tracking, CVSS-version policy enforcement, and a scope-check hook that blocks out-of-scope Bash commands before execution.

github.comrepoPublished and added 18 May 2026🛡️ Security

AG Kit is an open-source Antigravity-first agent engineering toolkit that installs a `.agents/` workspace contract of rules, skills, specialist agents, workflows, persistent memory, and MCP configuration for Google's Antigravity coding-agent runtime. It ships a native PreToolUse safety hook that blocks destructive commands (root-filesystem deletion, drive formatting, raw-disk overwrites) without replacing Antigravity's own permissions or sandboxing, plus a CLI (`ag-kit init`/`update`/`rollback`) with merge-aware, backed-up updates and SemVer-versioned, drift-checked toolkit manifests.

github.comrepoAdded 22 Sep 2026, published 15 May 2026🧠 AI

hack-skills is a GitHub repo (yaklang/hack-skills) that packages offensive security knowledge into installable "Agent Skills" — one master entry, six category entries, and 102 deep-topic SKILL.md files across 14 domains including web/API security, auth, Linux/Windows/macOS privilege escalation, Active Directory attacks, mobile, binary exploitation, reverse engineering, crypto attacks, blockchain/smart contracts, AI/LLM security, network pivoting, and forensics. It's designed for AI coding agents (installed via `npx skills add yaklang/hack-skills` or a raw SKILL.md URL) to use during authorized pentesting, bug bounty, and CTF work, and explicitly strips destructive PoCs (DROP/TRUNCATE, FLUSHALL, service shutdown/DoS) in favor of non-destructive proofs like time-based SQLi and read-only recon, while retaining RCE/webshell/reverse-shell primitives as access proofs.

github.comrepoAdded 3 Sep 2026, published 13 May 2026🛡️ Security

Cowork Forge is an open-source Rust framework (cowork-core, cowork-cli, cowork-gui built on adk-rust and Tauri+React) that simulates a full software development team as cooperating LLM agents — Product Manager, Architect, Project Manager and Engineer roles — running a 7-stage pipeline (Idea→PRD→Design→Plan→Coding→Check→Delivery) with actor-critic self-review loops and human confirmation gates. It supports importing/reverse-engineering existing codebases into structured artifacts, a post-delivery "PM Agent" for iterative changes, a data-driven JSON config system for custom agent/flow/skill definitions (using the agentskills.io standard), and Agent Communication Protocol (ACP) integration with external coding agents like OpenCode, Codex, Gemini CLI and Claude CLI.

github.comrepoAdded 22 Sep 2026, published 13 May 2026🧠 AI

An "Awesome" GitHub list curating research papers, tools, and Claude/Codex "agent skills" focused on LLM-driven vulnerability detection, covering benchmarks (CVE-Bench, VulnGym, SecVulEval), autonomous pentesting/auditing projects (strix, Darkmoon, DeepAudit, AutoCVE, OpenAnt), and vendor-published security-audit skills (Anthropic's defending-code-reference-harness, Cloudflare's security-audit-skill, OpenAI's codex-security). It spans academic work on code-property-graph-guided detection, smart-contract auditing, reinforcement-learning-based reasoning for vuln analysis, and multi-agent false-positive triage.

github.comrepoPublished and added 13 May 2026🛡️ Security

khazix-skills is a GitHub repo of practical Agent Skills the author has been using daily in their own projects, following the open Agent Skills standard supported by Claude Code, Codex, Qoder, Kimi Code, iFlow, CodeBuddy, Cursor and 40+ other agents. Each skill is a structured instruction set (SKILL.md) an agent can load directly, with examples named like neat-freak, hv-analysis and khazix-writer; users can install by pointing their agent at a skill's GitHub subdirectory, or manually paste the SKILL.md content as project rules for agents without native skill support.

github.comrepoAdded 22 Sep 2026, published 8 May 2026🧠 AI