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mcpmarket.comtool🧠 AI

Search Search results for "security" | MCP Market

MCP Market search results for "security" in its skills category, listing about 20 installable AI agent skills. Entries cover OWASP Top 10 audits, secure PHP coding, STRIDE threat modeling, CVE remediation, security header analysis, misconfiguration finding, bug bounty triage and AgentShield scans of Claude Code configurations. One is a paid D365FO security-role XML skill. Each entry has only a one-line description and a category label.

Claude CodeAgentShieldPHP+1
MCP MarketOWASPSTRIDE

coding-agents, prompting· Added 25 Oct 2026

mcpmarket.comother🛡️ Security

Search Search results for "security" | MCP Market

MCP Market search results for "security" in the skills category, listing about 20 installable AI agent skills. Entries cover OWASP Top 10 audits, secure coding for PHP, STRIDE threat modeling, CVE remediation, security header analysis, misconfiguration finding, bug bounty triage and AgentShield scans of Claude Code configurations. One is a paid D365FO security-role XML skill. Each entry has only a one-line description and a category label.

Claude CodeModel Context ProtocolPHP
OWASPSTRIDEAgentShield+1

AppSec, AI Security· Added 25 Oct 2026

x.comthread🧠 AI

EveryDev.ai (@EveryDevAi) on X

ToolUniverse, from ScientistTools, is an open-source (Apache-2.0) toolkit that gives any LLM one interface to more than 1,000 scientific tools, models and databases such as PubMed, UniProt and ChEMBL. It ships a native MCP server, a Python SDK and a tu CLI, plus 68 pre-built agent skills. The post says it works with Claude Code, Cursor, Gemini CLI and Windsurf.

Model Context ProtocolPythonClaude Code+4
ToolUniverseScientistToolsPubMed+2

mcp, agents· Published and added 24 Oct 2026

simonwillison.netarticle🧠 AI

Donating Agent Skills to the Agentic AI Foundation

Simon Willison's link post covers Anthropic's 22 October 2026 announcement that it is donating the Agent Skills standard to the Agentic AI Foundation (AAIF) under the Linux Foundation. Anthropic co-founded the AAIF with Block and OpenAI and earlier donated MCP to it. Willison notes he predicted this in December 2025 and found his old post by querying his blog through datasette-mcp in Claude.

Model Context ProtocolClaudeDatasette
AnthropicAgentic AI FoundationLinux Foundation+3

prompting, ai-policy, coding-agents· Published and added 22 Oct 2026

anthropic.comarticle🧠 AI

Donating Agent Skills to the Agentic AI Foundation

Agent Skills is an open standard in which a skill is a folder with a SKILL.md file plus scripts and reference material. Anthropic is donating the name, logo, GitHub organization and agentskills.io domain to the Agentic AI Foundation under the Linux Foundation. Over 70 platforms have integrated it, with 1 million skills published and nearly 280 million installs. The proposed roadmap covers versioned releases, a proposal process and security guidance.

Agent SkillsSKILL.mdClaude Code+8
AnthropicAgentic AI FoundationLinux Foundation+5

prompting, coding-agents, agents· Added 29 Oct 2026, published 22 Oct 2026

socket.devarticle🧠 AI

vlt 1.5.0 Adds Agent Skills Management

vlt 1.5.0 adds a `vlt skills` command that finds agent skills (SKILL.md folders) in installed JavaScript dependencies and links them into directories coding agents read, such as .agents/skills and .claude/skills. Selections are saved as allow-skills in vlt.json, tied to the lockfile version, and kept current on install and update. Without a saved selection, linking defaults to :not(:malware) using Socket malware alerts. pnpm 12.11.0 added similar linking.

vltnpmJavaScript+7
SocketSarah Goodingagent-browser

coding-agents, prompting· Published and added 21 Oct 2026

socket.devarticle🛡️ Security

vlt 1.5.0 Adds Agent Skills Management

vlt 1.5.0 adds a `vlt skills` command that discovers agent skills (SKILL.md folders) shipped in installed JavaScript dependencies and links them into directories read by coding agents such as .agents/skills and .claude/skills. Links follow the lockfile version, and selections are saved as allow-skills in vlt.json. Without a saved selection, linking defaults to :not(:malware), using Socket malware alerts. pnpm 12.11.0 added similar support.

