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40 results for โ€œNISTโ€

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  1. Show HN: I Turned DOOM into a Transformer

    Doomformer compiles integer neural networks into ZDoom maps that run in ViZDoom. Voodoo dolls do the arithmetic, and sector light levels and plane heights hold the values. Python reads every value back and compares it with a NumPy integer reference at tolerance 0. It runs MNIST (97.16 % on all 10,000 digits, every pass exact), small transformers, a learning perceptron and a SUBLEQ machine. It is about 23,000 times slower than NumPy on a small MLP.

    github.comrepoAdded 30 Oct 2026, published 29 Oct 2026๐Ÿง  AI

  2. 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 2026๐Ÿง  AI

  3. gichirimaku/wp2shell-PoC

    wp2shell-PoC is a Python proof-of-concept exploiting a pre-authentication RCE chain in WordPress core, combining CVE-2026-63030 (REST API batch route confusion) and CVE-2026-60137 (SQL injection in WP_Query). It demonstrates escalation from the route-desync bug through blind SQLi, customize_changeset forgery, and hook re-entry to administrator account creation and arbitrary command execution via a malicious plugin upload. The tool supports vulnerability checking, data extraction (union, error-based, blind techniques), and full shell access with or without existing admin credentials.

    github.comrepoAdded 23 Oct 2026, published 15 Oct 2026๐Ÿ›ก๏ธ Security

  4. BijectiveLabs/bitra

    bitra (CLI name tra) is an MIT-licensed Python framework from Bijective Labs for autonomous trading agents. Language models only read system-computed figures and give opinions, while deterministic code prices the round trip, applies declared limits, sizes the trade and sends one order with stop attached. Every cycle's briefs, answers and refusals are stored on disk with hashes. It supports many model providers and ccxt venues, with sandbox, demo and mainnet tiers.

    github.comrepoAdded 25 Oct 2026, published 13 Oct 2026๐Ÿง  AI

  5. Agent Threat Rules (ATR) โ€” 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 โ€” prompt injection, tool-poisoning, malicious SKILL.md content, and MCP exchange abuse โ€” 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 2026๐Ÿ›ก๏ธ Security

  6. nealbridges/VulnHunter

    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 2026๐Ÿง  AI

  7. Show HN: Foremerge โ€“ Catch intent conflicts between parallel coding agents

    Foremerge is an open-source coordination protocol layered above Git for parallel coding agents (Claude Code, Codex, Cursor). Agents publish semantic intent (scopes like symbol/api/schema) before editing into a shared SQLite store under .git, so Foremerge can detect intent conflictsโ€”like one agent replacing a class another is extendingโ€”that Git's text-diff merging would silently miss. It's advisory-only (no file locking), deterministic (no LLM judgment calls), and gates ChangeSet acceptance on Foremerge-run validation rather than agent self-reports.

    github.comrepoAdded 26 Sep 2026, published 21 Sep 2026๐Ÿง  AI

  8. 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 2026๐Ÿ›ก๏ธ Security

  9. Shor

    Shor is a source-available, multi-tenant autonomous pentesting platform where a ~17-agent LLM pipeline (discovery, hypothesis, adversarial screening jury, exploitation, proof replay) attacks a target URL and optionally its connected source repo. It wields 30+ real offensive tools (sqlmap, dalfox, nuclei, jwt_tool, hydra, ffuf, etc.) plus SAST/secret/SCA tools (Semgrep, Gitleaks, TruffleHog, OSV-Scanner, Trivy) in white-box mode, and only reports findings whose PoC is deterministically re-executed and confirmed by a code-enforced safety layer under a signed Rules of Engagement, with scan authorization gated behind single-use human-minted tokens on its MCP/automation surface.

    github.comrepoAdded 22 Sep 2026, published 19 Sep 2026๐Ÿ›ก๏ธ Security

  10. 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 2026๐Ÿ›ก๏ธ Security

  11. RepoGuardBench

    RepoGuardBench is a benchmark and accompanying paper that measures whether local open-weight coding agents (Qwen2.5-Coder 1.5B-14B via Ollama) stay on the bug-fix task when repository artifacts โ€” README files, issue text, code comments, test logs, and agent-rule files โ€” carry inert prompt-injection instructions. It evaluates five lightweight context- and action-level defenses (D0-D5, including a path-only action gate) across seven metrics in a sandboxed task workspace, finding no statistically clear utility winner among them. The project ships a deterministic no-GPU smoke test, paper-claim verification scripts, and reproducible tables/figures under MIT (code) and CC BY 4.0 (data) licenses.

