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 qte77/claude-code-plugins --skill reviewing-codegit clone --depth 1 https://github.com/qte77/claude-code-pluginsWrote 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/qte77/claude-code-plugins/reviewing-code)<a href="https://agentmods.dev/skills/qte77/claude-code-plugins/reviewing-code"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/reviewing-code/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/qte77/claude-code-plugins/reviewing-code"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/reviewing-code.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 | $0.00033 | $0.00610 |
| Opus 5.5 | $0.00013 | $0.00244 |
| Sonnet 5.5 | $0.00007 | $0.00122 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
reviewing-code 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 1mo 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Context
- Changed files: !
git diff --name-only HEAD~1 2>/dev/null || echo "No recent commits" - Staged files: !
git diff --staged --name-only
Code Review
Scope: $ARGUMENTS
Delivers focused, streamlined code reviews matching stated task requirements exactly. No over-analysis.
Python Standards
See references/python-best-practices.md for comprehensive Python guidelines.
Workflow
- Read task requirements to understand expected scope
- Check
make validatepasses before detailed review - Match review depth to task complexity (simple vs complex)
- Validate requirements - does implementation match task scope exactly?
- Issue focused feedback with specific file paths and line numbers
Review Strategy
Simple Tasks (100-200 lines): Security, compliance, requirements match, basic quality
Complex Tasks (500+ lines): Above plus architecture, performance, comprehensive testing
Always: Use existing project patterns, immediate use after implementation
Review Checklist
Security & Compliance:
- No security vulnerabilities (injection, XSS, etc.)
- Follows @AGENTS.md mandatory requirements
- Passes
make validate
Requirements Match:
- Implements exactly what was requested
- No over-engineering or scope creep
- Appropriate complexity level
Code Quality:
- Follows project patterns in
src/ - Proper type hints and docstrings
- Tests cover stated functionality
Structural Health:
- No function exceeds cognitive complexity threshold (suggested default: 15 per function, overridable per-project)
- No copy-paste duplication across methods (watch for repeated dispatch chains)
- File aggregate complexity — flag if trending above project norms (suggested default: 50 per file, overridable per-project)
Output Standards
Simple Tasks: CRITICAL issues only, clear approval when requirements met Complex Tasks: CRITICAL/WARNINGS/SUGGESTIONS with specific fixes All reviews: Concise, streamlined, no unnecessary complexity analysis
What ships with it
1 file 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.
- 1mo ago First seen · 78 lines · 33 tokens per session scan A 51d3924402b7
reviewing-code is a skill published in the GitHub repository qte77/claude-code-plugins (3 stars, last pushed yesterday), licensed Apache-2.0. It adds 33 tokens to every session and 610 once invoked, about $0.0001 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 2026-09-03.
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