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Agentv Governance

skill-entityprocess-agentv-agentv-governance · by EntityProcess

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Install

$ agentstack add skill-entityprocess-agentv-agentv-governance

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

AgentV Compliance Skill

Teaches AI agents how to author syntactically correct governance: blocks in AgentV eval files, and how to lint them against known vocabulary rules.

Dual mode

Authoring (interactive): When a human or AI agent is editing a *.eval.yaml file that contains or should contain a governance: block, this skill provides vocabulary, valid values, and example shapes. Load it alongside agentv-eval-writer when building red-team or compliance suites.

Linting (non-interactive / CI): When invoked from a GitHub Action (see examples/governance/compliance-lint/), this skill lints each changed *.eval.yaml file against the rules in references/lint-rules.md and returns a structured JSON report. The expected output format is:

{
  "pass": true,
  "violations": [
    {
      "rule": "known_key",
      "key": "risk_level",
      "value": "high",
      "message": "Unknown governance key 'risk_level'. Did you mean 'risk_tier'?",
      "suggestion": "Replace 'risk_level' with 'risk_tier'."
    }
  ]
}

pass is true when violations is empty.

Reference files

| File | Purpose | |------|---------| | references/governance-yaml-shape.md | YAML shape, merge semantics, worked examples | | references/lint-rules.md | Machine-readable rules applied during lint | | references/owasp-llm-top-10-2025.md | LLM01–LLM10 canonical IDs and descriptions | | references/owasp-agentic-top-10-2025.md | T01–T10 agentic-AI categories | | references/mitre-atlas.md | Common AML.Txxxx technique IDs | | references/eu-ai-act-risk-tiers.md | Four risk tiers + article references | | references/iso-42001-controls.md | Curated ISO/IEC 42001:2023 controls for AI eval |

Quick authoring guide

  1. Check which risks this eval exercises using the reference files above.
  2. Pick IDs from the relevant frameworks (owasp_llm_top_10_2025, mitre_atlas, etc.).
  3. Set risk_tier using EU AI Act vocabulary (prohibited | high | limited | minimal).
  4. Add controls as -: strings (e.g. EU-AI-ACT-2024:Art.55).
  5. Run the lint rules from references/lint-rules.md against your block before committing.
  6. See references/governance-yaml-shape.md for complete examples copied from real suites.

Accessing reference files

To load a specific reference without pulling the entire skill into context:

agentv skills get agentv-governance --ref lint-rules

Or resolve the skill directory and read files directly:

cat $(agentv skills path agentv-governance)/references/lint-rules.md

Use --full to retrieve every framework reference in one shot.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.