    github.comrepoAdded 22 Sep 2026, published 13 Sep 2026๐Ÿ›ก๏ธ Security

  12. kajisho5/ffmpeg-skill

    ffmpeg-skill is an Agent Skill (SKILL.md plus 42 stdlib-only Python tools) that lets Claude Code, Cursor, Codex and other agents edit video and audio with local ffmpeg/ffprobe. It enforces a probe โ†’ edit losslessly โ†’ check โ†’ verify workflow, and every tool takes --dry-run, --json and --plan. A machine-readable contract, whose input schemas are derived at run time from each script's argparse parser (the author's "SPEC" pattern), drives an MCP server that lists a core 12 tools by default. The repo also ships per-platform render templates, a doctor capability check, a test suite and evals. It is useful as a worked example of a deterministic, verifiable skill/tool layer in which the agent supplies judgement and the tools do the work.

    github.comrepoAdded 16 Oct 2026, published 3 Sep 2026๐Ÿง  AI

  13. cyanheads/osv-advisory-mcp-server

    osv-advisory-mcp-server is an MCP server that queries the OSV.dev vulnerability database, offering single-package version checks, batch audits of up to 1000 {name, ecosystem, version} tuples for SBOM/lockfile triage, and full advisory record fetch by OSV ID (GHSA/PYSEC/RUSTSEC/GO/DSA/DLA/CVE prefixes). It surfaces CVE aliases, CVSS vectors, derived severity labels, and CWE IDs, and is designed to chain into a companion nist-nvd-mcp-server for CVSS base scores, EPSS probability, and CISA KEV status. It ships as a keyless, no-API-key tool runnable via STDIO or Streamable HTTP, with a public hosted instance and Bun/npx/Docker install paths.

    github.comrepoAdded 1 Sep 2026๐Ÿ›ก๏ธ Security

  14. galyarder-security

    galyarder-security (formerly Shannon Proxy) is a Docker/Temporal-based auditing layer that intercepts model SDK calls (Anthropic, Groq, local Ollama, etc.) and routes them through a local proxy on port 8317 rather than direct cloud endpoints, giving operators visibility into and control over what autonomous coding/tool-using agents execute. It runs structured "security sweep" and threat-modeling workflows against a target repo (`./shannon start`) and includes deterministic cleanup routines (`./shannon cleanup`) to remove agent-generated scripts and execution residue and prevent workspace pollution/exposure. It targets a threat model broader than chat-based prompt injection: agent tool-execution drift, dependency supply-chain issues, and unverified code paths in "agentic company" shell-access workflows.

    github.comrepoPublished and added 31 Aug 2026๐Ÿ›ก๏ธ Security

  15. 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 2026๐Ÿ›ก๏ธ Security

  16. Cyberful

    Cyberful is an AI red-team CLI that orchestrates 316 cybersecurity tools (203 CLI apps/commands including Nmap, Metasploit, Nuclei, plus ZAP and Ghidra) through a multi-agent system: hypothesis workers map attack surfaces and test exploit paths, while a deterministic control plane enforces engagement scope, preserves evidence, and only surfaces independently reproduced vulnerabilities. Built for authorized penetration testing, code audits, and bug bounty hunting; ships a hardened agent-controlled browser, Docker-based runtime, offline MITRE ATT&CK snapshot, and CVE dictionary.

