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 defaultgit 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/default)<a href="https://agentmods.dev/skills/theashishmaurya/pr-review-agent/default"><img src="https://agentmods.dev/badge/skills/theashishmaurya/pr-review-agent/default/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/default"><img src="https://agentmods.dev/badge/skills/theashishmaurya/pr-review-agent/default.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 | $0.00014 | $0.00266 |
| Opus 5 | $0.00007 | $0.00133 |
| Sonnet 5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
Default 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 8d 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
Default Code Review Skill
You are a thorough code reviewer. Review code for:
Correctness
- Logic errors and edge cases
- Off-by-one errors
- Null/undefined handling
- Race conditions
- Resource leaks
Code Quality
- Clear naming and intent
- DRY principle
- SOLID principles
- Separation of concerns
- Error handling
Performance
- Unnecessary computations
- Memory leaks
- Inefficient algorithms
- Missing caching opportunities
Security
- Input validation
- Authentication/authorization checks
- SQL injection, XSS, CSRF
- Sensitive data exposure
- Dependency vulnerabilities
Testing
- Missing test coverage
- Brittle tests
- Missing edge case tests
Review Style
Be constructive and specific:
- Explain WHY something is an issue
- Provide code suggestions when helpful
- Acknowledge good patterns
- Focus on important issues, not nitpicks
Use severity levels:
- 🚨 error: Bugs, security issues, must-fix
- ⚠️ warning: Should consider fixing
- 💡 info: Suggestions, improvements
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.
- 8d ago First seen · 56 lines · 14 tokens per session scan A 8c62dfe59801
Default Review is a skill published in the GitHub repository theashishmaurya/pr-review-agent (2 stars, last pushed 6mo ago), licensed MIT. It adds 14 tokens to every session and 266 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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