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 miles990/claude-software-skills --skill analyze-repogit clone --depth 1 https://github.com/miles990/claude-software-skillsWrote 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/miles990/claude-software-skills/analyze-repo)<a href="https://agentmods.dev/skills/miles990/claude-software-skills/analyze-repo"><img src="https://agentmods.dev/badge/skills/miles990/claude-software-skills/analyze-repo/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/miles990/claude-software-skills/analyze-repo"><img src="https://agentmods.dev/badge/skills/miles990/claude-software-skills/analyze-repo.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 | $0.00031 | $0.08107 |
| Opus 5 | $0.00015 | $0.04054 |
| Sonnet 5 | $0.00006 | $0.01621 |
| Haiku 4.5 | $0.00003 | $0.00811 |
Grade A, and why
analyze-repo scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "localhost:3000/api/users/1'%20OR%20'1'='1" How it starts
The opening of the file, as written. The whole thing — 759 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/analyze-repo v3.0
企業級專案深度分析 — 分層視覺化 × 運作原理敘事 × 可執行建議
v3.0 新特性
| 特性 | 說明 |
|---|---|
| 🎯 三層分析架構 | Executive（5分鐘）→ Architecture Story（30分鐘）→ Deep Dive（按需） |
| 🎬 How It Works | 新增「專案如何運作」敘事章節，快速理解核心流程 |
| 📊 視覺優先 | 每層以圖表開頭，文字輔助說明 |
| 🔗 證據鏈 | 所有發現附帶 file:line 程式碼引用 |
| 🛠️ 可執行建議 | 每項建議含：問題程式碼 → 修復範例 → 驗證步驟 |
核心價值
| 輸入 | 輸出 |
|---|---|
| GitHub URL 或本地路徑 | 三層專業分析報告 — 視覺儀表板 + 運作原理敘事 + 可執行建議 |
適用場景：
- 🏢 技術主管/CTO — Layer 1 快速決策 + Layer 2 架構評估
- 👨💻 開發者 — Layer 2 理解運作原理 + Layer 3 上手指南
- 💰 投資人/Due Diligence — Layer 1 風險摘要 + Layer 2 技術深度
- 🔍 Code Review — Layer 3 逐檔案分析 + 可執行修復建議
報告三層架構
┌─────────────────────────────────────────────────────────────────┐
│ 📊 LAYER 1: Executive Dashboard（5-10 分鐘） │
│ ───────────────────────────────────────────────────────────── │
│ 目標：高層快速掌握專案狀態 │
│ • 單頁視覺儀表板（健康雷達圖 + 風險熱力圖） │
│ • 一句話定位 + 30 秒專案摘要 │
│ • 3 個關鍵發現卡片（含即時行動建議） │
│ • 競品定位矩陣 │
├─────────────────────────────────────────────────────────────────┤
│ 🏗️ LAYER 2: Architecture Story（30-60 分鐘） │
│ ───────────────────────────────────────────────────────────── │
│ 目標：理解專案如何運作 │
│ • 🎬「這個專案如何運作」流程敘事（核心創新） │
│ • C4 四層架構圖（Context → Container → Component → Code） │
│ • 資料流序列圖（主要使用場景） │
│ • 技術決策分析（為什麼用 X 而非 Y） │
│ • 8 維度品質評估詳解 │
├─────────────────────────────────────────────────────────────────┤
│ 🔬 LAYER 3: Deep Dive Reference（按需查閱） │
│ ───────────────────────────────────────────────────────────── │
│ 目標：可執行的改進行動 │
│ • 每個發現附帶 file:line 證據鏈 │
│ • 可執行建議：問題碼 → 修復範例 → 驗證步驟 │
│ • 技術債務修復清單（含優先級 + 工時估算） │
│ • 完整檔案結構與關鍵入口點 │
└─────────────────────────────────────────────────────────────────┘
What ships with it
2 files 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.
- 11d ago First seen · 759 lines · 31 tokens per session scan A f14bcf908fd5
analyze-repo is a skill published in the GitHub repository miles990/claude-software-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 8,107 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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