    github.comrepoPublished and added 25 Aug 2026๐Ÿ›ก๏ธ Security

  17. aurscan

    aurscan is a Go-based CLI that hooks into yay/paru to scan a downloaded AUR package's PKGBUILD, .install scriptlets, .SRCINFO and helper scripts before makepkg runs, blocking the build if it looks malicious. It combines offline, quote-aware static rules covering known AUR campaign signatures such as disguised source patch URLs, install-scriptlet worms, masqueraded binary file types, and editor auto-exec triggers with an LLM auditor (Claude Code, Codex, Anthropic API, or a local OpenAI-compatible model) that answers a fixed checklist of yes/no behavioral questions, from which aurscan deterministically derives a verdict, severity and confidence, and fails closed when no backend is available. It documents and defends against real incidents including the July 2025 firefox-patch-bin CHAOS RAT vector, the June 2026 Atomic Arch mass orphan-package takeover pulling a Rust stealer and eBPF rootkit, and the August 2026 xsnow dot-install worm that harvested SSH keys and self-propagated across AUR.

    github.comrepoPublished and added 8 Aug 2026๐Ÿ›ก๏ธ Security

  18. autoguardrails

    autoguardrails is an open-source alignment research scaffold from Santander AI Lab, inspired by Karpathy's autoresearch pattern, that searches over a single mutable policy.md file to minimize attack success rate (ASR) against a fixed jailbreak/obfuscation eval suite while enforcing a benign-pass floor so the guardrail can't just refuse everything. It reports asr_unguarded, asr_with_policy, and policy_delta to isolate the guardrail's contribution from the target model's native safety, and supports both an offline deterministic stub and real OpenAI-compatible target/judge models.

    github.comrepoPublished and added 5 Aug 2026๐Ÿ›ก๏ธ Security

  19. Precogly

    Precogly is an open-source, now-OWASP threat modeling platform (React/TypeScript frontend, Django REST Framework/PostgreSQL backend) offering a collaborative DFD editor with trust zones, TM-BOM import/export, and community library packs linked to MITRE ATT&CK, CAPEC, STRIDE, and LINDDUN. It's positioned as compliance-aware, tracing threats and countermeasures to DORA, the EU Cyber Resilience Act, ASVS, NIST CSF, and SOC 2, and exposes a full OpenAPI REST API meant as scaffolding for AI-driven threat modeling assistants.

    github.comrepoAdded 3 Sep 2026, published 5 Aug 2026๐Ÿ›ก๏ธ Security

  20. Semantica

    Semantica is an open-source Python pipeline (pip install semantica) that ingests enterprise data and builds a queryable Context Graph and knowledge graph with deterministic (LLM-optional) reasoning, ontology management (OWL/SHACL/SKOS), and W3C PROV-O provenance for full decision auditability. It ships modules for ingestion (Databricks, Snowflake, SAP, Kafka, Git, etc.), NER/relation/event extraction, conflict detection and deduplication, Rete/Datalog/SPARQL reasoning, bi-temporal graph queries, polyglot graph storage (RDF stores and LPGs like Neo4j/Neptune), and integrations with Agno, CrewAI, LangChain, and MCP.

    github.comrepoAdded 22 Sep 2026, published 1 Aug 2026๐Ÿง  AI

  21. OpenOSINT

    OpenOSINT is a Python OSINT agent that wraps 20 investigation tools (holehe for email enumeration, sherlock for username lookup, sublist3r for subdomain enumeration, phoneinfoga for phone intel, plus HaveIBeenPwned, Shodan, VirusTotal, Censys, AbuseIPDB, IP2Location, DNS/SPF/DMARC checks, GitHub, and Bright Data-powered dorking/scraping) behind a natural-language AI interface that issues deterministic tool calls so findings can't be hallucinated. It ships as a REPL, CLI, MCP server (usable from Claude Code/Desktop, Cursor, Windsurf), or browser web UI, with an optional additive FollowTheMoney entity graph for correlating findings and pivoting between investigation results, plus documented reverse-proxy/credential-handling behavior for remote deployments.

    github.comrepoPublished and added 31 Jul 2026๐Ÿ›ก๏ธ Security

  22. redhat-et/ripwire

    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 2026๐Ÿง  AI

  23. yolorouter/yolorouter

    Yolorouter is a free, self-hosted, single-binary LLM gateway that translates between the four major chat wire protocols โ€” OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, and Gemini generateContent โ€” 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 โ€” deterministic system-prompt injection and tool-output compression for coding agents โ€” backed by a published benchmark, plus built-in usage/cost observability.

