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 karaage0703/ai-assistant-workspace --skill xs-github-repo-analyzergit clone --depth 1 https://github.com/karaage0703/ai-assistant-workspaceWrote 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/karaage0703/ai-assistant-workspace/xs-github-repo-analyzer)<a href="https://agentmods.dev/skills/karaage0703/ai-assistant-workspace/xs-github-repo-analyzer"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-github-repo-analyzer/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/karaage0703/ai-assistant-workspace/xs-github-repo-analyzer"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-github-repo-analyzer.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 | $0.00092 | $0.01416 |
| Opus 5.5 | $0.00037 | $0.00566 |
| Sonnet 5.5 | $0.00018 | $0.00283 |
| Haiku 4.5 | $0.00009 | $0.00142 |
Grade A, and why
xs-github-repo-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Repo Analyzer
GitHubリポジトリの内容を詳しく分析し、構造化レポートを生成する。
手順(必ずこの順番で実行)
Step 1: リポジトリ情報の正規化
ユーザー入力から owner/repo を抽出:
https://github.com/owner/repo→owner/repoowner/repo→ そのまま使用
Step 2: 現行HEADとDeepWikiの情報を取得
最初にGitHubでdefault branchと現行HEADを確認する。
is_private="$(gh api repos/<owner>/<repo> --jq '.private')"
default_branch="$(gh api repos/<owner>/<repo> --jq '.default_branch')"
head_sha="$(gh api repos/<owner>/<repo>/commits/"$default_branch" --jq '.sha')"
以後のソース確認はこのSHAを基準にする。is_private=true の場合はDeepWikiの取得を省略する。
2a. Deepwikiで詳細情報を取得(並行実行):
公開リポジトリの場合だけ、利用できるWeb取得ツールで https://deepwiki.com/<owner>/<repo> にアクセス。非公開リポジトリの識別子やコードはDeepWikiへ送らず、GitHubの許可された読み取り経路を使う。
取得する情報: 概要・目的、アーキテクチャ・設計思想、ディレクトリ構造、技術スタック、主要コンポーネント
2b. gh CLIでメタ情報を取得(並行実行):
gh repo view <owner>/<repo> --json name,description,stargazerCount,forkCount,licenseInfo,primaryLanguage,createdAt,updatedAt
Star数・Fork数・ライセンス・作成日などはDeepwikiにないため、常にgh CLIで取得する。
DeepWikiの Last indexed のcommitリンクから索引SHAを取得し、GitHubの現行HEADと比較する。
gh api repos/<owner>/<repo>/compare/<index_sha>..."$head_sha" \
--jq '{status, ahead_by, behind_by, total_commits}'
- SHA一致: 現行版の補助解説として使う。
- HEADが先行: 差分があることを示し、主要な主張を現行コードで確認する。
- SHA不明・比較不能・分岐: 鮮度を検証できないと明記し、現在の仕様をDeepWikiだけで断定しない。
いずれの場合もStep 3で主要な機能・構成を確認する。
Step 3: 現行コードで主要な主張を確認
DeepWikiの取得成否にかかわらず、README・主要コード・設定を確認する。
# リポジトリのメタ情報取得
gh repo view <owner>/<repo>
# READMEを取得
gh api "repos/<owner>/<repo>/readme?ref=$head_sha" --jq '.content' | base64 -d
# ディレクトリ構造を取得(ルート)
gh api "repos/<owner>/<repo>/contents?ref=$head_sha"
# 言語構成を取得
gh api repos/<owner>/<repo>/languages
必要に応じて /tmp にcloneして詳細分析:
repo_tmp="$(mktemp -d)"
gh repo clone <owner>/<repo> "$repo_tmp" -- --depth 1
git -C "$repo_tmp" fetch origin "$head_sha"
git -C "$repo_tmp" checkout --detach "$head_sha"
分析後は今回作成した repo_tmp だけを、環境のゴミ箱など復元可能な方法で片付ける。他の既存checkoutを削除しない。片付け手段がなければ保存場所を報告する。
Step 4: レポート生成
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 Changed · +25 lines · +2 tokens per session scan C → A 116b66bed14e
- 2mo ago First seen · 115 lines · 90 tokens per session scan C 27d3f70828e3
xs-github-repo-analyzer is a skill published in the GitHub repository karaage0703/ai-assistant-workspace (137 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 1,416 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 2026-08-30.
xs-github-repo-analyzer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| xs-github-repo-analyzerkaraage0703/ai-assistant-workspace | Skill | 137 | 1mo ago | MIT | A | 92 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |