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 davistroy/claude-marketplace --skill security-analysisgit clone --depth 1 https://github.com/davistroy/claude-marketplaceWrote 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/davistroy/claude-marketplace/security-analysis)<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/security-analysis"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/security-analysis/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/davistroy/claude-marketplace/security-analysis"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/security-analysis.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 | $0.00061 | $0.03859 |
| Opus 5 | $0.00030 | $0.01929 |
| Sonnet 5 | $0.00012 | $0.00772 |
| Haiku 4.5 | $0.00006 | $0.00386 |
Grade A, and why
security-analysis 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Analysis Framework
Perform a comprehensive security vulnerability scan and analysis of the current project. Identifies the technology stack, scans for vulnerabilities in source code and dependencies, assesses real-world risk with context-aware analysis, and produces an actionable remediation roadmap.
Conditional-Load Confirmation
paths: does not auto-run this skill — it only makes the skill loadable once you (Claude) have touched one of the listed manifest files with a Read, Edit, or Write tool call this session (see ADR-0012). If you then choose to invoke this skill on your own initiative because you noticed such a manifest was touched — rather than the user directly asking for /security-analysis — confirm first with AskUserQuestion:
{
"questions": [
{
"question": "A dependency manifest file was changed (package.json, pyproject.toml, Cargo.toml, go.mod, requirements.txt, or Gemfile). Run a security scan now? This audits dependencies for known CVEs and may take 1-15 minutes depending on project size.",
"header": "Security",
"multiSelect": false,
"options": [
{
"label": "Yes - dependencies only",
"description": "Faster scan targeting the changed manifests only (--dependencies-only). Skips deep taint analysis and fuzzing methodology review."
},
{
"label": "Yes - full scan",
"description": "Complete scan: tech-stack detection, dependency audit, source-code patterns, taint analysis, and fuzzing methodology review."
},
{
"label": "No",
"description": "Nothing is scanned; you can run /security-analysis manually at any time."
}
]
}
]
}
- "Yes - dependencies only": proceed with the full scan using the instructions below, passing
--dependencies-only(the default for this path — faster; targets the changed manifests). - "Yes - full scan": proceed with the full scan using the instructions below with no
--dependencies-onlyflag (complete scan). - "No": respond with "Security scan skipped. You can run
/security-analysismanually at any time." and exit immediately — do not perform any scanning.
What ships with it
13 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.
- dotnet_security.md 4.9 KB
- go_security.md 13 KB
- java_security.md 15 KB
- nest_security.md 14 KB
- next_security.md 9.6 KB
- node_security.md 11 KB
- php_security.md 15 KB
- python_security.md 14 KB
- react_native_security.md 7.6 KB
- react_security.md 14 KB
- rust_security.md 4.8 KB
- security_reference.md 11 KB
- vue_security.md 4.7 KB
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.
- 6d ago First seen · 385 lines · 61 tokens per session scan A b77357792617
security-analysis is a skill published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 3,859 once invoked, about $0.0003 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 2026-09-04.
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