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 agentmods add skills/anneheartrecord/charles-skill/github-recruiternpx skills add anneheartrecord/charles-skill --skill github-recruitergit clone --depth 1 https://github.com/anneheartrecord/charles-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/anneheartrecord/charles-skill/github-recruiter)<a href="https://agentmods.dev/skills/anneheartrecord/charles-skill/github-recruiter"><img src="https://agentmods.dev/badge/skills/anneheartrecord/charles-skill/github-recruiter.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.00410 |
| Opus 5 | $0.00032 | $0.00205 |
| Sonnet 5 | $0.00013 | $0.00082 |
| Haiku 4.5 | $0.00006 | $0.00041 |
Grade A, and why
github-recruiter 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 4d 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
GitHub Recruiter
从 GitHub 仓库发现活跃开发者，采集公开联系方式并按模板发招聘邮件的 CLI 工具。
何时用
用户要按技术关键词找开发者、采集贡献者邮箱、批量发招聘或建联邮件。
安装与配置
pip install -e . # 在本 skill 目录内
cp config.example.yaml config.yaml
编辑 config.yaml：GitHub Personal Access Token（需 public_repo scope）、SMTP 邮箱（Gmail 用应用专用密码）。
常用命令
- 搜索并采集：
github-recruiter search "agent" --language python --min-stars 500 - 查看候选人：
github-recruiter list [--status pending|sent] - 发邮件：
github-recruiter send --dry-run --limit 5（预览）/--limit 10（实发） - 一键执行：
github-recruiter run "agent" --language python --dry-run - 统计：
github-recruiter stats
邮箱采集优先级：公开 email 字段 → commit author email → bio/blog 正则匹配；自动跳过 [email protected]。
注意
未认证 GitHub API 限速 60 次/小时，认证后 5000 次/小时；内置退避重试 + 发信频率控制。只使用公开信息。邮件模板在 templates/default.txt，首行须为 Subject: 标题。
What ships with it
15 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.
- config.example.yaml 779 B
- github_recruiter/__init__.py 96 B runs code
- github_recruiter/cli.py 9.0 KB runs code
- github_recruiter/config.py 1.1 KB runs code
- github_recruiter/db.py 4.0 KB runs code
- github_recruiter/email_finder.py 2.7 KB runs code
- github_recruiter/github_api.py 7.1 KB runs code
- github_recruiter/mailer.py 4.4 KB runs code
- README_EN.md 2.7 KB
- README.md 6.2 KB
- requirements.txt 49 B
- setup.py 409 B runs code
- templates/default.txt 457 B
- test_all.py 17 KB runs code
- TEST_REPORT.md 4.2 KB
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.
- 4d ago First seen · 36 lines · 63 tokens per session scan A 7aa112fba5ad
github-recruiter is a skill published in the GitHub repository anneheartrecord/charles-skill (3 stars, last pushed 26d ago), licensed MIT. It adds 63 tokens to every session and 410 once invoked, about $0.0003 per session on Opus 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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