- Show HN: A language model that lives in a boot sector
bootgpt is a char-level language model that runs from a BIOS boot sector. A 512-byte hand-written asm MBR loads an 11.5 KB int8 model from 23 following sectors and runs it in 16-bit real mode on a 386, generating fake Linux dmesg boot logs. train.py quantises to int8 with power-of-two scales, and its integer simulation matches the asm output char for char.
github.comrepoAdded 1 Nov 2026, published 31 Oct 2026🧠 AI - Spectrmachina/Ztrust
ZTrust is a Python supply-chain scanner that checks manifests, lockfiles, source and GitHub workflows for vulnerable or malicious dependencies (via OSV.dev), typosquats, leaked secrets, unsafe lockfiles and risky CI patterns such as pwn requests and script injection. It outputs console, JSON and SARIF 2.1.0 and ships as a GitHub Action. It also includes a FastAPI bounty service using commit-reveal and shielded Zcash payouts for researchers.
github.comrepoAdded 27 Oct 2026, published 22 Oct 2026🛡️ Security - Sadra Majidi (@SadraMajidi04) on X
Impeccable is an open-source skill for AI coding agents that steers them away from generic UI output such as purple gradients and nested cards. It provides 24 commands (critique, audit, polish, typeset) and 61 detector rules that run without an LLM. It works with Claude Code, Cursor and Codex, and the repo is pbakaus/impeccable on GitHub. The source is a short tweet and gives no further detail.
x.comrepoAdded 23 Oct 2026, published 22 Oct 2026🧠 AI - OpenAI CLI
OpenAI CLI is OpenAI's official Go command-line client for the REST API. It lets users generate images, upload and download files, create and wait on batches, call the Responses API, and query admin usage endpoints from a terminal or shell script. It supports JSON, JSONL and YAML output, GJSON transforms, shell completion, and install via Homebrew, go install or release binaries.
github.comrepoAdded 23 Oct 2026, published 22 Oct 2026🧠 AI - DeepInfer: High-performance inference framework for DeepSeek models
DeepInfer is DeepSeek's open-source inference framework for offline inference of DeepSeek-V4.1-Flash, released under Apache 2.0. It covers attention data parallelism, MoE expert parallelism with load balancing, draft-token decoding with confidence-scheduled verification, batch-invariant inference, deterministic sampling and structured outputs. It runs on NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs. The KV cache system, prefill/decode disaggregation and load balancing are not included.
github.comrepoAdded 21 Oct 2026, published 20 Oct 2026🧠 AI
DeepSeek-v4.1-Flash-1017Model card for DeepSeek-V4.1-Flash-1017, a minor update to DeepSeek-V4.1-Flash with MIT-licensed weights. It claims gains in reasoning, coding, agentic tasks and visual benchmarks, with shorter task time and output length that move the performance–cost Pareto frontier across agent harnesses (Claude Code for Terminal-Bench 4.0, Mini-SWE-V2 for DeepSWE v1.1). It ships no Jinja chat template. It provides a reference encoding.py for multi-turn chat, tool calling, thinking mode, numeric reasoning effort and interleaved images, plus deepseek-recipe, Rust libraries with Python bindings for prompt encoding and output parsing. Serving recipes are given for Transformers, vLLM, SGLang and Docker Model Runner.
huggingface.corepoAdded 18 Oct 2026, published 17 Oct 2026🧠 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.
github.comrepoPublished and added 9 Oct 2026🧠 AI - microsoft/mxc
MXC is Microsoft's cross-platform sandboxed code execution system for running untrusted workloads — model output, plugins, and tool calls — behind a unified containment model with Rust, .NET, and Node SDKs. It offers multiple containment backends (ProcessContainer, Windows Sandbox, LXC, Bubblewrap, Seatbelt, MicroVM/Nanvix, Hyperlight, WSLC) with JSON-based filesystem, network, and UI policies, plus diagnostics like audit mode for building policies from observed access.
github.comrepoAdded 8 Oct 2026🧠 AI - microsoft/mxc
MXC is Microsoft's cross-platform sandboxed code execution system for running untrusted code such as LLM/agent output, plugins, and tools, offering containment backends ranging from OS-native process sandboxes (Windows Sandbox, LXC, Bubblewrap, Seatbelt) to full VMs (Nanvix MicroVM, Hyperlight). It exposes a unified JSON-based policy model for filesystem, network, and UI access controls, with Rust, .NET, and Node SDKs plus diagnostic tooling (audit mode, access-denied logging) to help developers tune containment rules for agentic workloads.