vltSocketnpm+3
Sarah GoodingSKILL.mdvlt skills+4

Supply Chain, AI Security· Published and added 21 Oct 2026

github.blogarticle🧠 AI

How 3 Java Champions are using GitHub Copilot for increased productivity

Interviews with three Java Champions (Vlad Mihalcea, Patrick Baumgartner, Frank Delporte) on using GitHub Copilot in production and open source. Examples include a 900-slide Reveal.js to Marp migration with visual verification, a Copilot coding agent diagnosing a Pi4J virtual-thread pinning bug, and custom Agent Skills. Tips: interview-first planning, task-specific verification gates, deterministic quality harnesses, and human review.

GitHub CopilotJavaIntelliJ IDEA+12
GitHubVlad MihalceaPatrick Baumgartner+7

coding-agents, prompting, ai-policy· Added 29 Oct 2026, published 20 Oct 2026

github.comrepo🧠 AI

better-isms/grcskills

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.

Claude CodeCodexCursor+4
Better ISMSISMS CopilotNIST

prompting, agents· Added 20 Oct 2026

github.comrepo🛡️ Security

better-isms/grcskills

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.

Claude CodeCodexCursor+2
SOC 2PCI DSSNIST+2

GRC· Added 20 Oct 2026

github.blogarticle🧠 AI

GitHub Copilot app for Beginners: How to teach Copilot about your codebase

Beginner-oriented GitHub blog guide to giving GitHub Copilot project context through four mechanisms: repository custom instructions (.github/copilot-instructions.md and path-specific .github/instructions files with applyTo), agent skills (SKILL.md folders under .github/skills), custom agents (.github/agents profiles), and MCP servers such as Playwright. It explains when to use each and how they combine, using examples like a quality-checks skill and an accessibility-review agent. Useful as a concrete reference for the repo layout Copilot reads, with a pointer to the community Awesome Copilot collection.

GitHub CopilotModel Context ProtocolPlaywright+1
Awesome Copilot

coding-agents, prompting, mcp· Published and added 12 Oct 2026

github.comrepo🛡️ Security

zero-lab-ai/skills

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.

Claude CodeCodexOpenAI
Zero Lab

AI Security, Offensive Security, Blue Team & Detection· Added 23 Oct 2026, published 11 Oct 2026

github.comrepo🧠 AI

sepehr071/iran-mcp

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.

Model Context ProtocolPythonPyPI+11
DigikalaTorobDivar+10

mcp, coding-agents· Added 24 Oct 2026, published 11 Oct 2026

x.comarticle🧠 AI

Cloudflare Changelog (@CFchangelog) on X

Cloudflare's changelog announces that its Cloudflare API MCP server now serves Cloudflare skills alongside its tools. A connected MCP client discovers them by calling `skills/list`. This is an example of distributing agent skills through an MCP server rather than as local files or a repo.

Model Context ProtocolCloudflare

mcp, prompting· Published and added 11 Oct 2026

x.comthread🧠 AI

Confident AI (@confident_ai) on X

Confident AI announces Eval Skills, open-source (Apache 2.0) agent skills for Claude Code and Codex. The `eval-build` skill takes an app to a runnable baseline: it finds realistic examples in traces and incidents, annotates failures, groups them into failure modes, curates cases with independent data splits, and builds graders validated against human judgment. The `eval-descent` skill runs a bounded loop of hypothesis, app change, eval re-run, regression check, then keep or revert, with held-out cases kept out of the loop. It ships Python and TypeScript tooling for tracing, annotation, grading and reports, plus a local UI or Confident AI for managing the loop.

Claude CodeCodexPython+1
Confident AIEval Skills

coding-agents, evals, prompting· Published and added 9 Oct 2026

github.comrepo🧠 AI

Show HN: Let your AI agents paint big arrows, boxes and text on your screen

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.

SwiftmacOSClaude Code+6
bigarrowNameplatePeter Steinberger+2

coding-agents, prompting, agents· Published and added 9 Oct 2026

github.comrepo🧠 AI

mattpocock/skills — agent skills for engineers

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.