    github.comrepoAdded 2 Oct 2026, published 21 Jul 2026๐Ÿง  AI

  24. gioblu/NPC-Forge

    NPC-Forge is a framework for building deterministic, non-ML conversational NPCs/agents with multi-turn context, sentiment analysis, and tool-call support, designed to run on CPU even on embedded or obsolete hardware. It ships with an OpenAI-compatible API server so its deterministic agents can be plugged into LLM harnesses like Open WebUI or GitHub Copilot, and includes TERMy, a bundled NPC that transpiles natural-language prompts or scripts into shell commands without using any model. Agents are defined and updated via a dataset format (NDF) rather than trained, with a CLI (npc-forge list/serve/install/reboot) for managing and running them; currently an experimental Linux/WSL-only release under AGPL-3.0.

    github.comrepoAdded 30 Sep 2026, published 18 Jul 2026๐Ÿง  AI

  25. GoogleCloudPlatform/k8s-aibom

    k8s-aibom is a Kubernetes controller from GoogleCloudPlatform that generates CycloneDX 1.6 ML-BOM documents at runtime for AI workloads โ€” inference services (vLLM, TGI, Triton, Ollama), agent stacks (LangChain, AutoGen, CrewAI), RAG/vector DB infrastructure (Milvus, Qdrant, Weaviate), and training/eval jobs โ€” 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 2026๐Ÿ›ก๏ธ Security

  26. Icex0/wp2shell-poc

    wp2shell-poc is an independent proof-of-concept tool for the wp2shell vulnerability chain in WordPress core: an unauthenticated route-confusion bug in the REST /batch/v1 handler (serve_batch_request_v1) that desynchronizes matched-handler and validation arrays when a sub-request fails wp_parse_url(), letting a GET posts item-route request be dispatched under get_items() so the author_exclude parameter reaches WP_Query's author__not_in query var as unsanitized SQL. The tool's check/read/shell commands detect the route-confusion marker pattern, extract data via UNION/error-based/boolean-blind SQLi, and (without credentials) chain UNION fake-post rendering into oEmbed cache post creation, ID recovery via SQLi, and a poisoned batch request that creates a real WordPress administrator account, finishing with a plugin-upload webshell. Affects WordPress builds before 7.0.2 (or 6.9.5 on the 6.9 branch); links out to Searchlight Cyber's advisory and Elastic/Eye Security detection guidance.

    github.comrepoAdded 2 Oct 2026, published 17 Jul 2026๐Ÿ›ก๏ธ Security

  27. 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.

    github.comrepoPublished and added 15 Jul 2026๐Ÿ›ก๏ธ Security

  28. deep-scan

    deep-scan is a modular security-scanning monorepo exposing one shared scanner engine (SAST, SCA, secrets, IaC, license, malware, DAST, CI/CD checks) through a CLI, MCP server, REST API/web app, and a continuous-scanning ASPM fleet called kruncher. It adds a deterministic, AI-free code-graph engine for taint and reachability analysis to cut CVE noise to actually-reachable dependencies, an optional local-model AI triage pass, and an agent-driven MCP workflow that scans, confirms reachability, and opens fix-group PR branches with regression tests. Untrusted-repo scanning is hardened with pinned/checksum-verified tools, sandboxed subprocesses, and optional gVisor (runsc) isolation for dependency resolution on Kubernetes.

    github.comrepoAdded 3 Sep 2026, published 14 Jul 2026๐Ÿ›ก๏ธ Security

  29. apisec-inc/AI-Surface

    ai-surface is a local/offline static analysis CLI (apisec-inc) that scans a codebase for AI attack surface โ€” LLM SDK calls, agent frameworks (LangChain, AWS Strands), MCP servers, RAG/vector stores, model gateways, and provider keys โ€” and flags risk indicators such as financial-action tools with no human approval or unverified MCP servers. It generates an AI-BOM (CycloneDX), SARIF for GitHub code scanning, and maps findings to OWASP LLM Top 10, EU AI Act, NIST AI RMF, and ISO/IEC 42001, with a baseline+fail-on-severity workflow for gating new risk in PRs without blocking on pre-existing debt.