github.comrepoAdded 8 Oct 2026🛡️ Security - deepfence/YaraHunter
YaraHunter is Deepfence's open-source scanner that applies YARA rulesets against container images, running Docker containers, and filesystems to detect indicators of compromise such as malware and cryptominers. It supports CI/CD build-time scanning, at-rest image scanning, and runtime container scanning, with JSON output for automation, and is designed to eventually integrate into the Deepfence ThreatMapper platform. The README walks through detecting the XMRig cryptominer inside a container image as a worked example.
github.comrepoAdded 8 Oct 2026🛡️ Security - Show HN: Made an open-source Lego AI generator
ldraw-nova is an open-source agentic pipeline where an LLM agent (tested with models like Claude Opus 5.5 and GPT-6 Astra) takes a build prompt, reads LDraw-building instructions, and produces a plan.json describing a model's geometry. From that plan it writes a Python generator script that, when executed, outputs an LDraw (.mpd) 3D CAD source file, viewable in 3D/VR (Meta Quest 3) or exportable to Blender-editable glTF. The agent uses jev-rerank, a semantic search tool with reranking backed by TypeSafe's Jev System One model, to find suitable LEGO parts and example models, falling back to full-text search without an API key; it also uses headless rendering and collision/gap detection to self-inspect and iterate on designs.
github.comrepoAdded 3 Oct 2026, published 2 Oct 2026🧠 AI - NuvexNetwork/nuvex
Nuvex is a Solana-native verifiable compute and oracle protocol, still pre-mainnet, whose own README documents unresolved security gaps instead of hiding them: its VRF proof verification relies on solana-ecvrf 0.0.1 (RFC 9381 ECVRF-Edwards25519-SHA512-TAI) which has no known audit, max_fee is stored but never actually charged, and VRF fulfillment is first-come among any node meeting the configured stake/heartbeat threshold — meaning an operator who funds several keys at a low minimum stake can selectively pick which randomness output gets used. The deploy-mainnet script is stubbed to exit before any transaction, and unresolved design questions (fee shares, challenge/reject state transitions) are tracked as explicitly blocked ADRs rather than quietly shipped.
github.comrepoPublished and added 2 Oct 2026🛡️ Security - Andrea (Drego) Draghetti 👨🏻💻 🎣 (@AndreaDraghetti) on X
Tosint v1.0.0 is an open-source Telegram OSINT tool for analyzing bots and chats, exporting message history and media. The new release adds richer JSONL metadata output, optional SHA-256 hashing of exported media, bot/user authentication support, and an automatic fallback from MTProto-based history retrieval to ID-scan mode when dealing with restricted chats.
x.comrepoAdded 2 Oct 2026, published 30 Sep 2026🛡️ Security - Agent Threat Rules (ATR) — open detection-rule standard for AI agent threats
Agent Threat Rules (ATR) is an open, versioned YAML rule format (ATR-YYYY-NNNNN scheme) for detecting AI-agent runtime threats — prompt injection, tool-poisoning, malicious SKILL.md content, and MCP exchange abuse — evaluated by a reference TypeScript engine (with a Python wrapper) shipped as an npm/pip package, CLI, GitHub Action, and Docker scanner with SARIF output. The project positions itself as "Sigma for agent threats," maps rules to OWASP Agentic/LLM Top 10, MITRE ATLAS, and NIST AI RMF, and publishes an extensive (and unusually self-critical) benchmark suite against corpora like garak, PromptBench, and PromptInject, including documented harness bugs and withdrawn recall figures.
github.comrepoAdded 26 Sep 2026🛡️ Security - graygnatconsole/mcp-audit-tool
mcp-audit-tool is a dependency-light Python CLI that statically scans Claude Desktop, Cursor, Windsurf, Cline, Zed, and VS Code MCP configuration files for security issues, including hardcoded secrets, unpinned/rug-pull packages, pipe-to-shell installers, tool-poisoning via hidden instructions in tool descriptions, filesystem servers rooted at '/', and unauthenticated plaintext HTTP MCP endpoints. It auto-discovers configs across macOS/Linux/Windows, produces a security score/grade plus SARIF 2.1.0 output for GitHub Code Scanning, and is built around the OWASP MCP Top 10 categories with a CI/CD example that fails builds on severity thresholds. The roadmap adds live server probing over stdio/SSE for runtime rug-pull detection and an ML-based prompt-injection classifier for tool descriptions.
