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 anneheartrecord/charles-skill --skill offer-radargit 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/offer-radar)<a href="https://agentmods.dev/skills/anneheartrecord/charles-skill/offer-radar"><img src="https://agentmods.dev/badge/skills/anneheartrecord/charles-skill/offer-radar/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/anneheartrecord/charles-skill/offer-radar"><img src="https://agentmods.dev/badge/skills/anneheartrecord/charles-skill/offer-radar.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 | $0.00069 | $0.00411 |
| Opus 5 | $0.00034 | $0.00205 |
| Sonnet 5 | $0.00014 | $0.00082 |
| Haiku 4.5 | $0.00007 | $0.00041 |
Grade A, and why
offer-radar 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 9d 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
offer-radar
收到招聘邮件后，快速背调公司/人物的 CLI 工具。贴入邮件，自动提取公司名和人名，多渠道并行搜索，生成结构化 Markdown 报告。
何时用
用户拿到一封招聘或合作邮件，想知道对面公司靠不靠谱、创始人背景、薪资职级、社区口碑、有无法律纠纷，再决定要不要花时间聊。
安装与配置
python3 -m venv .venv && source .venv/bin/activate
pip install -e .
export XCRAWL_API_KEY=your_key # XCrawl Search API，免费注册送 1000 credits（约够 70 次调查）
常用命令
- 贴邮件分析：
offer-radar analyze --text "<邮件正文>" - 从文件读：
offer-radar analyze --file email.txt - 直接查公司：
offer-radar check --company "滴滴出行" - 公司 + 人一起查：
offer-radar check --company "某公司" --person "某人" - 省 credits（只提取不搜）：
offer-radar analyze --text "..." --no-search
输出
一份 Markdown 报告：邮件摘要 + 公司调查（综合信息、天眼查工商融资、脉脉职级薪资、知乎口碑、V2EX 讨论、GitHub 技术实力）+ 综合评估。每个渠道给 5 条带链接的结果。
What ships with it
12 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 344 B
- offer_radar/__init__.py 86 B runs code
- offer_radar/cli.py 5.5 KB runs code
- offer_radar/config.py 1.4 KB runs code
- offer_radar/extractor.py 8.0 KB runs code
- offer_radar/reporter.py 6.1 KB runs code
- offer_radar/searcher.py 5.0 KB runs code
- README_EN.md 4.7 KB
- README.md 4.3 KB
- requirements.txt 38 B
- setup.py 467 B runs code
- templates/report.md 1.1 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.
- 9d ago First seen · 33 lines · 69 tokens per session scan A 4e7018e244b0
offer-radar is a skill published in the GitHub repository anneheartrecord/charles-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 411 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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