Borrowing it
Nothing to install: this file belongs to yu-iskw/llmops-demo-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yu-iskw/llmops-demo-ts/main/.claude/skills/security-audit/SKILL.mdgit clone --depth 1 https://github.com/yu-iskw/llmops-demo-tsWrote 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/yu-iskw/llmops-demo-ts/security-audit)<a href="https://agentmods.dev/skills/yu-iskw/llmops-demo-ts/security-audit"><img src="https://agentmods.dev/badge/skills/yu-iskw/llmops-demo-ts/security-audit/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/yu-iskw/llmops-demo-ts/security-audit"><img src="https://agentmods.dev/badge/skills/yu-iskw/llmops-demo-ts/security-audit.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 | $0.00032 | $0.00333 |
| Opus 5 | $0.00016 | $0.00167 |
| Sonnet 5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
security-audit 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 5d 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 Audit
Perform a security audit with the following scope:
$ARGUMENTS
Audit Methodology
1. Dependency Security
pnpm audit
Review all known vulnerabilities in dependencies.
2. Source Code Analysis
Scan for common vulnerability patterns:
- Hardcoded secrets (API keys, passwords, tokens)
- Command injection via string interpolation in Bash/exec calls
- XSS vectors in Vue.js templates (v-html usage)
- Prompt injection in AI agent inputs
- Insecure deserialization
- Information disclosure in error messages
3. AI Agent Security
Review the secure_agent pattern and verify:
- Input sanitization is applied before LLM processing
- Output sanitization prevents data leakage
- Tool calls are validated and scoped
- Prompt injection defenses are in place
4. Configuration Security
- No secrets in version control
- Proper .gitignore coverage
- CORS configuration
- Environment variable handling
Output
Produce a security report with findings classified by severity:
- 🔴 Critical / 🟠 High / 🟡 Medium / 🔵 Low
Each finding includes: location, vulnerability, impact, and remediation steps.
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.
- 5d ago First seen · 60 lines · 32 tokens per session scan A aa1c768a8551
security-audit is a skill published in the GitHub repository yu-iskw/llmops-demo-ts (6 stars, last pushed 8d ago), licensed Apache-2.0. It adds 32 tokens to every session and 333 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 2026-09-04.
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