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 secret-detectiongit 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/secret-detection)<a href="https://agentmods.dev/skills/paruff/ufawkesai/secret-detection"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/secret-detection/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/secret-detection"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/secret-detection.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 | $0.00038 | $0.00537 |
| Opus 5 | $0.00019 | $0.00269 |
| Sonnet 5 | $0.00008 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
secret-detection 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 8d 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: Secret Detection & Artifact Integrity
Load trigger:
"load secret-detection skill"> DORA: Cap 1 (AI Policy) Token cost: Low
Purpose
Ensure no secrets leak into source code, logs, artifacts, or GitOps repos.
Responsibilities
- Scan source code for secrets
- Scan Git history
- Scan container layers
- Validate artifact integrity
Inputs
- Source code
- Git repo
- Container image
Outputs
secrets.jsonintegrity.json
Sub-Skills
| Skill | Purpose |
|---|---|
secret-detection/gitleaks |
Gitleaks secret scanning |
secret-detection/integrity |
Artifact integrity validation |
Secret Types Detected
| Type | Pattern |
|---|---|
| API Keys | api[_-]?key, apikey |
| Tokens | token, bearer, jwt |
| Passwords | password, passwd, pwd |
| Private Keys | BEGIN.*PRIVATE KEY |
| AWS Keys | AKIA[0-9A-Z]{16} |
| GitHub Tokens | ghp_[0-9a-zA-Z]{36} |
| Slack Tokens | xox[baprs]-[0-9a-zA-Z-]+ |
Validation Rules
- No secrets in source code
- No secrets in Git history
- No secrets in container layers
- All artifacts integrity-verified
- Secrets documented if false positive
Output Format
{
"skill": "secret-detection",
"status": "pass | fail",
"gitleaks": { "findings": 0, "critical": 0 },
"container_secrets": 0,
"artifacts_verified": 5,
"issues": []
}
Success Criteria
- No secrets found
- All artifacts integrity-verified
What ships with it
2 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.
- 8d ago First seen · 82 lines · 38 tokens per session scan A 02ee7a75adbc
secret-detection is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 19d ago), licensed MIT. It adds 38 tokens to every session and 537 once invoked, about $0.0002 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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