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 d-o-hub/github-template-ai-agents --skill security-code-auditorgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/security-code-auditor)<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/security-code-auditor"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/security-code-auditor/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/d-o-hub/github-template-ai-agents/security-code-auditor"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/security-code-auditor.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 | $0.00141 | $0.01729 |
| Opus 5.5 | $0.00056 | $0.00692 |
| Sonnet 5.5 | $0.00028 | $0.00346 |
| Haiku 4.5 | $0.00014 | $0.00173 |
Grade A, and why
security-code-auditor 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 4d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Code Auditor
Perform security audits on code, configurations, and repositories to identify vulnerabilities and security issues.
When to Use
- User asks to audit, review, or check security of code
- Need to perform vulnerability scans or OWASP Top 10 checks
- Even if they just say "check for security issues" or "is this secure"
Scope
- Includes: Source code review, dependency scanning, configuration auditing, OWASP Top 10 checks
- Excludes: Network penetration testing, active exploitation, social engineering
Audit Workflow
1. Initial Assessment
- Identify the technology stack and frameworks
- Determine the application's attack surface
- Review authentication and authorization mechanisms
2. Static Analysis
- Check for injection vulnerabilities (SQL, NoSQL, OS command, LDAP)
- Identify insecure deserialization
- Review cryptographic implementations
- Validate input sanitization
3. Configuration Review
- Review security headers (CSP, HSTS, X-Frame-Options)
- Check CORS policies
- Validate session management settings
- Examine environment variable handling
4. Dependency Scanning
- Check for known CVEs in dependencies
- Review outdated packages
- Validate license compliance
Common Vulnerability Patterns
Injection Flaws
# BAD: Direct string concatenation
query = "SELECT * FROM users WHERE id = " + user_id
# GOOD: Parameterized queries
cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
Secrets Management
- Never hardcode credentials in source code
- Use environment variables or secure vaults
- Rotate keys regularly
- Use placeholders like
[REDACTED]orexample-tokenin examples
Authentication Issues
- Enforce strong password policies
- Implement multi-factor authentication
- Use secure session tokens with proper expiration
- Validate all authenticated endpoints
SSRF and Outbound URL Validation
One address has many legal spellings, so an IP blocklist fails open by construction.
127.0.0.1 is also 2130706433, 017700000001, 0x7f000001, 0177.0.0.1,
::ffff:127.0.0.1, 127.1, a hostname with a private A record, or a redirect target.
What ships with it
5 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.
- 4d ago Changed · +43 lines 0a11bee801b9
- 25d ago Changed · +10 tokens per session fc08e27b7632
- 1mo ago First seen · 123 lines · 131 tokens per session scan A 1374acd3190a
security-code-auditor is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 141 tokens to every session and 1,729 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
tuicr
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Review an open GitHub pull request or the current local branch and working tree with parallel, independent reviewers and evidence-based validation. Use when the user asks for code review, invokes the Code Review action from Git Review, or explicitly mentions this skill.
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omh-ai-slop-cleaner
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omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
omh-refactor-plan
This is an OMH refactor-plan workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).