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 resume-tailorgit 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/resume-tailor)<a href="https://agentmods.dev/skills/chenzhiyong1994/career-os/resume-tailor"><img src="https://agentmods.dev/badge/skills/chenzhiyong1994/career-os/resume-tailor/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/resume-tailor"><img src="https://agentmods.dev/badge/skills/chenzhiyong1994/career-os/resume-tailor.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 | $0.00062 | $0.00602 |
| Opus 5 | $0.00031 | $0.00301 |
| Sonnet 5 | $0.00012 | $0.00120 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
resume-tailor 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 2d 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
岗位定制简历微调
输入与边界
必须有用户已有简历，以及一个明确的目标 JD 或包含岗位要求的 JD scorecard。职位名称本身不足以支持定制。复用会话和文件中的已有输入；缺少任一项时指出缺失信息，不先生成通用简历。
以原始简历及用户明确补充的事实为基线，只修改与这个岗位有关的内容。用户只要求找岗位或分析匹配时，不自动执行微调。
工作流
- 标记简历基线和目标岗位的来源或版本，保留原文。缺少要求分析时使用 jd-analysis，已有有效评分卡则直接复用。
- 把目标要求映射到简历原句和事实；按 证据模型 区分证据强度。
- 选择能影响岗位相关性的最小修改：调整摘要重点、澄清经历表述、使用真实的同义关键词，或重排已有内容。
- 返回原句、替换文本、对应 JD 要求及事实依据。没有修改价值的内容保持原样；没有证据的要求列为缺口，不补写成经历。
- 用户要求落盘时，在已有简历基础上保存可审查的文本修改或岗位文本副本，并明确关联基线。保留原始文件，不执行排版、模板制作或 HTML/PDF 等成品导出。
推荐输出
- 简历基线与目标岗位。
- 局部修改表：位置、原文、修改后、JD 依据、事实依据。
- 顺序调整建议及原因（确有必要时）。
- 待确认的表述、缺失证据和保留原样的关键事实。
微调规则
- 不编造指标、雇主、title、日期、证书、工具或结果。
- 不把参与提升为主导，不把实习改成正式工作，不把相邻经验写成直接经验。
- 关键词必须有真实经历支撑，不为覆盖 JD 而堆词。
- 保留用户表达风格；不做脱离岗位的全文重写、事实扩写或通用润色。
- 不把待确认信息混入可直接使用的修改文本；缺失数字可以保留为问题，不编造填充。
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.
- 2d ago Changed · -11 lines · -5 tokens per session d2904190b11a
- 12d ago First seen · 47 lines · 67 tokens per session scan A fa080ece94e2
resume-tailor is a skill published in the GitHub repository chenzhiyong1994/career-os (3 stars, last pushed 3d ago), licensed MIT. It adds 62 tokens to every session and 602 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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