Claude CodeCodexGitHub Copilot+5
Matt PocockDevinWindsurf+5

coding-agents, prompting· Added 8 Oct 2026

stepsecurity.ioarticle🛡️ Security

StepSecurity Now Inventories AI Agent Skills in Your GitHub Repositories and on Developer Machines

StepSecurity announces two new inventory features — Dev Machine Guard's Agent Skills page (scanning 18 AI coding agents' skill directories on developer machines) and a GitHub Agent Skills page (scanning default branches of org repos daily) — to track AI agent "skills" (SKILL.md folders with optional scripts/hooks) across an organization. The post frames skills as a supply-chain surface because they can execute shell commands, pre-approve tool permissions via allowed-tools frontmatter (bypassing Claude Code's workspace trust gate), and look like harmless Markdown documentation in PR review, citing the Miasma worm, s1ngularity, and the Cline v2.3.0 compromise as precedent for this attack class. It details inventory features like content-hash comparison across devices, provenance tracing via skills.sh/skills-lock.json, and filters for shell/hooks/code execution flags to prioritize review.

Claude CodeCursorGitHub Copilot+3
Miasma worms1ngularityCline v2.3.0 compromise

Supply Chain, AI Security· Published and added 8 Oct 2026

arxiv.orgpaper🧠 AI

Skill Constellations: Tracing the Supply Chain of Agent Skills on GitHub

The paper builds the first dated copy network of agent skills (SKILL.md files) from the git history of repositories in GitSkills, covering 2,193,119 skill adoptions on GitHub, and ships an interactive viewer. It finds that a few source repositories account for almost all copies, that GitHub stars do not identify them, and that copies almost never track their source, so fixes rarely propagate. A fitted model of which repositories get copied ranks repositories for audit: reviewing the top 100 would prevent 14.9% of later adoptions of high-risk skills, against 0.5% for the 100 most-starred. The authors recommend that platforms distribute versioned references instead of copies.

Claude CodeCodexGitHub+1
GitSkills

coding-agents, prompting, research· Added 9 Oct 2026, published 8 Oct 2026

arxiv.orgpaper🛡️ Security

Skill Constellations: Tracing the Supply Chain of Agent Skills on GitHub

Builds the first dated copy network of agent skills (SKILL.md files) from git history in the GitSkills dataset, covering 2,193,119 skill adoptions on GitHub, plus an interactive viewer. Finds a few repositories are the source of nearly all copies, stars do not identify them, and copies almost never track their source, so upstream fixes rarely propagate. A model of which repositories get copied ranks repos for audit: reviewing the top 100 prevents 14.9% of later adoptions of high-risk skills versus 0.5% for the 100 most starred. The authors recommend platforms distribute versioned references rather than copies.

Claude CodeCodexGitHub+1
GitSkillsSKILL.md

Supply Chain, AI Security· Added 9 Oct 2026, published 8 Oct 2026

arxiv.orgpaper🛡️ Security

Under the Hood of SKILL.md: Semantic Supply-chain Attacks on AI Agent Skill Registry

This arXiv paper studies SKILL.md files — the natural-language metadata describing modular AI Agent Skills — as an attack surface, demonstrating semantic supply-chain attacks against real ClawHub skills. Using text-only manipulations, the authors manipulate embedding-based Discovery retrieval (up to 86% pairwise win rate, 80% Top-10 placement), bias agent Selection toward adversarial variants (77.6% average success), and evade Governance blocking verdicts (36.5%-100% evasion), showing that skill metadata is operational text that shapes agent trust rather than passive documentation.

ClawHub

AI Security, Supply Chain· Added 5 Oct 2026

github.comrepo🧠 AI

OpenShell — safe, private runtime for autonomous AI agent fleets

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.

OpenShellDockerPodman+5
NVIDIA

agents, ai-infra· Added 1 Oct 2026

github.comrepo🧠 AI

rehan-remade/universal-modder

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.

Model Context ProtocolClaude CodeCodex+11
falElevenLabsTerraria+19

coding-agents, mcp· Added 6 Oct 2026, published 30 Sep 2026

github.comrepo🧠 AI

NVIDIA OpenShell — secure runtime for autonomous AI agent fleets

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.

