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 PramodDutta/qaskills --skill job-description-analyzergit clone --depth 1 https://github.com/PramodDutta/qaskillsWrote 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/pramoddutta/qaskills/job-description-analyzer)<a href="https://agentmods.dev/skills/pramoddutta/qaskills/job-description-analyzer"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/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.
<a href="https://agentmods.dev/skills/pramoddutta/qaskills/job-description-analyzer"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/job-description-analyzer.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 | $0.00019 | $0.03701 |
| Opus 5 | $0.00010 | $0.01851 |
| Sonnet 5 | $0.00004 | $0.00740 |
| Haiku 4.5 | $0.00002 | $0.00370 |
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 5d 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.
This is a copy
88% identical to job-description-analyzer — 48 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 504 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
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.
- 5d ago First seen · 504 lines · 19 tokens per session scan A 1223a63f3bdc
Job Description Analyzer is a skill published in the GitHub repository PramodDutta/qaskills (219 stars, last pushed 9d ago), licensed MIT. It adds 19 tokens to every session and 3,701 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to job-description-analyzer, differing in 48 lines, and is treated as a copy.
Other skills, from other repositories
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.
interviewing
Use when the user gets an interview invitation, moves into an interview process, wants to track interview stages, capture post-interview notes, draft follow-up messages, or update an application to interviewing.
get-started
Use when the user is new to Job Hunt Skills and wants to see what it does or set up their workspace — including "I'm new to Job Hunt Skills", "help me get started", "set me up", "first time using this", "here's my resume, tailor it for this job", "can you look at my resume", pasting a resume and a job posting…
resume-tailoring
Methodology for tailoring a resume to a job description honestly and effectively — fit analysis, gap handling, keyword mirroring, fast-learner framing, and primary-over-secondary emphasis. Use whenever curating or rewriting a resume for a specific role.
kochab
Kochab, a personalized resume-based job-search assistant that runs a recurring scan and everything downstream of it. Use when the user wants to start or run a job search, shares a resume, or says "set up my job scan," "find roles that fit my resume," or "what should I apply to." Also use to tailor a resume, draft a…
placed-career-tools
This skill should be used when the user wants to "track job applications", "research a company", "benchmark salary", "negotiate salary", "generate cover letter", "optimize LinkedIn", "check ATS score", or wants to use AI career tools from the Placed platform at placed.exidian.tech.