Install
$ agentstack add skill-entityprocess-agentv-agentv-governance ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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
- Check which risks this eval exercises using the reference files above.
- Pick IDs from the relevant frameworks (
owasp_llm_top_10_2025,mitre_atlas, etc.). - Set
risk_tierusing EU AI Act vocabulary (prohibited | high | limited | minimal). - Add
controlsas-:strings (e.g.EU-AI-ACT-2024:Art.55). - Run the lint rules from
references/lint-rules.mdagainst your block before committing. - See
references/governance-yaml-shape.mdfor 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.
- Author: EntityProcess
- Source: EntityProcess/agentv
- License: MIT
- Homepage: https://agentv.dev
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.