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 u9401066/template-is-all-you-need --skill code-reviewergit clone --depth 1 https://github.com/u9401066/template-is-all-you-needWrote 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/template-is-all-you-need/code-reviewer)<a href="https://agentmods.dev/skills/u9401066/template-is-all-you-need/code-reviewer"><img src="https://agentmods.dev/badge/skills/u9401066/template-is-all-you-need/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/template-is-all-you-need/code-reviewer"><img src="https://agentmods.dev/badge/skills/u9401066/template-is-all-you-need/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 | $0.00089 | $0.01710 |
| Opus 5.5 | $0.00036 | $0.00684 |
| Sonnet 5.5 | $0.00018 | $0.00342 |
| Haiku 4.5 | $0.00009 | $0.00171 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- code-reviewer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
程式碼審查技能
描述
對程式碼進行全面審查，檢查品質、安全性、效能和最佳實踐。
觸發條件
- 「review 這段程式碼」「CR」「審查」
- 「檢查程式碼」「看一下」「幫看」
- 「code review」「PR review」
🔧 操作步驟
Step 1: 確定審查範圍
詢問或推斷審查目標：
- 特定檔案：
read_file("path/to/file.py") - 整個目錄：
grep_search取得概覽 - 特定功能：
semantic_search("功能名稱") - 最近變更：
get_changed_files()
Step 2: 執行靜態分析（Python 專案）
# Ruff - 快速 linter (取代 flake8 + isort + pyupgrade)
uv run ruff check src/ --output-format=concise
# Mypy - 型別檢查
uv run mypy src/ --ignore-missing-imports
# Bandit - 安全性檢查
uv run bandit -r src/ -ll
# Vulture - 死碼偵測
uv run vulture src/ --min-confidence 80
Step 3: 審查程式碼品質
| 檢查項目 | 標準 | 工具輔助 |
|---|---|---|
| 命名清晰度 | 名稱應描述用途 | 人工審查 |
| 函數長度 | < 50 行 | grep_search |
| 類別大小 | < 300 行 | grep_search |
| 複雜度 | McCabe < 10 | ruff --select=C901 |
| DRY 原則 | 無重複程式碼 | semantic_search |
| SOLID 原則 | 單一職責等 | 人工審查 |
Step 4: 審查安全性
| 風險類型 | 檢查方式 | 嚴重程度 |
|---|---|---|
| SQL 注入 | 搜尋 raw SQL | 🔴 Critical |
| XSS | 搜尋未轉義輸出 | 🔴 Critical |
| 硬編碼密碼 | grep "password|secret|key" | 🔴 Critical |
| 路徑遍歷 | 搜尋未驗證路徑 | 🟠 High |
| 日誌洩漏 | 搜尋敏感資料輸出 | 🟡 Medium |
Step 5: 審查效能
| 問題類型 | 偵測方式 |
|---|---|
| N+1 查詢 | 搜尋迴圈內的 DB 呼叫 |
| 無謂迴圈 | 審查巢狀迴圈 |
| 記憶體洩漏 | 檢查資源釋放 |
| 阻塞操作 | 審查 I/O 操作 |
Step 6: 審查 DDD 架構
參考 ddd-architect 規則：
- Domain 層是否有外部依賴？
- Repository Interface 是否在 Domain 層？
- Application 層是否過度膨脹？
Step 7: 產生審查報告
📊 審查報告格式
# 程式碼審查報告
📁 審查範圍：`src/domain/`, `src/application/`
📅 日期：2026-01-15
👤 審查者：AI Assistant
---
## 📈 總覽
| 指標 | 分數 | 說明 |
| ---- | ---- | ---- |
| 品質 | 8/10 | 命名清晰，部分函數過長 |
| 安全 | 9/10 | 無明顯漏洞 |
| 效能 | 7/10 | 存在 N+1 查詢風險 |
| 架構 | 8/10 | 符合 DDD，但有小違規 |
---
## ✅ 優點
1. **清晰的領域模型**：User entity 封裝良好
2. **完整的錯誤處理**：使用自定義例外
3. **良好的測試覆蓋**：核心邏輯有單元測試
---
## ⚠️ 問題發現
### 🔴 Critical (必須修復)
#### 1. SQL 注入風險
- **位置**：[user_repository.py](src/infrastructure/repositories/user_repository.py#L45)
- **問題**：使用字串拼接建立 SQL
- **建議**：使用參數化查詢
```python
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 · 195 lines · 0 tokens per session scan A c828461b4e15
code-reviewer is a skill published in the GitHub repository u9401066/template-is-all-you-need (3 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 89 tokens to every session and 1,710 once invoked, about $0.0004 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.
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ledger-report
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Code Review Checklist
Runs a systematic checklist review on any code diff or file, covering correctness, security, performance, and readability.