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 theashishmaurya/pr-review-agent --skill securitygit clone --depth 1 https://github.com/theashishmaurya/pr-review-agentWrote 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/theashishmaurya/pr-review-agent/security)<a href="https://agentmods.dev/skills/theashishmaurya/pr-review-agent/security"><img src="https://agentmods.dev/badge/skills/theashishmaurya/pr-review-agent/security/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/theashishmaurya/pr-review-agent/security"><img src="https://agentmods.dev/badge/skills/theashishmaurya/pr-review-agent/security.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 | $0.00011 | $0.00387 |
| Opus 5 | $0.00005 | $0.00193 |
| Sonnet 5 | $0.00002 | $0.00077 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
Security Review 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 Review Skill
Focus exclusively on security vulnerabilities and best practices.
Authentication & Authorization
- Authentication checks on all protected routes
- Authorization checks before sensitive operations
- Session management secure
- Password/credential handling secure
Input Validation
- All user input validated and sanitized
- No direct string interpolation in queries
- File uploads validated (type, size, content)
- URL parameters sanitized
Common Vulnerabilities
- SQL Injection: Use parameterized queries
- XSS: Escape output, use CSP headers
- CSRF: Include CSRF tokens
- SSRF: Whitelist allowed URLs
- Path Traversal: Validate file paths
- Command Injection: Avoid shell commands with user input
Data Protection
- Sensitive data encrypted at rest
- HTTPS for data in transit
- No secrets in code or logs
- PII handled per regulations
Dependencies
- No known vulnerable dependencies
- Lock files present and valid
Security Headers
For web applications:
- Content-Security-Policy
- X-Frame-Options
- X-Content-Type-Options
- Strict-Transport-Security
Severity Guide
🚨 Critical: Active vulnerability, immediate fix required ⚠️ Warning: Security concern, should fix soon 💡 Info: Best practice recommendation
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 · 67 lines · 11 tokens per session scan A 88ca63a1db76
Security Review is a skill published in the GitHub repository theashishmaurya/pr-review-agent (2 stars, last pushed 6mo ago), licensed MIT. It adds 11 tokens to every session and 387 once invoked, about $0.0001 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 2026-08-31.
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