DockerOpenCodeOpenRouter
NVIDIAOpenShell

ai-infra, agents· Added 29 Sep 2026

github.comrepo🧠 AI

zhuyansen/awesome-claude-video-skills

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).

Claude CodeCodexModel Context Protocol+10
Claude Opus 5.5

coding-agents, multimodal· Added 29 Sep 2026, published 27 Sep 2026

blog.trailofbits.comwriteup🧠 AI

1Password's AI patching benchmark is misleading

Trail of Bits dissects 1Password's August 2026 report claiming AI models produce "clean" security patches only 26% of the time, showing the figure is inflated by handpicked hard bugs, deliberately wrong-fix prompts (22% of trials), testing-prohibited trials (36%), inconsistent grading, and a buggy reference fix — and that when those confounds are removed, 86% of patches blocked the supplied exploit. The post contrasts this with Trail of Bits' own data: developers get 12.5% of first fixes wrong even under favorable conditions, and 67.7% of Patch the Planet AI-authored pull requests were merged by maintainers. It also releases two agent skills, post-patch-validation and review-walkthrough, to help agents test fixes and help engineers review AI-generated patches.

GitHub
1PasswordTrail of BitsPatch the Planet+4

evals, coding-agents· Added 8 Oct 2026, published 15 Sep 2026

blog.trailofbits.comarticle🛡️ Security

1Password's AI patching benchmark is misleading

Trail of Bits dissects 1Password's August 2026 report claiming AI agents (GPT-5.5, Opus 4.8) produce clean vulnerability fixes only 26% of the time, showing the figure is inflated by a hand-picked set of six hard bugs, deliberately-wrong-fix prompts (22% of trials), a no-testing mode (36% of trials), grading disagreements between automated graders and humans, and a buggy Linux upstream reference fix. Reanalyzing the same data under fair conditions (testable, non-adversarial trials) they find 86% of patches blocked the supplied exploit, and they contrast this with their own consulting data (12.5% of developer first-fixes fail) and Patch the Planet's 67.7% maintainer merge rate across 186 PRs, including a case where both a human maintainer and an agent independently introduced the same freenginx cleanup-crash regression. The post also releases two new agent skills, post-patch-validation and review-walkthrough, to improve AI-assisted patch testing and human review.

1PasswordGPT-5.5Opus 4.8+1
Patch the PlanetTrail of BitsDavi Ottenheimer+3

AI Security, AppSec· Published and added 15 Sep 2026

github.comrepo🛡️ Security

WordPress Security Skills

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.

WordPressPHPClaude Code+3
Agent Skills specification

AppSec· Added 22 Sep 2026, published 15 Sep 2026

github.comrepo🛡️ Security

pashov/skills

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.

Claude CodeSolidityEthereum
Pashov Audit Group

AI Security, AppSec· Published and added 7 Sep 2026

owasp.orgother🛡️ Security

OWASP Agentic Skills Top 10 (AST10)

OWASP project page for the Agentic Skills Top 10 (AST10), a framework that lists the 10 most critical security risks in AI agent skills across agent platforms, with mitigations and prevention strategies. It targets the behavior/execution layer of skills, which sits above MCP tool access, and maps each risk to the Cloud Security Alliance's MAESTRO 7-layer threat model. It is a useful reference for threat-modelling agent skill ecosystems.

Model Context ProtocolLLM
OWASPMAESTROCloud Security Alliance

AI Security, GRC· Added 5 Sep 2026

github.comrepo🛡️ Security

Awesome Cybersecurity Agentic AI

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.