github.comrepoPublished and added 26 Sep 2026🛡️ Security - git-pkgs — dependency history & supply-chain analysis for git repos
git-pkgs is a Go rewrite of a Ruby tool that adds a git subcommand for tracking dependency changes across a repository's history, indexing manifests/lockfiles from 36+ package managers (npm, RubyGems, Cargo, PyPI, Maven, Composer, Go modules, etc.) into a local SQLite database. Beyond history/blame/diff, it offers supply-chain security commands: `vulns` (OSV-based CVE scanning with SARIF output for GitHub code scanning, plus blame/praise/exposure for remediation metrics), `licenses` (with drift detection and CI-friendly exit codes), `deprecated`, `provenance` (trusted-publishing/attestation checks), `integrity` (lockfile hash drift detection), `maintainers`/`health` (via ecosyste.ms metadata), and `sbom` export in CycloneDX/SPDX. It also supports a dependency-aware `bisect` to find when a vulnerability, license change, or capability (e.g. network access) was introduced, and ships GitHub Actions for CI integration.
github.comrepoAdded 25 Sep 2026🛡️ Security - shai-hulud-detect: multi-ecosystem npm/PyPI/Composer/Crates/Go/Hex/RubyGems supply-chain worm scanner
shai-hulud-detect is a dependency-free Bash scanner that checks projects against a 5,782-entry list of compromised npm, PyPI, Composer, Crates, Go, Hex, and RubyGems package versions, plus content-pattern indicators of compromise (malicious file hashes, C2 domains, dead-man's-switch artifacts, forged commits, suspicious lifecycle hooks) tied to the Shai-Hulud supply-chain attack waves. It supports single-project and bulk scanning, CI-friendly exit codes, JSON/log output for pipeline gating, and a --check-host mode to detect the May 2026 gh-token-monitor/kitty-monitor persistence daemons that wipe hosts if their monitored GitHub token is revoked (with a documented safe remediation order). Detection is read-only; new package entries are sourced from named threat-research firms (Socket, StepSecurity, Aikido, Snyk, JFrog, Wiz, Semgrep, SafeDep, GitGuardian, OX Security) and cited in PRs.
github.comrepoAdded 23 Sep 2026🛡️ Security - StellarFoundry/soroban-security-scanner
soroban-scan is an open-source, deterministic static analyzer for Stellar Soroban smart contracts and Rust projects. It ships 19 Soroban-aware detectors (SS-001 to SS-033) covering missing authorization, re-initialization, cross-contract call ordering, unchecked arithmetic and storage or resource misuse. Output includes JSON, SARIF 2.1.0 and GitHub annotations, with baselines and a PR-scanning Action. The project describes itself as early development.
github.comrepoAdded 28 Oct 2026, published 21 Sep 2026🛡️ Security - Outrider Recon
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 - Tongyi-MAI/Qwen-Planner-Agent
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 - Oldcircle/geo-sleuth
geo-sleuth is an open-source Agent Skill that lets any tool-using agent (Claude Code, Codex, Cursor, Gemini CLI, OpenCode, GitHub Copilot) geolocate a photo without relying on text, license plates or landmarks, instead using OpenStreetMap geometry, elevation data, satellite tiles and street view. It structures the task as a scored candidate board with ~20 single-purpose Python scripts (sun/terrain/osm/pose analysis, CLIP-ranked satellite matching, DINOv2+SIFT street-view matching) that do the ranking, while the LLM only judges among top candidates and must cite the command/file behind every claim. Output includes coordinates with an error radius, camera heading, and an evidence image.
github.comrepoAdded 26 Sep 2026, published 18 Sep 2026🧠 AI - Shai-Hulud-2.0-Detector — npm supply-chain compromise scanner
Shai-Hulud-2.0-Detector is a GitHub Action and CLI tool that scans package.json/lockfiles for packages compromised in the Shai-Hulud 2.0 (Nov 2025) and ChainDrop (Aug 2026) npm supply-chain worms. It uses semver-precise matching against a database of 1,241+ known-compromised package versions (auto-updated daily from Datadog and Wiz Research feeds) to flag malicious preinstall/postinstall droppers (setup_bun.js, Math_Symbol.js), rogue GitHub self-hosted runners named SHA1HULUD, and ChainDrop's new IDE-persistence hooks in .claude/settings.json and .vscode/tasks.json. It ships SARIF output for GitHub Security tab integration, an allowlist system, and a detailed incident-response guide covering credential rotation and forensic checks.
