job-description-analyzer

job-description-analyzer is a skill for Claude Code, Codex from Paramchoudhary/ResumeSkills. It costs 20 tokens per session (3,195 once invoked), scanned A, original, MIT.

A job-posting analysis workflow that compares a role’s requirements with a candidate’s experience and produces a match assessment, gaps, risks, and application guidance.

In plain words
What is it for?
It is for deciding whether to apply, identifying missing qualifications, choosing experience to highlight, and preparing a targeted resume or cover letter.
Why use it?
It reduces blind applications by showing whether a job fits before time is spent tailoring documents or preparing an application.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It is for deciding whether to apply, identifying missing qualifications, choosing experience to highlight, and preparing a targeted resume or cover letter.

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Install with agentmods
npx agentmods add skills/paramchoudhary/resumeskills/job-description-analyzer
About the project

ResumeSkills is a collection of AI-agent skills for improving resumes, preparing job applications, practicing interviews, and planning career moves. It is intended for job seekers, career changers, and professionals using Claude Code for tasks such as ATS checks, job-description matching, resume tailoring, and salary negotiation. The catalogue entry consists of the project's career-focused skills.

Paramchoudhary/ResumeSkills · 2,190 stars · on GitHub

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 Paramchoudhary/ResumeSkills --skill job-description-analyzer
Clone the repo
git clone --depth 1 https://github.com/Paramchoudhary/ResumeSkills

Made for: Claude Code, Codex.

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/paramchoudhary/resumeskills/job-description-analyzer/github.svg)](https://agentmods.dev/skills/paramchoudhary/resumeskills/job-description-analyzer)
Your own site
<a href="https://agentmods.dev/skills/paramchoudhary/resumeskills/job-description-analyzer"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/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/paramchoudhary/resumeskills/job-description-analyzer"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/job-description-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,195 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
  • Socket pass 23 May 2026
  • Snyk warn 23 May 2026
  • 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 $0.00020 $0.03195
Opus 5 $0.00010 $0.01597
Sonnet 5 $0.00004 $0.00639
Haiku 4.5 $0.00002 $0.00319

Measured 10d ago against content hash 9898051a4a54, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.agents/skills/job-description-analyzer/SKILL.md · 458 lines

How it starts

The opening of the file, as written. The whole thing — 458 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Job Description Analyzer

When to Use This Skill

Use this skill when the user:

  • Wants to analyze a job posting
  • Asks "should I apply to this job?"
  • Wants to know their match percentage for a role
  • Needs help understanding job requirements
  • Wants to tailor their resume for a specific position
  • Mentions: "analyze this job", "am I qualified", "match score", "should I apply"

Use this BEFORE resume tailoring to ensure effort is worth it.

Core Capabilities

  • Extract and categorize job requirements (must-have vs nice-to-have)
  • Calculate match score between user's experience and job requirements
  • Identify skill gaps and strengths
  • Detect red flags in job postings
  • Prioritize which experiences to highlight
  • Generate resume tailoring strategy
  • Create cover letter talking points
  • Assess company culture fit indicators

The Strategic Problem

Most job seekers waste time on:

  • Jobs they're under-qualified for (<60% match)
  • Jobs they're over-qualified for (flight risk)
  • Jobs with red flags (high turnover, toxic culture)
  • Applying to 50+ jobs blindly hoping something sticks

Better approach:

  • Apply to 10-15 jobs strategically
  • Target 70-90% match jobs
  • Customize deeply for each
  • Higher response rate, less burnout

Analysis Process

Step 1: Extract Requirements

Break job description into categories:

Required (Must-Have)

  • Education requirements
  • Years of experience
  • Specific technical skills
  • Certifications/licenses
  • Industry experience

Preferred (Nice-to-Have)

  • "Bonus" skills
  • Advanced certifications
  • Domain expertise
  • Specific tool experience

Soft Skills/Culture

  • Communication style
  • Work environment
  • Team structure
  • Company values

Step 2: Keyword Extraction

Identify three types:

Hard Skills (Technical abilities)

  • Tools: Salesforce, Python, AWS, Excel
  • Methodologies: Agile, Six Sigma, SDLC
  • Certifications: PMP, CPA, AWS Certified

Soft Skills (Interpersonal)

  • Leadership, collaboration, communication
  • Problem-solving, critical thinking
  • Adaptability, initiative

Read the full file on GitHub · 458 lines

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. 10d ago First seen · 458 lines · 20 tokens per session scan A 9898051a4a54

Subscribe to this mod's changes

job-description-analyzer is a skill published in the GitHub repository Paramchoudhary/ResumeSkills (2,190 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 3,195 once invoked, about $0.0001 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.