Model Context ProtocolLangChainCrewAI+3
OWASP Top 10 for LLM ApplicationsEU AI ActOWASP FinBot CTF+1

AI Security, Offensive Security, Blue Team & Detection· Added 3 Sep 2026, published 31 Aug 2026

adversa.aiarticle🛡️ Security

OWASP Agentic Skills Top 10 explained: the ten agent skill risks, and which to fix first

Explains OWASP's Agentic Skills Top 10 v1.0 (AST01-AST10), a new framework for the risks of "agent skills" — folders with a SKILL.md file plus bundled code/scripts that agents discover and execute, treating plain-language instructions as an attack surface that neither traditional package security nor prompt-injection defenses cover. The piece details the ClawHavoc campaign (1,184 malicious skills across 12 ClawHub accounts), the ClawJacked exploit (CVE-2026-32025), Claude Code skill-related CVEs (CVE-2025-59536, CVE-2026-21852), and cites Adversa AI's own research showing a malicious skill bypassed all eight open-source scanners tested, including the OASB leaderboard leader and tools from NVIDIA (SkillSpector), Snyk, Trail of Bits, and Air Security. It closes with a prioritized remediation sequence (inventory, isolation, credential scoping, pinning, allowlisting, approval workflows, advisory scanning, cross-platform normalization) mapped to the AST entries.

Claude CodeOpenClawCursor+3
CVE-2026-32025CVE-2025-59536CVE-2026-21852+14

AI Security, Supply Chain· Added 7 Oct 2026, published 25 Aug 2026

github.comrepo🧠 AI

galleonlabs/hypergrok-trading-desk

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.

PythonHyperliquidGrok+3
Galleon LabsAndrew Wilkinson

agents, prompting· Added 5 Oct 2026, published 16 Aug 2026

github.comrepo🧠 AI

miqdadbadjuber/anti-slop

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.

Claude CodeCodexCursor+6
AntigravityAmpHermes+1

coding-agents, prompting· Added 30 Sep 2026, published 7 Aug 2026

github.comrepo🧠 AI

eternityspring/shuohao-skills

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).

Claude CodeCodexNode.js
GPTQwen

coding-agents, prompting, multimodal· Added 30 Sep 2026, published 6 Aug 2026

github.comrepo🧠 AI

Google Agent Skills

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.

Agent SkillsModel Context Protocolnpx
GoogleGoogle Cloud

coding-agents, mcp· Added 22 Sep 2026, published 3 Aug 2026

github.comrepo🧠 AI

ops-engineering-skills

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.

Claude CodeCodexCursor+1
GitHub CopilotOpenAI CodexGemini CLI+2

coding-agents, prompting, mcp· Added 22 Sep 2026, published 1 Aug 2026

github.comrepo🛡️ Security

Awesome Offensive AI Agentic Landscape

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.

Model Context ProtocolClaude CodeMetasploit+3
DARPA AI Cyber ChallengeTencent Cloud Intelligent Penetration HackathonMythos

AI Security, Offensive Security· Published and added 1 Aug 2026

arxiv.orgpaper🛡️ Security

AI Security Briefing

This arXiv paper introduces SkillSec-Eval, a lifecycle-aware framework for evaluating the security of reusable LLM agent skills, covering stages beyond runtime execution: repository admission, semantic retrieval, planner selection, execution, and skill evolution. The authors build a threat taxonomy across this lifecycle and empirically evaluate it against a repository of 327 real-world agent skills, showing vulnerabilities exist at multiple stages that prior work (focused mainly on prompt injection and runtime execution) has largely ignored.

LLM
SkillSec-Eval

AI Security· Published and added 18 Jul 2026

github.comrepo🛡️ Security

Mantis

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.

PythonGoogle Cloud

AI Security, AppSec· Published and added 15 Jul 2026

github.comrepo🧠 AI

magnus919/agent-skills

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.

CrewAILangChainLangGraph+17
PydanticGraphMicrosoftStanford University+5

coding-agents, prompting· Added 1 Oct 2026, published 11 Jul 2026

github.comrepo🛡️ Security

api-relay-audit

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.

PythonClaudeOpenAI+3
Your Agent Is MineReal Money, Fake ModelsChaofan Shou+2

AI Security, Supply Chain· Published and added 4 Jul 2026

github.comrepo🛡️ Security

Tencent/AI-Infra-Guard

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.

