job-description-analyzer

job-description-analyzer is a skill for Claude Code, Codex from Chasen-Liao/resume-skills. It costs 80 tokens per session (660 once invoked), scanned A, original, MIT.

A job-description analysis tool that compares a vacancy's requirements with a candidate's confirmed experience and skills. It separates required qualifications, preferred traits, responsibilities, and context, while keeping the job description separate from candidate facts.

In plain words
What is it for?
Use it to map a job description, extract keywords and requirements, assess explainable fit, identify missing evidence, and set priorities for tailoring a résumé.
Why use it?
It shows where a candidate matches, where evidence is related, and where genuine gaps or unanswered questions remain without treating the vacancy's wording as proof of experience.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the resume-skills plugin — 14 skills shipped together

Good fit Use it to map a job description, extract keywords and requirements, assess explainable fit, identify missing evidence, and set priorities for tailoring a résumé.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chasen-liao/resume-skills/job-description-analyzer
Install

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.

Any agent
npx skills add Chasen-Liao/resume-skills --skill job-description-analyzer
Clone the repo
git clone --depth 1 https://github.com/Chasen-Liao/resume-skills

Made for: Claude Code, Codex.

Or install resume-skills, the plugin that ships this one along with the rest of its 14 skills.

Wrote 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.

agentmods badge for job-description-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/chasen-liao/resume-skills/job-description-analyzer/github.svg)](https://agentmods.dev/skills/chasen-liao/resume-skills/job-description-analyzer)
Your own site
<a href="https://agentmods.dev/skills/chasen-liao/resume-skills/job-description-analyzer"><img src="https://agentmods.dev/badge/skills/chasen-liao/resume-skills/job-description-analyzer/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.

agentmods 80×15 button for job-description-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/chasen-liao/resume-skills/job-description-analyzer"><img src="https://agentmods.dev/badge/skills/chasen-liao/resume-skills/job-description-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 660 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.00660
Opus 5 $0.00040 $0.00330
Sonnet 5 $0.00016 $0.00132
Haiku 4.5 $0.00008 $0.00066

Measured 12d ago against content hash 06a4cf09429f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

job-description-analyzer 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.

skills/job-description-analyzer/SKILL.md · 48 lines

What it actually says

JD 分析器

在定制简历前,把 JD 转为可追溯的岗位要求与候选人事实之间的比较。

先读

读取 简历事实契约JD 匹配报告模板。后续定制交给 jd-tailorer

协作入口

这是 JD 定制前的分析关卡:有母版或已确认 claim 时,先输出要求地图、匹配证据、真实缺口和定制优先级,再进入 jd-tailorer。用户也可以只分析 JD,而不生成简历。

jd-tailorer 未收到当前 JD 的分析结果,应在定制前完成同等分析;不要要求用户在两个 skill 之间重复粘贴或确认相同信息。分析只提出建议,不直接改写或生成最终简历。

工作流

  1. 提取职位、公司、职责、必需条件、加分项、技术/行业术语和工作方式信号;每项保留 JD 原句或段落作为来源。
  2. 将要求分为 must_havepreferredresponsibilitycontext;不因出现频次自动判断为硬门槛。
  3. 对照候选人已确认的 claim:标为“直接匹配”“相关证据”“缺口”或“待确认”。
  4. 仅对可解释的必需项覆盖情况给出匹配度;说明分母、权重和未纳入评分的信息。分数是排序辅助,不是录用预测。
  5. 给出是否值得定制、应前置的真实经历、需要向候选人确认的信息和不应硬加的关键词。

输出格式

# JD 分析:<公司> / <岗位>
## 要求地图
| 类别 | 要求 | JD 来源 | 候选人状态 | 证据/缺口 |
## 匹配度
- 计算:…
- 结果:…(解释性指标,不代表录用概率)
## 定制优先级
1. …
## 待确认与真实缺口
- …

约束

  • JD 关键词的来源是 jd,不能直接写入候选人技能或经历。
  • 缺失资格、年限、证书和工作授权如实显示;不建议伪造或暗示具备。
  • 公司文化、薪资和地点等信息与技术要求分开,不用推断替代文本事实。
Files

What ships with it

1 file 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.

Changes

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.

  1. 12d ago First seen · 48 lines · 80 tokens per session scan A 06a4cf09429f

Subscribe to this mod's changes

job-description-analyzer is a skill published in the GitHub repository Chasen-Liao/resume-skills (28 stars, last pushed 4d ago), licensed MIT. It adds 80 tokens to every session and 660 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.

Related

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