    github.comrepoPublished and added 11 Jul 2026๐Ÿ›ก๏ธ Security

  30. requie/AI-Red-Teaming-Guide

    A community-maintained GitHub guide (requie/AI-Red-Teaming-Guide) that consolidates AI red-teaming methodology, mapping techniques like prompt injection, jailbreaking (Skeleton Key, Crescendo), model extraction, data/fine-tuning poisoning, and MCP tool-poisoning/rug-pull attacks to frameworks including NIST AI RMF, OWASP Top 10 for LLM Applications and Agentic Applications, MITRE ATLAS, and CSA's Agentic AI Red Teaming Guide. It cites real incidents (OpenClaw's CVE-2026-25253, GitHub Copilot's CVE-2025-53773, the Anthropic-disrupted Claude Code state-sponsored campaign, the Morris II AI worm) and surveys red-team tooling (PyRIT, NVIDIA's Garak, DeepTeam) plus emerging agent-orchestrated red-teaming approaches.

    github.comrepoPublished and added 8 Jul 2026๐Ÿ›ก๏ธ Security

  31. XORCISM-AI/XORCISM

    XORCISM is a self-hosted, open-source enterprise risk/exposure management platform (Node.js/TypeScript over SQLite/PostgreSQL/MySQL) that unifies asset inventory, vulnerability management, threat intel (STIX/TAXII), GRC (ISO 27001, NIST CSF/800-53, EBIOS Risk Manager, NIS2, DORA), incident management, and offensive/defensive testing into one continuously recomputed per-asset and enterprise risk score. It chains recon/exploitation tool connectors (nmap, nuclei, Metasploit, sqlmap) into attack-path/choke-point graphs weighted by fusion exploitability (EPSS+CVSS+KEV+public exploits), validates detection coverage via a purple-team loop against 3,750+ Sigma rules and MITRE ATT&CK/D3FEND, and quantifies ransomware impact in dollar terms via a FAIR-style model โ€” with local-only Ollama AI assistants for triage, hunting, and reporting.

    github.comrepoPublished and added 1 Jul 2026๐Ÿ›ก๏ธ Security

  32. OASIS

    OASIS (Open Automated Security Intelligence Scanner) is an AI-powered SAST tool that runs local LLMs via Ollama or any OpenAI-compatible backend (vLLM, LiteLLM, LM Studio, llama.cpp) to detect vulnerabilities like SQLi and XSS in source code. It uses a two-phase scan (lightweight scan model + deep analysis model) orchestrated by a LangGraph pipeline (discoverโ†’scanโ†’expandโ†’deepโ†’verifyโ†’report), adds a deterministic finding-validation agent that computes exploitability verdicts with confidence, and exports canonical JSON/SARIF/HTML/PDF reports with a web dashboard, RAG-backed chat assistant, --fail-on CI gating, and suppression/inline-ignore support.

    github.comrepoPublished and added 28 Jun 2026๐Ÿ›ก๏ธ Security

  33. book-to-skill

    book-to-skill is an open-source converter that turns a technical book, docs folder, or set of source files into a structured "Agent Skill" (SKILL.md plus per-chapter files) usable by Claude Code, GitHub Copilot CLI, Amp, Hermes Agent, and OpenClaw. It pairs a deterministic Python extractor (PDF/EPUB/DOCX/etc. โ†’ clean text) with a spec-driven generator that distills frameworks, decision rules, and anti-patterns, loading chapter content on demand to claim 24x-51x fewer tokens than dumping the whole document into context.

    github.comrepoAdded 22 Sep 2026, published 10 Jun 2026๐Ÿง  AI

  34. mukul975/Anthropic-Cybersecurity-Skills

    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 2026๐Ÿ›ก๏ธ Security

  35. Tachi

    Tachi is a threat-modeling and AI-reasoning vulnerability detection harness that runs inside Claude Code, dispatching 14 specialized agents against an architecture description (Mermaid, C4, PlantUML, free-text, or ASCII) to find logic-level flaws like broken auth flows, missing privilege boundaries, prompt injection paths, and agent autonomy gaps that SAST cannot catch. It claims full 50/50 coverage across five OWASP frameworks (Web/API, LLM, Agentic, ML, Mobile Top 10s), classifies agentic AI findings against the CSA MAESTRO seven-layer taxonomy, and maps findings to MITRE ATT&CK/ATLAS, NIST AI RMF, and CWE, producing threats.md, SARIF, attack trees, quantitative risk scores, compensating-control analysis, and a PDF security report.

