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 sastgit 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/sast)<a href="https://agentmods.dev/skills/paruff/ufawkesai/sast"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/sast/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/sast"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/sast.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 | $0.00040 | $0.00507 |
| Opus 5 | $0.00020 | $0.00253 |
| Sonnet 5 | $0.00008 | $0.00101 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
sast 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: Static Application Security Testing (SAST)
Load trigger:
"load sast skill"> DORA: Cap 1 (AI Policy) + Cap 6 (Operational Visibility) Token cost: Low
Purpose
Detect insecure code patterns, vulnerabilities, and misconfigurations in OBS, PIPE, and Fawkes services.
Responsibilities
- Run Semgrep rulesets
- Run CodeQL analysis
- Validate security hotspots
- Validate secure coding patterns
Inputs
- Source code
- Semgrep config
- CodeQL database
Outputs
sast.sarifsast-report.json
Sub-Skills
| Skill | Purpose |
|---|---|
sast/semgrep |
Semgrep ruleset execution |
sast/codeql |
CodeQL deep analysis |
Severity Levels
| Severity | Action |
|---|---|
| Critical | Block merge, immediate fix |
| High | Block merge, fix within 24h |
| Medium | Warn, fix within 1 week |
| Low | Log, fix in next sprint |
| Info | Log only |
Validation Rules
- No critical or high vulnerabilities
- No unsafe patterns in core logic
- SARIF output valid
- All findings triaged
Tools
- Semgrep
- CodeQL
Output Format
{
"skill": "sast",
"status": "pass | fail",
"semgrep": { "findings": 0, "critical": 0, "high": 0 },
"codeql": { "findings": 0, "critical": 0, "high": 0 },
"total_findings": 0,
"blocked": false
}
Success Criteria
- No critical or high vulnerabilities
- No unsafe patterns in core logic
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 · 84 lines · 40 tokens per session scan A 485ceee982e5
sast is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 19d ago), licensed MIT. It adds 40 tokens to every session and 507 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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