github.comrepoAdded 16 Sep 2026🛡️ Security - y0usaf/pi-jev
pi-jev is an npm extension (@y0usaf/pi-jev) that adds a typed decision layer to the Pi coding agent: a gate scores pending bash/write/edit tool calls on destructiveness, exfiltration risk, scope, and impact before they run, while an output judge scans bash results for leaked secrets and classifies command failures (retry/environment/code_bug/permission/user_error). Answers come back as probabilities or choice distributions rather than prose, are batched into one API round trip to api.typesafe.ai, cached per input, and fail open on any error so a dead endpoint never blocks the agent. The README documents calibration work behind the thresholds (e.g. destructive=0.90, leak=0.90) derived from repeated fixture runs, and details argument/output truncation and key redaction to limit what leaves the machine.
github.comrepoAdded 26 Sep 2026, published 16 Sep 2026🛡️ Security - y0usaf/pi-jev
pi-jev is a decision-layer extension for the Pi coding agent that asks a separate model (Jev/TypeSafe) typed yes/no, choice, or score questions about pending tool calls and their outputs, returning probabilities and confidence scores instead of prose. It gates bash/write/edit calls for destructive, exfiltration, and out-of-scope risk, judges bash output for leaked secrets and failure classification, and exposes a jev_ask tool for the model to request the same structured judgements itself. The README documents empirically calibrated thresholds (e.g. destructive=0.90, leak=0.90) derived from repeated test runs rather than arbitrary defaults.
github.comrepoAdded 26 Sep 2026, published 16 Sep 2026🧠 AI - Cloudflare security-audit-skill
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
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 - AWSHound — AWS BloodHound OpenGraph Collector
AWSHound is a Go CLI/container tool that collects AWS IAM and authorization data across profiles, config-file opt-ins, or an entire AWS Organization (via cross-account role assumption), and outputs a BloodHound OpenGraph for attack-path analysis. It supports phased collection with on-disk artifacts, offline graph building from previously collected data, and safeguards like --max-api-requests and --max-api-requests-per-minute to bound AWS API traffic during collection.
github.comrepoAdded 8 Sep 2026🛡️ Security - headroomlabs-ai/headroom
Headroom is an open-source (Apache 2.0) local compression layer that sits between AI agents and LLM providers, compressing tool outputs, logs, RAG chunks, files and conversation history before they reach the model. It offers a Python/TypeScript library, a drop-in proxy, an `headroom wrap` mode for popular coding agents (Claude Code, Codex, Cursor, Copilot, Aider, etc.), an MCP server, cross-agent shared memory with dedup, and output-token reduction via verbosity steering and effort routing — all running locally with reversible compression (CCR) so originals stay retrievable.
github.comrepoAdded 23 Sep 2026, published 7 Sep 2026🧠 AI - ForgeGuardian
ForgeGuardian is an open-source (Apache 2.0) supply chain security scanner covering 9 package ecosystems (npm, PyPI, Go, Maven, RubyGems, Cargo, NuGet, Hugging Face, GitHub Actions) via 8 concurrent scan engines and 223+ built-in malicious-package detection signatures. It runs fully offline/local-first, offers a CLI (fgctl) and self-hosted SOC-style dashboard, generates CycloneDX/SPDX SBOMs, supports Sigstore keyless signing and provenance tracking, policy-as-code rules, dependency topology/attack-surface mapping, drift detection with auto-quarantine, and SARIF output for GitHub Actions CI integration, plus optional AI-powered advisory/patch-agent triage.
github.comrepoPublished and added 5 Sep 2026🛡️ Security - OWASP OASIS
OWASP OASIS is a proposed community project that operationalizes turning automated vulnerability/fix-generation tool output into human-validated pull requests submitted upstream to open source projects. It defines a full lifecycle (intake, weighted validator review with accept/reject/modify/duplicate decisions, OWASP adoption, ephemeral working forks, upstream submission) plus roles (project owners, validators, maintainer liaisons, automation operators) and outcome metrics like upstream acceptance rate. The GitHub repo lays out governance via a validators.yml credibility file, CODEOWNERS-gated scoring, and GitHub Projects/issue templates to run the whole thing without custom tooling.
