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 caipe-io/ai-platform-engineering --skill security-vulnerability-reportgit clone --depth 1 https://github.com/caipe-io/ai-platform-engineeringWrote 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/caipe-io/ai-platform-engineering/security-vulnerability-report)<a href="https://agentmods.dev/skills/caipe-io/ai-platform-engineering/security-vulnerability-report"><img src="https://agentmods.dev/badge/skills/caipe-io/ai-platform-engineering/security-vulnerability-report/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/caipe-io/ai-platform-engineering/security-vulnerability-report"><img src="https://agentmods.dev/badge/skills/caipe-io/ai-platform-engineering/security-vulnerability-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00482 |
| Opus 5 | $0.00021 | $0.00241 |
| Sonnet 5 | $0.00008 | $0.00096 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
security-vulnerability-report 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 9d 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
Security Vulnerability Report
Query GitHub for Dependabot alerts, code scanning results, and secret scanning findings across repositories to produce a prioritized vulnerability report.
Instructions
Phase 1: Dependabot Alerts (GitHub Agent)
- Fetch Dependabot alerts across all configured repositories
- Alert severity, affected package, CVE identifier, fix availability
Phase 2: Code Scanning Results (GitHub Agent)
- Fetch code scanning alerts - rule ID, severity, file location
Phase 3: Secret Scanning (GitHub Agent)
- Check for secret scanning alerts - secret type, revocation status
Phase 4: Compile Report
- Aggregate across repositories with cross-repo dedup
- Prioritize by severity, exploitability, fix availability
- Calculate risk score per repository
Output Format
```markdown
Security Vulnerability Report
Executive Summary
| Severity | Open | Fixed (30d) | Dismissed |
|---|---|---|---|
| Critical | 2 | 5 | 0 |
| High | 7 | 12 | 1 |
Critical Vulnerabilities (Immediate Action Required)
1. CVE-2026-1234 - Remote Code Execution in lodash
- Repository: ai-platform-engineering/ui
- CVSS: 9.8 | Fix: Upgrade to [email protected] ```
Examples
- "Check all repositories for security vulnerabilities"
- "Show me critical Dependabot alerts"
- "Are there any secret scanning findings?"
- "Generate a security report for the ai-platform-engineering repo"
Guidelines
- Always sort by severity (critical first), then by fix availability
- Flag any vulnerabilities with known exploits in the wild as top priority
- Deduplicate shared dependencies across repos
- Never display actual secret values in the report - only the type and location
- Reference project codeguard rules: no hardcoded credentials, no banned crypto algorithms
What ships with it
1 file 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.
- 9d ago First seen · 57 lines · 42 tokens per session scan A d1f9f0afde5a
security-vulnerability-report is a skill published in the GitHub repository caipe-io/ai-platform-engineering (407 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 482 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 2026-08-30.
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