jobsmith: 針對台灣求職市場的開源多代理 AI 求職 co-pilot:自動找職缺、履歷健檢、一鍵產生客製投遞包與模擬面試

by kevin333353 · Codex Skill · ★ 141

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install jobsmith

git clone https://github.com/kevin333353/jobsmith.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentai-agentscareer-toolsclaude-codecodex-clidesktop-appfastapijob-matchingjob-searchlanggraph

Quick Facts

Stars141
Forks16
LanguagePython
CategoryCodex Skill
LicenseApache-2.0
Quality Score65/100
Open Issues2
Last Updated2026-07-31
Created2026-06-24
Platformsclaude-code, cli, codex, python
Est. Tokens~15k

About jobsmith

Jobsmith 針對台灣求職市場的開源多代理(multi-agent)AI 求職 co-pilot。 找職缺、履歷健檢、產生客製投遞包(履歷・求職信・面試準備・公司情報)、模擬面試。產生投遞包是背景工作(離開頁面或重新整理都不中斷,還能多個職缺平行跑);看完多 agent 即時編排,再到「我的投遞包」逐一核可。 預設用你本機的 Claude Code / Codex CLI 訂閱當 AI 引擎(免自行申請 API key),也能自備金鑰接任何 OpenAI 相容模型。 English · 下載(Windows / macOS unsigned) · 快速開始 · 系統架構 · 隱私 應用程式介面為繁體中文,貼合台灣求職生態(104 / Cake / Yourator / LinkedIn)。資料以本機保存為主;執行 AI 功能時,履歷與 prompt 會交給你選擇的 CLI 或...

Compatible Skills

These tools work well together with jobsmith for enhanced workflows:

  • Resume-Builder — semantic(0.40)+complementary+shared_fw(openai)+rare_topics+same_lang+similar_pop+shared_platform (85%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools