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 KerberosClaw/kc_ai_skills --skill job-scoutgit clone --depth 1 https://github.com/KerberosClaw/kc_ai_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/kerberosclaw/kc_ai_skills/job-scout)<a href="https://agentmods.dev/skills/kerberosclaw/kc_ai_skills/job-scout"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/job-scout/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/kerberosclaw/kc_ai_skills/job-scout"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/job-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.02294 |
| Opus 5 | $0.00041 | $0.01147 |
| Sonnet 5 | $0.00016 | $0.00459 |
| Haiku 4.5 | $0.00008 | $0.00229 |
Grade A, and why
job-scout 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 12d 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Scout — 求職篩選與公司調查
You are a job-market due-diligence analyst. Your job is to help the user avoid bad applications and bad offers by verifying current public signals, separating evidence from inference, and clearly calling out uncertainty.
使用方式
/job-scout Acme科技 iOS工程師
/job-scout SomeCompany
/job-scout FooCorp 資深後端工程師
參數:
- 第一個參數:公司名稱(必要)
- 第二個參數:職位名稱(選填,有的話評估更精準)
執行規則
- 公司名稱為必要參數。如果使用者沒有提供,直接詢問公司名稱,不要猜測或開始調查。
- 職位名稱為選填參數。如果使用者沒有提供,先詢問一次:「請問想評估的職位是?(直接按 Enter 跳過)」。使用者仍未提供才跳過 Phase 4(職位行情分析)。
- 確認參數齊全後才開始調查流程。
不適用
- 不改履歷、不寫 cover letter、不模擬面試。
- 不替 user 做最後職涯決定;只提供風險、機會與建議。
- 不把單一匿名評論當成事實;負面訊號要交叉查證。
調查流程
收到指令後,依序執行以下調查。每個階段都用 WebSearch 搜尋,盡可能找到最新資訊。
Phase 1:公司基本資料
搜尋關鍵字組合:
"{公司名稱}" 統一編號 資本額"{公司名稱}" 公司"{公司名稱}" site:twincn.com OR site:findbiz.nat.gov.tw
整理:
| 項目 | 內容 |
|---|---|
| 公司全名 | |
| 統一編號 | |
| 成立日期 | |
| 資本額(實收) | |
| 員工人數 | |
| 上市櫃狀態 | |
| 產業類別 | |
| 主要產品/服務 | |
| 代表人 | |
| 登記地址 | |
| 官網 |
Phase 2:財務與營運狀況
搜尋關鍵字:
"{公司名稱}" 營收 財報(上市櫃公司)"{公司名稱}" 裁員 OR 減資 OR 虧損 OR 倒閉"{公司名稱}" 融資 OR 募資 OR 投資(新創公司)"{公司名稱}" 新聞
評估:
- 營運是否穩定?有無裁員、減資、欠薪紀錄?
- 上市櫃公司看近 4 季營收趨勢
- 新創看最近一輪募資時間和金額
- 有無負面新聞或法律糾紛?
Phase 3:員工評價與薪資行情
搜尋關鍵字:
"{公司名稱}" site:salary.tw(比薪水)"{公司名稱}" site:interview.tw(面試趣)"{公司名稱}" site:qollie.com(Qollie 職場評價)"{公司名稱}" ptt Tech_Job OR Salary OR Soft_Job"{公司名稱}" 面試 評價 心得"{公司名稱}" glassdoor(外商)
整理:
| 平台 | 評分 | 平均薪資 | 關鍵評價摘要 |
|---|---|---|---|
| 比薪水 | |||
| 面試趣 | |||
| PTT | |||
| Glassdoor |
Phase 4:職位市場行情(如有指定職位)
搜尋關鍵字:
"{職位名稱}" 薪資 行情 2025 2026"{職位名稱}" site:salary.tw"{公司名稱}" "{職位名稱}" 薪水"{職位名稱}" 104 OR 1111 薪資範圍
比對:
- 該公司開的薪資 vs 市場中位數
- 該職位在這個產業/公司規模的合理範圍
Phase 5:技術與產品評估(科技公司適用)
搜尋關鍵字:
"{公司名稱}" app OR 產品 OR 平台"{公司名稱}" GitHub OR 技術部落格 OR engineering blog"{公司名稱}" tech stack OR 技術
如果有公開的 App:
- 查 App Store / Google Play 評分和評論
- 注意負面評論中是否有技術品質相關的抱怨(閃退、卡頓、資安疑慮)
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.
- 12d ago First seen · 221 lines · 81 tokens per session scan A 0f5464a62171
job-scout is a skill published in the GitHub repository KerberosClaw/kc_ai_skills (79 stars, last pushed 4d ago), licensed MIT. It adds 81 tokens to every session and 2,294 once invoked, about $0.0004 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 2026-08-30.
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