github.comrepoPublished and added 5 Sep 2026🛡️ Security - PackageGuard
PackageGuard is an open-source .NET CLI tool that scans NuGet, npm, pnpm and Yarn dependencies (direct and transitive) across a codebase, enforcing hierarchically-configured allow- and deny-lists for licenses, packages and versions. It scores each package's Legal, Security and Operational risk using signals like OSV vulnerability data, maintainer activity, package signing and release cadence, and can emit a CycloneDX or SPDX SBOM enriched with OSV vulnerability data, plus console, HTML and SARIF output for CI/GitHub code scanning. It's positioned as a free alternative to commercial supply-chain tools like Black Duck and Snyk.
github.comrepoPublished and added 31 Aug 2026🛡️ Security - DataSentry
DataSentry is a Claude Code plugin that redacts secrets (AWS keys, tokens, credentials) from tool outputs before they enter the model's context window, using deterministic hooks rather than model instructions, and blocks prompts that contain live credentials. It ships 40 regex-based detection rules (ported from an enterprise Warp ADE ruleset), stable per-secret placeholders via sha1 hashing, per-category overrides, an audit log, and a fail-closed mode; PII/financial/healthcare pattern detection is reserved for a paid Enterprise tier.
github.comrepoPublished and added 27 Aug 2026🛡️ Security - Rekono
Rekono is an open-source pentesting automation platform that chains 19 hacking tools (Nmap, Nuclei, Metasploit, OWASP ZAP, Nikto, Gitleaks, SearchSploit, etc.) so that output from one tool feeds the next, automatically covering recon, service enumeration, vulnerability scanning, and exploit correlation. It deduplicates findings into a single attack-surface inventory per host/port, enriches CVEs with community context for prioritization, tracks fixed/reopened vulnerabilities, and supports team collaboration, scheduled scans, Telegram/email alerts, and report generation for engagements.
github.comrepoAdded 3 Sep 2026, published 27 Aug 2026🛡️ Security - flawed
flawed is a static-analysis engine for Python web applications that builds a framework-aware model of an app's routes, request inputs, state effects, call graph, and value flow, exposing it both as a queryable Python library (open_repo(), load_findings()) and a CLI scanner. It runs pluggable rule modules (@detector contract) across three layers — L1 index, L2 semantic model, L3 rules — and outputs findings as JSON/SARIF with baseline diffing support for CI use.
github.comrepoPublished and added 23 Aug 2026🛡️ Security - vscan
vscan is an open-source, lightweight, cross-platform website vulnerability scanner built for authorized security assessments. It combines port scanning and fingerprint identification (using a merged database of ~6,832 fingerprints from eHole, wappalyzergo, and local rules), login credential brute-forcing, sensitive file detection, and vulnerability PoC checks compatible with both Xray and Nuclei PoC formats. It supports flexible input (STDIN/host/IP/CIDR/URL/TXT) and output formats (JSON/TXT/CSV/STDOUT).
github.comrepoPublished and added 15 Aug 2026🛡️ Security - Cariddi
Cariddi is a Go-based CLI tool that crawls a list of domains/URLs to discover endpoints, secrets, API keys, tokens, and juicy file extensions. It supports proxying through Burp Suite, custom headers, secret/endpoint regex files, JSON/HTML/TXT output, and configurable crawl depth and concurrency, making it a common recon tool in bug bounty and pentest workflows.
github.comrepoAdded 3 Sep 2026, published 12 Aug 2026🛡️ Security - xiaoyeuzixi/revlab
REVLab is a Windows-local binary analysis workbench for PE files, Unreal Engine dumps and Unity game folders. Its graph workflow engine runs LLM analysis nodes as tool-calling operators: up to 6 tool rounds by default, a target path locked by the workflow, a saved tool_trace, and a read-only fallback when the gateway lacks tools support. Evidence is labelled static, runtime, inferred or blocked, and model output is capped at ai_inferred. An MCP server lets external agents read evidence and submit conclusions.
github.comrepoAdded 23 Oct 2026, published 11 Aug 2026🧠 AI - Leonxlnx/unlazy
unlazy is an agent skill for Claude Code, Codex CLI and other agent harnesses that enforces "completion discipline": before AI-agent work is reported done, it must satisfy a ledger of runnable gates (GATES.md) whose shell/Node checks are executed and whose output must match a declared EXPECT: string, with digest-bound evidence, approval records, and --reverify to re-run already-"complete" gates. It also provides scoped multi-leaf/branch orchestration with lease-based claiming for parallel agent dispatch, a Claude Code Stop-hook that blocks premature completion, and documentation of the threat model (shell resolution, PATH, approval storage) around executing arbitrary checker commands. The README grounds the design in cited research on LLM laziness, premature truncation, and over/under-thinking (e.g. METR's Time Horizon, SlopCodeBench, OptimalThinkingBench, s1), while being explicit that this research motivates but does not prove the tool's effectiveness.
