Borrowing it
Nothing to install: this file belongs to u9401066/med-paper-assistant. 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/u9401066/med-paper-assistant/master/.claude/skills/code-reviewer/SKILL.mdgit clone --depth 1 https://github.com/u9401066/med-paper-assistantWrote 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/u9401066/med-paper-assistant/code-reviewer)<a href="https://agentmods.dev/skills/u9401066/med-paper-assistant/code-reviewer"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/code-reviewer/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/u9401066/med-paper-assistant/code-reviewer"><img src="https://agentmods.dev/badge/skills/u9401066/med-paper-assistant/code-reviewer.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 | $0.00370 |
| Opus 5.5 | $0.00013 | $0.00148 |
| Sonnet 5.5 | $0.00006 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
code-reviewer 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.
What it actually says
程式碼審查技能
觸發：review、審查程式碼、檢查、看一下、有問題嗎、安全
工具：read_file、grep_search、get_errors、run_in_terminal("ruff check .")、run_in_terminal("mypy .")
審查項目
程式碼品質
函數長度（grep_search("def ")）、命名清晰度、DRY 原則（搜尋重複）、複雜度（巢狀/分支）
安全性
| 風險 | grep 模式 |
|---|---|
| SQL 注入 | execute.*%s|f".*SELECT |
| XSS | innerHTML|dangerouslySetInnerHTML |
| 敏感資料 | password|secret|api_key |
| 硬編碼密碼 | password.*=.*['"] |
效能
N+1 查詢（迴圈內 DB 呼叫）、不必要迴圈
工作流
ruff check src/+mypy src/+get_errors()read_file目標檔案grep_search安全風險模式- 彙整報告（優點 / 建議 / 品質+安全+效能評分 0-10）
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 · 39 lines · 32 tokens per session scan A 75dbb1a0a21c
code-reviewer is a skill published in the GitHub repository u9401066/med-paper-assistant (12 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 370 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 2026-08-30.
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spec-audit
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Use when opening a PR for review or when receiving review feedback. Activate for keywords like "code review", "PR review", "request review", "review feedback", "address comments", "reviewer said". Covers both ends of the loop: preparing a reviewable PR and acting on feedback rigorously. Always engage with every…
example-skill
Performs thorough code reviews following best practices. Use when reviewing pull requests, checking code quality, or ensuring coding standards compliance.