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 Chasen-Liao/resume-skills --skill jd-tailorergit clone --depth 1 https://github.com/Chasen-Liao/resume-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/chasen-liao/resume-skills/jd-tailorer)<a href="https://agentmods.dev/skills/chasen-liao/resume-skills/jd-tailorer"><img src="https://agentmods.dev/badge/skills/chasen-liao/resume-skills/jd-tailorer/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/chasen-liao/resume-skills/jd-tailorer"><img src="https://agentmods.dev/badge/skills/chasen-liao/resume-skills/jd-tailorer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 72 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 84 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00098 | $0.02395 |
| Opus 5 | $0.00049 | $0.01197 |
| Sonnet 5 | $0.00020 | $0.00479 |
| Haiku 4.5 | $0.00010 | $0.00239 |
Grade A, and why
jd-tailorer 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 3d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JD 简历定制器 (JD Tailorer)
根据职位描述定制简历——关键词对齐 + 内容重排序 + 术语对齐。不编造经历。
前置条件
需已有基础简历和已确认事实。优先读取私有 resume-facts.yaml；若只有旧简历内容或 HTML，先通过 resume-builder 或 resume-workflow 提取、确认并建立事实文件，不能把未确认的解析内容直接用于定制。
协作入口
优先接收 job-description-analyzer 基于 resume-facts.yaml 生成的要求地图与匹配证据；若没有，先在本 skill 内完成同等分析。生成前必须向用户展示变更预览：哪些已确认经历会前置、哪些措辞会对齐 JD、哪些要求仍是缺口；用户确认后才生成定制版。
生成后可调用 resume-ats-optimizer 作为质量关卡，并将确认的版本交给 resume-version-manager 记录；两者都不得静默改写或覆盖定制版。
参考文件解析
- 所有相对路径都以本
SKILL.md所在目录为基准，不以当前工作目录为基准。 - 开始 JD 分析、匹配或改写前，必须先读取并遵循
../resume-builder/references/resume-contract.md和../resume-builder/references/content-writing.md；两份共享参考文档优先于本入口中的示例、版式偏好和流程提示。 - 若
resume-builder与本 skill 一起安装，再读取../resume-builder/references/design-guidelines.md和对应的 CSS 文件。 - 本 skill 必须与
resume-builder一起安装；缺少共享参考文件时，要求用户安装完整 skill 集后再继续，不猜测契约规则，也不承诺 DOCX 生成。
工作流程
第一步：获取 JD
让用户粘贴 JD 文本或上传文件。
第二步：JD 分析
提取：核心技术要求、加分项、关键词（技术栈/行业术语/软技能）、岗位职责、公司文化暗示。简要呈现分析结果确认。
第三步：匹配分析
对比简历与 JD：
- 匹配点：已有的强相关经验/技能
- 缺失点：JD 要求但不具备的（如实告知，不编造）
- 弱化点：有关联度低的内容（保留但降优先级）
第四步：内容定制
遵循已先读取的事实契约和写作规范（../resume-builder/references/resume-contract.md、../resume-builder/references/content-writing.md）。每条改写前先核对 claim 的来源、证据、置信度和指标状态；待确认字段只写入采集/分析报告，不能进入最终简历成稿。
改写检查清单（每次改写必须逐条核对）：
- 清晰表达：优先用清楚的行动、技术、结果或证据、背景/范围组织 bullet；没有数字时使用已确认的非数字证据，不补写指标。
- 关键词优化：术语对齐 JD → 自然融入描述和技能标签；关键词用于排序与表达，不设覆盖率硬指标，不进行 keyword stuffing。
- 板块重排：按 JD 相关性调整板块顺序；项目和校园经历是否前置由候选人阶段、证据强度和岗位相关性决定。
- 内容微调：只重排、压缩和对齐已有 claim；自我评价从已验证事实归纳，不设固定字数或句数。
- 区分度说明：定制完成后向用户说明改动点
第五步：生成定制文件
先让用户在视觉 HTML/PDF 与 ATS-safe HTML/PDF 中选择模式，再输出到 tailored/<公司名>-<岗位>/：
- 视觉模式：
resume_visual.html与resume_visual.pdf，沿用基础简历 CSS 风格并进行视觉打印验证 - ATS-safe 模式：
resume_ats.html与resume_ats.pdf，使用单栏和标准文本结构并进行 ATS-safe 解析验证 matching-analysis.md— 匹配分析报告（模板见references/matching-analysis.md）matching-analysis.md可包含匹配缺口、关键词来源和待确认字段；待确认字段不得复制到上述最终 HTML/PDF。- 仓库当前只生成 HTML 与浏览器打印 PDF，没有 DOCX 生成能力，不承诺 DOCX 产物。
- 若沿用任一内置视觉样式，保留或生成对应的
data-resume-editor-template、data-resume-editor-version="1"和稳定、唯一、语义化的data-resume-editor-id文字标记；不要依赖 Canvas 运行时补齐标记。 - 编辑 ID 只能标在姓名、职位、日期、板块标题、单条 bullet、单个技能标签等独立文本字段上；禁止把编辑 ID 放在
<html>、<body>、<main>、.page、.resume、header、footer、section、ul、ol、figure或包含多个字段的复合容器上。不要给整份定制简历添加一个兜底 ID。
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.
- 3d ago Changed 4c9effcc8140
- 12d ago First seen · 108 lines · 98 tokens per session scan A 41a0736e4443
jd-tailorer is a skill published in the GitHub repository Chasen-Liao/resume-skills (28 stars, last pushed 4d ago), licensed MIT. It adds 98 tokens to every session and 2,395 once invoked, about $0.0005 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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