github.comrepoAdded 2 Oct 2026, published 9 Aug 2026🧠 AI - HarnessRouter/harnessrouter
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 - SecureAI-Scan
SecureAI-Scan is an offline CLI that performs import-resolved dataflow analysis on TypeScript, JavaScript, and Python code to find LLM/MCP/Agent-Skill/RAG-specific risks (prompt injection, tool poisoning, unsafe output handling, vector-store access control), mapped to the OWASP Top 10 for LLM Applications, Agentic Applications, and MCP Top 10. It distinguishes proven dataflow traces from heuristic keyword matches, scans .mcp.json/claude_desktop_config.json/SKILL.md for tool-poisoning and command-injection patterns (citing the WhatsApp MCP rug-pull and postmark-mcp backdoor), and includes evasion-resistant deobfuscation checks built in response to the "Cloak and Detonate" adversarial study (arXiv:2607.02357) that bypassed most published skill scanners. It also runs offline advisory checks against known-malicious/vulnerable packages (validated against CVE-2025-6514 and CVE-2024-34359) and integrates via GitHub Actions, pre-commit hooks, SARIF output, and an MCP server for Claude Code.
github.comrepoPublished and added 5 Aug 2026🛡️ Security - npm-scan
npm-scan is a CLI supply-chain security scanner (@lateos/npm-scan) that inspects npm packages and lockfiles for behavioral attack patterns missed by npm audit/Snyk/Socket, including obfuscated payloads, credential stealers, eBPF kernel rootkits, memory-level OIDC token extraction, GitHub maintainer-account spoofing, and AI-platform-targeted key theft. It ships 23 detectors (D1-D25), validated against real campaigns like IronWorm and Miasma, and outputs SBOM (CycloneDX/SPDX) and SARIF for GitHub Security, plus a workflow to submit critical findings to CISA's VINCE with mandatory manual review. It's free (MIT) for individuals/OSS/evaluation, with paid commercial tiers ($799-$9,900/yr).
github.comrepoPublished and added 5 Aug 2026🛡️ Security - Clairvoyance
Clairvoyance is a Python tool that reconstructs a GraphQL API's schema even when introspection is disabled (e.g., Apollo Server in production mode) by brute-forcing field and type names against the API using wordlists. Output is JSON schema compatible with downstream tools like GraphQL Voyager, InQL, and graphql-path-enum, making it useful for API reconnaissance during bug bounty and pentest engagements.
github.comrepoPublished and added 31 Jul 2026🛡️ Security - hackingtool
hackingtool is a console launcher that bundles 215 curated security tools across 21 categories (recon, OSINT, wireless, phishing, forensics, post-exploitation) so users can install and run them without hunting down individual Git repos. Its newer AI layer maps plain-English goals to the right tool and exact command, plans multi-step objectives with confirmation gates, and drafts engagement reports, while emphasizing safe installs (pinned/SHA-256-verified downloads, no curl|bash, list-form subprocess calls, signed releases with SBOM) and refusing out-of-scope asks like DoS or mass-targeting. It also ships a non-interactive orchestrator (`--engagement`/`--pipeline`) that normalizes tool output into findings.json for red team, blue team, OSINT, bug bounty, and DFIR workflows.
github.comrepoAdded 3 Sep 2026, published 31 Jul 2026🛡️ Security - lockfale/OSINT-Framework
OSINT Framework is a curated, categorized index of free (mostly) open-source intelligence tools and resources, organized by data type (username, domain, IP, email, social media, etc.) and rendered as an interactive tree at osintframework.com. Each entry in the underlying arf.json is tagged with metadata like whether it requires local install (T), a Google dork (D), registration (R), or manual URL editing (M), plus richer fields such as input/output type, pricing, and opsec notes. It's a long-standing community reference for recon and investigation tradecraft across infosec and other fields.
github.comrepoPublished and added 31 Jul 2026🛡️ Security - Sherlock
Sherlock is a command-line OSINT tool that checks over 400 social networks for the existence of a given username, outputting results to text, CSV, or XLSX files. It supports proxying, JSON-based site definitions, NSFW site inclusion, and browsing found accounts directly, making it a staple recon tool for investigators, red teamers, and social engineering research.
