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 vuln-scangit 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/vuln-scan)<a href="https://agentmods.dev/skills/paruff/ufawkesai/vuln-scan"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/vuln-scan/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/vuln-scan"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/vuln-scan.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 | $0.00031 | $0.00470 |
| Opus 5 | $0.00015 | $0.00235 |
| Sonnet 5 | $0.00006 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
container-vulnerability-scanning 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: Container Vulnerability Scanning
Load trigger:
"load container-vulnerability-scanning skill"> DORA: Cap 1 (AI Policy) Token cost: Low
Purpose
Scan container layers for OS and application vulnerabilities.
Responsibilities
- Scan image layers
- Validate CVE severity
- Validate remediation suggestions
Inputs
- Container image
Outputs
container-vulns.json
Scan Command
trivy image --severity CRITICAL,HIGH --format json <image>
CVE Severity Thresholds
| Severity | Action |
|---|---|
| Critical | Block deploy, immediate fix |
| High | Block deploy, fix within 24h |
| Medium | Warn, fix within 1 week |
| Low | Log, fix in next sprint |
Validation Rules
- All image layers scanned
- No critical CVEs
- Remediation suggestions provided
- CVEs documented
Output Format
{
"skill": "container-vulnerability-scanning",
"status": "pass | fail",
"image": "my-app:v1.3.0",
"total_layers": 15,
"vulnerabilities": {
"critical": 0,
"high": 0,
"medium": 2,
"low": 5
},
"vulnerable_packages": [
{
"package": "openssl",
"version": "1.1.1",
"cve": "CVE-2021-3711",
"severity": "critical",
"fix": "1.1.1k"
}
]
}
Success Criteria
- No critical CVEs
- Remediation suggestions provided
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 · 86 lines · 31 tokens per session scan A 2d3657f79ac7
container-vulnerability-scanning is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 19d ago), licensed MIT. It adds 31 tokens to every session and 470 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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