    github.comrepoAdded 3 Sep 2026, published 23 May 2026๐Ÿ›ก๏ธ Security

  36. DeepTeam

    DeepTeam is an open-source, locally-runnable red teaming framework for LLM applications, agents, and RAG pipelines, built on the DeepEval evaluation library. It simulates jailbreaking, prompt injection, and multi-turn adversarial attacks against 50+ vulnerability categories such as PII leakage, BOLA, BFLA, SQL injection, SSRF, and agentic goal theft, maps results to OWASP, NIST, MITRE, BeaverTails, and Aegis frameworks, and ships production guardrails to block the same issues at runtime.

    github.comrepoPublished and added 7 May 2026๐Ÿ›ก๏ธ Security

  37. 0xhackerfren/ProcMon-MCP

    ProcMon-MCP is an MCP server that gives AI assistants like Claude direct access to Windows internals: live process enumeration, ETW kernel trace start/stop via logman/tracerpt, static PE import/export analysis with API category tagging, Security event log queries (audit IDs 4688/4624/4672/4648), and service/driver/minifilter enumeration. It's positioned as a POC for security researchers and reverse engineers who want an LLM that can query kernel traces, driver lists, and process memory instead of alt-tabbing to Task Manager or Process Monitor. Several tools (ETW tracing, Security log reads) require administrator privileges and can trigger UAC prompts.

    github.comrepoPublished and added 7 May 2026๐Ÿ›ก๏ธ Security

  38. IronCurtain: Secure AI Agent Runtime

    IronCurtain is a research-prototype runtime that constrains autonomous AI agents (Claude Code, Goose, or its own builtin agent) by compiling a human-written "constitution" into deterministic policy rules enforced on every MCP tool call. It treats the LLM as untrusted, mediating all filesystem/git/network/API access through a policy engine (allow/deny/escalate), a V8 isolate sandbox for its builtin agent, and a network-isolated Docker mode with a TLS-terminating MITM proxy for external agent tools. It also ships multi-agent workflow orchestration (e.g., a vulnerability-discovery pipeline with libFuzzer/AFL++ fuzzing gates) with human approval checkpoints.

    github.comrepoPublished and added 7 May 2026๐Ÿ›ก๏ธ Security

  39. Terraform Compliance Guardrails

    A GitHub repo that automates Terraform compliance checks using Checkov and Conftest as policy-as-code scanners, wired into GitHub Actions with OIDC-based AWS authentication for CI/CD. Findings are mapped to specific NIST 800-53 controls โ€” AC-6 (least privilege), SC-7 (network segmentation), SC-13 (encryption), AU-12 (audit generation), and CM-6 (configuration settings) โ€” giving teams an auditable trail linking IaC scan results to compliance requirements.

    github.comrepoPublished and added 6 May 2026๐Ÿ›ก๏ธ Security

  40. Microsoft Agent Governance Toolkit

    Agent Governance Toolkit (AGT) is a Microsoft open-source framework that intercepts every tool call, message, and delegation made by an AI agent in deterministic application-layer code before it reaches the model, enforcing YAML/OPA/Cedar policies, agent identity (SPIFFE/DID/mTLS), and tamper-evident audit logs. It ships SDKs for Python, TypeScript, .NET, Rust, and Go, a Claude Code plugin, and CLI tools (agt verify, agt red-team scan) for OWASP-style compliance checks and prompt-injection audits. The project explicitly frames prompt-level safety as insufficient, citing a 100% adversarial attack success rate on GPT-4o/Claude 3/Llama-3 (Andriushchenko et al., ICLR 2025) as motivation for application-layer enforcement instead.

    github.comrepoPublished and added 6 May 2026๐Ÿ›ก๏ธ Security