github.comrepoPublished and added 31 Jul 2026🛡️ Security - Semgrep Rules (0xdea)
A "battle-tested" collection of Semgrep rules by researcher 0xdea aimed at C (and some C++) vulnerability hunting, covering buffer overflows, use-after-free/double-free, format string bugs, integer truncation/wraparound, command injection, insecure APIs (gets, strcpy, sprintf, scanf family), privilege management ordering, ReDoS, and dozens of other memory-safety and secure-coding checks. Rules are published to the Semgrep registry as "p/0xdea" and can be run directly via `semgrep --config "p/0xdea"` or cloned locally, with SARIF output support for triage in VS Code via SARIF Explorer. The repo also documents a roadmap including porting rules to the Semgrep Pro engine for taint/inter-procedural analysis.
github.comrepoAdded 3 Sep 2026, published 31 Jul 2026🛡️ Security - glsec
glsec is a security linter for GitLab CI (.gitlab-ci.yml) configuration files, analogous to zizmor/actionlint for GitHub Actions. It detects misconfigurations like mutable image tags, unquoted user-controlled CI variables in scripts, and other issues mapped to 84 rules across 8 OWASP CI/CD Security categories (excluding IAM and logging, which require platform-level access). It supports baseline/ignore workflows, ShellCheck integration, SARIF/Code Climate/JUnit output for GitLab dashboards, a pre-commit hook, and a Claude Code plugin, and ships releases with Sigstore/cosign signing and SLSA provenance attestations.
github.comrepoPublished and added 29 Jul 2026🛡️ Security - Visa Vulnerability Agentic Harness (VVAH)
VVAH is Visa's open-source agentic harness that runs an eleven-stage (S0–S11) LLM pipeline to discover, verify, report, and optionally remediate/validate application vulnerabilities, built on learnings from Anthropic's Project Glasswing. It combines threat-modeled discovery, multi-lens adversarial analysis, interprocedural taint analysis, and a beta live-HTTP "exploit verification" stage (S6) that proves exploitability and supports regression-testing fixes via ev-replay, outputting Markdown and SARIF 2.1.0 findings with CVSS/CWE data.
github.comrepoPublished and added 29 Jul 2026🛡️ Security - DevCop95/shodan_reconsx
recons101x (shodan_reconsx) is a passive-by-default Python CLI that enumerates hostnames published to certificate transparency logs via ctl.shodan.io, requiring no Shodan API key. It supports optional active features — DNS resolution, TCP/HTTP reachability probing on ports 443/80, bounded live scans, and certificate metadata enrichment — with status states (DNS_ONLY, TCP_REACHABLE, HTTP_REACHABLE, STALE), JSON/TXT output, and safeguards like --max-time, --active-only, and explicit warnings to only scan authorized domains.
github.comrepoAdded 30 Sep 2026, published 29 Jul 2026🛡️ Security - SeClaw
SeClaw is a benchmark framework for evaluating security risks of autonomous LLM agents, combining spec-driven synthesis of security tasks (covering resource, task, environment, and intrinsic-agent risk categories) with execution-based evaluation in a Docker sandbox. The repo ships SeClaw-Bench, a public dataset of 150 OpenClaw task directories, plus batch-execution scripts that record full agent trajectories (tool calls, file ops, outputs) and grade them against a multi-dimensional risk rubric covering information leakage, privilege misuse, content safety, and compliance risks, rather than only judging final responses.
github.comrepoPublished and added 22 Jul 2026🛡️ Security - QoderAI/better-harness
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 - yolorouter/yolorouter
Yolorouter is a free, self-hosted, single-binary LLM gateway that translates between the four major chat wire protocols — OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, and Gemini generateContent — so a client built for one provider (e.g. Claude Code) can be pointed at any other. It adds multi-provider failover, round-robin upstream API key pooling with rate-limit/quota handling, per-key budgets and access control, a multi-user admin console with OAuth2/OIDC SSO, and native image/video generation support for OpenAI-shaped and non-OpenAI-shaped providers (DashScope, Volcengine Ark, Kling, MiniMax). It also ships cost-optimization features — deterministic system-prompt injection and tool-output compression for coding agents — backed by a published benchmark, plus built-in usage/cost observability.
github.comrepoAdded 2 Oct 2026, published 21 Jul 2026🧠 AI - weirdmachine64/GhidraGPT
GhidraGPT is a Ghidra extension that sends a selected function's decompiled C to an LLM provider (OpenAI, Gemini, Ollama, etc.) and streams results back into a console, offering three actions: Explain (natural-language summary), Rewrite (recovers names/types and writes them back into the Ghidra database), and Audit (best-effort single-function review for issues like unbounded copies and integer overflows). Analysis is scoped to one function's decompiler output with no cross-function dataflow, so audit findings are leads to verify rather than sound static-analysis proof; API keys are stored locally with only XOR obfuscation, not real encryption.
