Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/entityprocess/agentv/agentv-governancenpx skills add EntityProcess/agentv --skill agentv-governancegit clone --depth 1 https://github.com/EntityProcess/agentvWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00124 | $0.00841 |
| Opus 5 | $0.00062 | $0.00420 |
| Sonnet 5 | $0.00025 | $0.00168 |
| Haiku 4.5 | $0.00012 | $0.00084 |
Grade A, and why
agentv-governance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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<FRAMEWORK>-<VERSION>:<ID>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.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 80 lines · 124 tokens per session scan A 43ecfd08096b
agentv-governance is a skill published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 1mo ago), licensed MIT. It adds 124 tokens to every session and 841 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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