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 blessonism/github-explorer-skill --skill github-explorer-skillgit clone --depth 1 https://github.com/blessonism/github-explorer-skillWrote 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/blessonism/github-explorer-skill/github-explorer-skill)<a href="https://agentmods.dev/skills/blessonism/github-explorer-skill/github-explorer-skill"><img src="https://agentmods.dev/badge/skills/blessonism/github-explorer-skill/github-explorer-skill/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/blessonism/github-explorer-skill/github-explorer-skill"><img src="https://agentmods.dev/badge/skills/blessonism/github-explorer-skill/github-explorer-skill.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 | $0.00083 | $0.03086 |
| Opus 5.5 | $0.00033 | $0.01234 |
| Sonnet 5.5 | $0.00017 | $0.00617 |
| Haiku 4.5 | $0.00008 | $0.00309 |
Grade A, and why
github-explorer 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- README: `curl -s -H "Authorization: token {PAT}" -H "Accept: application/vnd.github.v3.raw" "https://api.github.com/repos/{owner}/{repo}/readme"` Copies of this mod
1 near-identical copy found in the catalogue:
- github-explorer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Explorer — 项目深度分析
Philosophy: README 只是门面,真正的价值藏在 Issues、Commits 和社区讨论里。
Workflow
[项目名] → [1. 定位 Repo] → [2. 多源采集] → [3. 分析研判] → [4. 结构化输出]
Phase 1: 定位 Repo
- 用
web_search搜索site:github.com <project_name>确认完整 org/repo - 用
search-layer(Deep 模式 + 意图感知)补充获取社区链接和非 GitHub 资源:python3 skills/search-layer/scripts/search.py \ --queries "<project_name> review" "<project_name> 评测 使用体验" \ --mode deep --intent exploratory --num 5 - 用
web_fetch抓取 repo 主页获取基础信息(README、Stars、Forks、License、最近更新)
Phase 2: 多源采集(并行)
⚠️ GitHub 页面抓取规则(强制):GitHub repo 页面是 SPA(客户端渲染),web_fetch 只能拿到导航栏壳子,禁止用 web_fetch 抓 github.com 的 repo 页面。一律使用 GitHub API:
- README:
curl -s -H "Authorization: token {PAT}" -H "Accept: application/vnd.github.v3.raw" "https://api.github.com/repos/{owner}/{repo}/readme" - Repo 元数据:
curl -s -H "Authorization: token {PAT}" "https://api.github.com/repos/{owner}/{repo}" - Issues:
curl -s -H "Authorization: token {PAT}" "https://api.github.com/repos/{owner}/{repo}/issues?state=all&sort=comments&per_page=10" - Commits:
curl -s -H "Authorization: token {PAT}" "https://api.github.com/repos/{owner}/{repo}/commits?per_page=10" - File tree:
curl -s -H "Authorization: token {PAT}" "https://api.github.com/repos/{owner}/{repo}/git/trees/{branch}?recursive=1"
PAT 见 TOOLS.md。
以下来源按需检查,有则采集,无则跳过:
| 来源 | URL 模式 | 采集内容 | 建议工具 |
|---|---|---|---|
| GitHub Repo | github.com/{org}/{repo} |
README、About、Contributors | web_fetch |
| GitHub Issues | github.com/{org}/{repo}/issues?q=sort:comments |
Top 3-5 高质量 Issue | browser |
| 中文社区 | 微信/知乎/小红书 | 深度评测、使用经验 | content-extract |
| 技术博客 | Medium/Dev.to | 技术架构分析 | web_fetch / content-extract |
| 讨论区 | V2EX/Reddit | 用户反馈、槽点 | search-layer(Deep 模式) |
search-layer 调用规范
search-layer v2 支持意图感知评分。github-explorer 场景下的推荐用法:
| 场景 | 命令 | 说明 |
|---|---|---|
| 项目调研(默认) | python3 skills/search-layer/scripts/search.py --queries "<project> review" "<project> 评测" --mode deep --intent exploratory --num 5 |
多查询并行,按权威性排序 |
| 最新动态 | python3 skills/search-layer/scripts/search.py "<project> latest release" --mode deep --intent status --freshness pw --num 5 |
优先新鲜度,过滤一周内 |
| 竞品对比 | python3 skills/search-layer/scripts/search.py --queries "<project> vs <competitor>" "<project> alternatives" --mode deep --intent comparison --num 5 |
对比意图,关键词+权威双权重 |
| 快速查链接 | python3 skills/search-layer/scripts/search.py "<project> official docs" --mode fast --intent resource --num 3 |
精确匹配,最快 |
| 社区讨论 | python3 skills/search-layer/scripts/search.py "<project> discussion experience" --mode deep --intent exploratory --domain-boost reddit.com,news.ycombinator.com --num 5 |
加权社区站点 |
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 · 221 lines · 83 tokens per session scan A 8092c32d94a0
github-explorer is a skill published in the GitHub repository blessonism/github-explorer-skill (79 stars, last pushed 8mo ago), licensed MIT. It adds 83 tokens to every session and 3,086 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
adversarial-review
A multi-stage code review process in which one reviewer looks for failures, another independently checks the findings and the changed code, and a final reviewer decides which findings stand. It requires evidence such as code locations or test results and states that the reviewers may still share the same model's blind spots.
meeting-note-summarizer
Turn meeting notes or transcripts into factual summaries, decisions, questions, and action items. Use when a user wants a concise recap or needs explicit owners and deadlines extracted without filling in missing details.
ledger-tasks-yylo
Comprehensive guide for using YYLO Ledger task management without bypassing controller routing, lifecycle state, or mutation receipts. Covers task commands, dependency management, best practices, and workflow patterns. Use when you need to interact with the YYLO Ledger board.
orca-replay
Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.
daily-standup-journal
Generate concise daily standups, reflection prompts, and weekly retrospectives for individuals or teams. Use for planning a day, surfacing blockers, reviewing user-provided entries, or drafting a check-in without assuming prior history.
decision-matrix
Compare options with weighted scoring, pros and cons, pre-mortems, opportunity costs, and ICE prioritization. Use when a user wants to reason through a choice, expose assumptions, or rank alternatives.