{
  "schema_version": "1.1",
  "id": "archive:https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
  "slug": "anthropic-cybersecurity-skills-1k6d1bw",
  "url": "https://feed7.dev/p/anthropic-cybersecurity-skills-1k6d1bw",
  "title": "mukul975/Anthropic-Cybersecurity-Skills",
  "why_included": "This community library packages 817 security workflows as agent skills, offering broad framework-mapped guidance while requiring careful review for offensive and dual-use tasks.",
  "summary": "The repository contains **817 skills** across **29 security domains**, using the agentskills.io format. Coverage includes 805 ATT&CK mappings, 804 NIST CSF mappings, and smaller sets for D3FEND, AI RMF, F3, and ATLAS.",
  "practical_implication": "Treat it as a searchable playbook layer for security agents: frontmatter supports cheap discovery, while full skill files provide prerequisites, procedures, decision points, and verification steps. Review the selected workflow and required access before execution.",
  "agent_context": "The repository contains **817 skills** across **29 security domains**, using the agentskills.io format. Coverage includes 805 ATT&CK mappings, 804 NIST CSF mappings, and smaller sets for D3FEND, AI RMF, F3, and ATLAS.\n\nTreat it as a searchable playbook layer for security agents: frontmatter supports cheap discovery, while full skill files provide prerequisites, procedures, decision points, and verification steps. Review the selected workflow and required access before execution.\n\nThis is an **independent community project**, not an Anthropic release. It includes offensive and dual-use material, so use must stay within owned systems or explicit written authorization; the repository’s quality claims are not independently validated here.",
  "source": {
    "name": "GitHub",
    "url": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
    "published_at": null
  },
  "source_class": "tool",
  "content_type": "GitHub Repo",
  "layer": "agent",
  "domains": [
    "security"
  ],
  "topics": [
    "skills",
    "tool-use"
  ],
  "verification": {
    "status": "needs_review",
    "label": "Needs Review",
    "method": "unverified",
    "verified_at": null
  },
  "uncertainty": [
    "This is an **independent community project**, not an Anthropic release. It includes offensive and dual-use material, so use must stay within owned systems or explicit written authorization; the repository’s quality claims are not independently validated here."
  ],
  "connected_context": {
    "meaning": "This expands the skill-catalog pattern into a security-specific playbook layer with unusually broad framework mapping and discovery metadata. Against prior candidates, its scale strengthens the case for selective routing, authorization checks, and supply-chain review rather than wholesale installation. The mappings improve findability, but neither they nor the repository’s own quality claims establish workflow correctness or safe execution.",
    "corpus_size": 479,
    "generated_at": "2026-08-18T10:04:31.600Z",
    "connections": [
      {
        "title": "zhaoxuya520/reverse-skill",
        "source_name": "GitHub",
        "source_url": "https://github.com/zhaoxuya520/reverse-skill",
        "feed7_url": "https://feed7.dev/p/reverse-skill-1e4jlfw",
        "reason": "reverse-skill supplies a narrower authorization-first, evidence-linked execution pattern that could govern selection and use of this much broader security playbook catalog."
      },
      {
        "title": "We Vetted 2000 AI Skills Before They Reached Developers — Lucas Palma, Nubank",
        "source_name": "AI Engineer",
        "source_url": "https://www.youtube.com/watch?v=iKQ78wyJEXU",
        "feed7_url": "https://feed7.dev/p/we-vetted-2000-ai-skills-before-they-reached-developers-lucas-palma-nuba-0k4ehkz",
        "reason": "The catalog’s 817 independent, dual-use skills make Nubank’s deterministic scanning, LLM review, and distribution gating directly relevant as prerequisites for trusted adoption."
      },
      {
        "title": "affaan-m/ECC",
        "source_name": "GitHub",
        "source_url": "https://github.com/affaan-m/ECC",
        "feed7_url": "https://feed7.dev/p/ecc-0438yju",
        "reason": "Both expose large cross-domain skill surfaces whose breadth increases audit and maintenance work, reinforcing selective installation and verification rather than assuming more skills improve the harness."
      },
      {
        "title": "In Code They Act, In Proof We Trust — Erik Meijer, Leibniz Labs",
        "source_name": "YouTube",
        "source_url": "https://www.youtube.com/watch?v=-CnA2lGfymY",
        "feed7_url": "https://feed7.dev/p/in-code-they-act-in-proof-we-trust-erik-meijer-leibniz-labs-1lyno2y",
        "reason": "Machine-checkable approval before side effects would strengthen the repository’s stated authorization boundary, which currently depends on users reviewing workflows and access before execution."
      }
    ]
  },
  "lifecycle": "Current",
  "published_at": null,
  "modified_at": null,
  "supersedes": [],
  "expires_at": null,
  "formats": {
    "html": "https://feed7.dev/p/anthropic-cybersecurity-skills-1k6d1bw",
    "json": "https://feed7.dev/p/anthropic-cybersecurity-skills-1k6d1bw.json",
    "markdown": "https://feed7.dev/p/anthropic-cybersecurity-skills-1k6d1bw.md"
  }
}