github.comrepoPublished and added 20 Jul 2026🛡️ Security - CyberSunil/LLMVault
LLMVault is a self-hosted, deliberately-vulnerable training range modeled on WebGoat but for LLM applications, covering 25 labs across the OWASP Top 10 for LLM Applications (2025) - prompt injection, jailbreaking, data/model poisoning, agent exploitation, model extraction, and insecure downstream output handling. It ships two modes: a scored Play Mode with scripted assistants for repeatable flag capture, and an unscripted Live Mode that points the same attacks at a real local Ollama model (qwen2.5:3b-instruct) with a freshly minted per-session secret, requiring the player to actually talk the model into leaking it. Each lab pairs the attack with a written defense explanation, and an expert tier is shipped AES/Fernet-encrypted and unlocked manually by the maintainer.
github.comrepoPublished and added 18 Jul 2026🛡️ Security - GoogleCloudPlatform/k8s-aibom
k8s-aibom is a Kubernetes controller from GoogleCloudPlatform that generates CycloneDX 1.6 ML-BOM documents at runtime for AI workloads — inference services (vLLM, TGI, Triton, Ollama), agent stacks (LangChain, AutoGen, CrewAI), RAG/vector DB infrastructure (Milvus, Qdrant, Weaviate), and training/eval jobs — by watching Kubernetes API objects with no privileged access. Each BOM attribute carries a declared/inferred/unresolved confidence flag and evidence locator, and the project positions its output as auditor-traceable evidence for EU AI Act Article 12/50, NIST AI RMF, and ISO/IEC 42001 compliance, with redaction filters, immutable GCS write-once sinks, and Sigstore-signed release attestations.
github.comrepoPublished and added 18 Jul 2026🛡️ Security - AI-Powered Threat Modeling
AITM is an open-source Python CLI (MIT licensed) that automates STRIDE threat modeling of system architectures using LLMs via Bedrock, OpenAI, or local Ollama. Given a text description or architecture diagram image, it identifies assets and data flows, generates STRIDE-categorized threats with CWE mapping (e.g. CWE-89 for SQLi), scores risk on a 5-level matrix, and outputs actionable mitigations in Markdown or JSON. The engine is stateless with a Pydantic data contract, designed to later support a REST API and frontend; an enterprise edition with additional features is offered commercially.
github.comrepoAdded 3 Sep 2026, published 17 Jul 2026🛡️ Security - Skills Janitor
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 - Protect AI llm-guard
LLM Guard (Protect AI) is an open source Python toolkit that wraps input/output scanners around LLM applications to detect and block prompt injection, PII/data leakage, toxic or harmful content, and other unsafe interactions, with a pip-installable library and API deployment option. The project has since been archived and is no longer maintained, though the code and associated Hugging Face models remain publicly available.
github.comrepoAdded 3 Sep 2026, published 14 Jul 2026🛡️ Security - NVIDIA-NeMo/Guardrails
NeMo Guardrails is NVIDIAs open-source Python toolkit (nemoguardrails) for adding programmable rails between an application and an LLM, covering input, dialog, retrieval, execution, and output stages. It ships built-in defenses against jailbreaks and prompt injection, self-check fact-checking and hallucination detection, sensitive-data masking, integrations with NVIDIA safety models, ActiveFence and PolicyAI moderation, LangChain, and a Colang DSL for defining conversational flow rails, plus a CLI/server and an evaluation tool for vulnerability scanning against sample bots.
github.comrepoPublished and added 14 Jul 2026🛡️ Security - meta-llama/PurpleLlama
Purple Llama is Meta's umbrella repo of tools and evals for building safely with generative AI, bundling Llama Guard (input/output content moderation fine-tuned on Llama 3.1/3.2), Prompt Guard (detects prompt injection and jailbreak attempts), Code Shield (inference-time filtering of insecure LLM-generated code and code-interpreter abuse prevention), and the CyberSec Eval benchmark suite (CWE/MITRE ATT&CK-based tests now spanning insecure code generation, offensive cyber capability, spear-phishing, and visual prompt injection). It matters as one of the first industry-wide, MIT-licensed benchmark and safeguard sets specifically for LLM cybersecurity risk.
github.comrepoPublished and added 14 Jul 2026🛡️ Security
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