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 skills add paruff/uFawkesAI --skill policy-validationgit clone --depth 1 https://github.com/paruff/uFawkesAIWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/paruff/ufawkesai/policy-validation)<a href="https://agentmods.dev/skills/paruff/ufawkesai/policy-validation"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/policy-validation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/paruff/ufawkesai/policy-validation"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/policy-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00024 | $0.00462 |
| Opus 5 | $0.00012 | $0.00231 |
| Sonnet 5 | $0.00005 | $0.00092 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
policy-validation 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 5d 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.
What it actually says
Skill: Policy-as-Code Validation
Load trigger:
"load policy-validation skill"> DORA: Cap 1 (AI Policy) Token cost: Low
Purpose
Validate build output against organizational policies defined as code.
Responsibilities
- Validate manifests against OPA/Gatekeeper policies
- Validate pipelines against policy rules
- Validate directory structure conventions
- Validate compliance rules
Inputs
- Build output
- Policy definitions (OPA Rego, Kyverno policies)
Outputs
policy-report.json
Validation Rules
Manifest Compliance
- All resources have required labels
- All resources have owner annotations
- Namespace conventions followed
- Resource naming conventions followed
Pipeline Compliance
- Required stages present
- Deployment requires approval
- Rollback mechanism defined
Directory Structure
- Code organized per conventions
- Infrastructure code in designated directories
- Policy files in designated location
Organizational Policies
- Cost allocation labels present
- Disaster recovery requirements met
- Backup policies enforced
- Retention policies applied
Tools
- OPA/Rego for policy evaluation
- Kyverno for Kubernetes policies
- Conftest for manifest testing
Output Format
{
"skill": "policy-validation",
"status": "pass | fail",
"policies_checked": 12,
"violations": [
{
"severity": "medium",
"policy": "required-labels",
"resource": "deployment/my-app",
"issue": "Missing 'team' label",
"fix": "Add label team: <team-name>"
}
]
}
Success Criteria
- No policy violations
- All organizational policies enforced
- Compliance requirements met
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.
- 5d ago First seen · 94 lines · 24 tokens per session scan A caa46b3e9c2e
policy-validation is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 17d ago), licensed MIT. It adds 24 tokens to every session and 462 once invoked, about $0.0001 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 2026-09-03.
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