Anthropic Cybersecurity Skills
github.com/mukul975/anthropic-cybersecurity-skills- Category
- AI Agents
- Rank
- No. 104Tools index
- Pricing
- Open Source
- Platform
- cli
- Type
- TOOL
- Builder
- mukul975
- GitHub
- 32.4k stars
- Latest release
- v1.3.0
- Date
About
An open-source library of 754 structured cybersecurity skills for AI agents, mapped to industry frameworks like MITRE ATT&CK, NIST CSF 2.0, and others. Enables AI agents to perform expert-level security analysis, threat hunting, and incident response by providing standardized workflows and decision-making processes.
What it does
This community-authored knowledge base gives compatible AI agents task-specific security playbooks. Agents discover a relevant skill through YAML metadata, then follow structured Markdown covering prerequisites, commands, expected outputs, verification steps, and deeper references. It spans defensive, investigative, governance, and authorized offensive work.
Why it's ranked here
The breadth, consistent contribution template, cross-framework metadata, and two validation tools make this a serious reference set for agent-assisted security work. The verdict is mixed by documentation drift: supplied English and French materials disagree on framework versions and coverage totals, so users should verify mappings before relying on them for compliance or reporting.
What's good
Skills are designed around decisions and execution, not topic summaries. The contribution format asks authors to state when a procedure applies, prerequisites, numbered commands, concepts, tools, scenarios, and output shape. Framework mappings remain subject-specific rather than forcing every framework onto every skill. Repository tooling checks required metadata, naming, descriptions, tags, subdomains, directory alignment, and injection-sensitive characters.
Tradeoffs
This is guidance content, not a scanner, sandbox, SIEM, or execution engine. Its offensive and dual-use procedures require explicit authorization, careful rules of engagement, and human oversight. It is an independent community project with no Anthropic affiliation. Conflicting coverage claims across supplied documentation weaken confidence in exact mapping statistics, despite the included validators.
How to use it well
Use it with a compatible coding agent when a security analyst needs a repeatable starting procedure for investigation, detection engineering, forensics, assessment, or authorized testing. Select the narrowest relevant skill, confirm prerequisites and framework identifiers, review every command, and validate outputs independently. Keep specialist tools, evidence handling, access controls, and legal authorization outside this library.
Technical notes+
README.md describes agentskills.io-compatible Markdown skills with YAML frontmatter and optional references, scripts, and assets. index.json provides a machine-readable catalog with names, descriptions, domains, and skill paths. tools/validate-skill.py uses a standard-library frontmatter parser to enforce repository metadata conventions, while tools/validate-agentskills.py separately checks stricter naming, directory alignment, description limits, and angle-bracket risks. docs/mitre-f3-mapping.md defines the F3 metadata schema and source conventions. ATTACK_COVERAGE.md contains coverage figures that conflict with newer claims in README.md, so automated consumers should not assume all documentation is synchronized.
Observed
- License
- Apache License 2.0
- Primary artifact
- Structured Markdown skills with YAML frontmatter metadata
- Installation surface
- Install through the skills package runner or clone the Git repository
- Interface
- Agent skill library for agentskills.io-compatible platforms, not an API or service
- Validation
- Python command-line validators check repository conventions and agentskills.io compliance
- Named platform support
- Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, and Gemini CLI
- Project status
- Independent community project with no affiliation to Anthropic PBC
Read from README.md, docs/mitre-f3-mapping.md, tools/validate-skill.py, tools/validate-agentskills.py, LICENSE, index.json, SECURITY.md, CITATION.cff, README.fr.md, CONTRIBUTING.md, ATTACK_COVERAGE.md, CODE_OF_CONDUCT.md.
What it can do
Map security threats to MITRE ATT&CK framework
Security threat indicators or attack patterns → MITRE ATT&CK technique mappings and tactical classifications
Execute structured threat hunting workflows
Network logs, system data, and threat indicators → Threat hunting results and security findings
Perform automated incident response procedures
Security incident data and alerts → Incident response actions and remediation steps
Conduct expert-level security analysis
Security data, logs, and system information → Security assessment reports and vulnerability findings
Generate NIST CSF 2.0 compliance mappings
Security controls and organizational requirements → NIST Cybersecurity Framework compliance documentation
Execute cross-framework security skill workflows
Security requirements across multiple frameworks → Unified security workflow execution and compliance verification
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.