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 chenzhiyong1994/career-os --skill jd-analysisgit clone --depth 1 https://github.com/chenzhiyong1994/career-osWrote 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/chenzhiyong1994/career-os/jd-analysis)<a href="https://agentmods.dev/skills/chenzhiyong1994/career-os/jd-analysis"><img src="https://agentmods.dev/badge/skills/chenzhiyong1994/career-os/jd-analysis/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/chenzhiyong1994/career-os/jd-analysis"><img src="https://agentmods.dev/badge/skills/chenzhiyong1994/career-os/jd-analysis.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 | $0.00056 | $0.00566 |
| Opus 5 | $0.00028 | $0.00283 |
| Sonnet 5 | $0.00011 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
jd-analysis 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 yesterday.
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
JD 岗位分析
输入与职责
把具体岗位描述转成可追溯的 JD scorecard，帮助用户判断是否值得申请，以及哪些已有经历与岗位相关。分析本身不修改简历。
复用目标 JD、来源和已有简历。只有 JD 时可以拆解岗位要求，但个人匹配和简历修改点须等待真实简历依据。查询新岗位或最新招聘状态时转入 job-search；已提供的 JD 正文可以直接分析，注明来源日期与尚未核验的状态。
分析流程
- 记录公司、岗位、地点、级别、工作方式、来源及分析时间。未披露字段保持未知。
- 区分硬性要求、加分项、职责、工具、领域知识和工作条件；将推断信号单列，并提供依据。
- 按业务后果与职责重点判断优先级，不以词频代替招聘权重。指出职责级别混杂、范围模糊等矛盾。
- 逐项映射已有简历中的原句或事实，区分直接匹配、相邻匹配、可迁移能力和缺失证据；方法见 匹配模型。
- 给出值得优先考虑、需要核实或当前不匹配的理由。硬约束冲突单列，不能被其他优点抵消。
- 用户已要求岗位定制时，将明确的 JD 要求和证据映射交给 resume-tailor。证据不足只标缺口。
输出
- 岗位概览、来源与状态核验限制。
- 硬性要求、加分项、职责和成功信号。
- 关键词及同义表达；明确要求与带依据的推断。
- 对照已有简历的匹配矩阵、硬约束冲突和缺失证据。
- 投递优先级建议及需向招聘方核实的问题，不自动联系招聘方。
- 如有定制请求：值得局部调整的简历位置及对应 JD 依据。
匹配结论用于解释选择，不承诺录用或真实 ATS 通过概率。
What ships with it
2 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.
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.
- yesterday Changed · -13 lines · -10 tokens per session 02b7d78dcb1a
- 11d ago First seen · 46 lines · 66 tokens per session scan A f40522138137
jd-analysis is a skill published in the GitHub repository chenzhiyong1994/career-os (3 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 566 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.
Other skills, from other repositories
html-ppt-zhangzara-capsule
A year-end self-review for a product manager — the role, the outcomes, the learning, and the ask, all evidence-backed. Built as a decision-grade career deck for manager, review committee.
html-ppt-zhangzara-neo-grid-bold
A designer's portfolio narrative for a senior interview — three case studies, the craft, and the judgment behind each. Built as a decision-grade career deck for hiring panel.
ai-dev-jobs-mcp
Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP.
huashu-slides
A career-pivot story from consultant to product leader — the arc, the proof, and why the next role is the right bet. Built as a decision-grade career deck for hiring manager, mentors.
html-ppt-xhs-white-editorial
A staff-engineer promotion packet — scope, the proof moments, the artifacts, and the impact that clears the bar. Built as a decision-grade career deck for manager, calibration committee.
Cold Email Writer
Write personalized cold outreach emails to hiring managers and founders - specific, human, not a pitch deck.