Model Context ProtocolvLLMllama.cpp+3
SkillTrustBenchFORGE-BenchRogueHandoff-20+7

AI Security· Added 2 Jul 2026

snyk.ioarticle🛡️ Security

What nearly 10,000 developer environments reveal about agentic development risk

Snyk Research scanned nearly 10,000 developer environments and found 43% run two or more AI coding tools, 50.8% have at least one MCP server installed (with 1 in 7 of those having a security finding, 1 in 12 high or critical), and 22.8% have agent skills installed. The analysis identified 392 confirmed prompt injection findings embedded in tool descriptions and 98 confirmed malicious code patterns in agent skill files, and cites the separate ToxicSkills study of 3,984 public skills from ClawHub and skills.sh where 13.4% had a critical security issue. The piece frames MCP servers and agent skills as a new, largely ungoverned software supply chain layer sitting outside traditional SAST/SCA/CI-CD controls.

Model Context ProtocolClaudeCursor+3
ToxicSkillsClawHubskills.sh

AI Security· Added 3 Sep 2026, published 23 Jun 2026

github.comrepo🛡️ Security

SkillSpector

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.

Model Context ProtocolClaude CodeYARA+3
Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale (Liu et al., 2026)

AI Security· Published and added 14 Jun 2026

snyk.ioarticle🛡️ Security

When a Government Pulls an AI Model: What the Fable 5 and Mythos 5 Suspension Means for Security Teams

Analysis of the June 2026 incident where a US government export-control directive forced Anthropic to globally disable Claude Fable 5 and Mythos over a reported "jailbreak" that was essentially the model reading a codebase and fixing vulnerabilities — a capability defenders use daily. The piece argues the episode illustrates dual-use AI risk, contrasts the government's opaque process with established security norms (coordinated disclosure, defense in depth, risk-based prioritization), and draws operational lessons for security teams: avoid hard dependency on any single hosted model, inventory AI usage across the stack, scan AI-generated code continuously, and prefer guardrails/monitoring over kill switches. It also cites Snyk's ToxicSkills research finding security flaws in over a third of nearly 4,000 audited AI agent skills.

AnthropicClaudeGPT-5.5+2
Fable 5MythosOWASP Top 10 for LLM Applications+4

AI Security, GRC· Added 3 Sep 2026, published 14 Jun 2026

opensourcemalware.comtalk🛡️ Security

The OpenSourceMalware Show #7

Podcast/show episode from OpenSourceMalware covering the Miasma worm campaign that compromised 32+ Red Hat @redhat-cloud-services npm packages (later 80+ packages, 286+ malicious versions) via abused npm trusted-publishing gaps rather than a GitHub Actions vulnerability, using the first in-the-wild deployment of TeamPCP's open-sourced Mini Shai-Hulud worm code across npm, PyPI, and an LLM-translated RubyGems variant. It also presents six months of OpenSourceMalware threat-report data (npm vs PyPI growth correlation, account takeovers reaching 60-65% of new weekly records, 700+ malicious ClawHub agent skills targeting marketers via SEO/TikTok/Klaviyo themes), and dissects the Moika campaign (~300 packages, oob.moika.tech C2, 260+ threat reports) as a gray-area case mixing bug-bounty-researcher signals with overtly credential-stealing payloads, alongside the long-running phenomenon of bug-bounty researchers accounting for 25-41% of malicious OSV packages and AI-hallucinated package names (e.g. Events Channel) being weaponized as typosquats.

npmPyPIRubyGems+2
TeamPCPMini Shai-HuludMiasma+11

Supply Chain, Threat Intel, AI Security· Added 3 Sep 2026, published 3 Jun 2026

github.comrepo🛡️ Security

elementalsouls/Claude-BugHunter

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.

Claude CodeBurp SuiteModel Context Protocol+2
ToolShell

Offensive Security, AppSec· Published and added 22 May 2026

github.comrepo🛡️ Security

Hack Skills

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.

Active Directory

Offensive Security, Learning· Added 3 Sep 2026, published 13 May 2026

github.comrepo🛡️ Security

huhusmang/Awesome-LLMs-for-Vulnerability-Detection

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.

LLMClaude CodeCodex
CVE-BenchVulnGymstrix+4

AI Security· Published and added 13 May 2026

github.comrepo🧠 AI

KKKKhazix/khazix-skills

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.

Claude CodeCodexCursor
QoderKimi CodeiFlow+1

coding-agents, prompting· Added 22 Sep 2026, published 8 May 2026