AI Job Analysis And Relevancy
- Use when checking whether an AI/ML selection tool is grounded in an adequate analysis of work and is demonstrably job-related — Concerns 2-3 of Tippins, Oswald & McPhail (2021). Covers whether a job analysis is necessary (even with a strong criterion-related relationship), acceptable forms and rigor, ONET and competency-model limits, collecting task importance ratings, SME-judgment agreement, and the legal meaning of job relatedness. Triggers: "does the AI tool need a job analysis", "is this algorithm job-related", "competency model vs job analysis for AI", "ONET as job analysis", "job relevancy of scraped predictors", "Guardians job analysis".
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: AI & Agents — see all ranked ›
Install (Claude Code):
cp -r ai-job-analysis-and-relevancy ~/.claude/skills/- Adoption: 1 repos
- Upkeep: 71.0
- Freshness: 76.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 2
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
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source ↗ · skill:OpenMatter-Network/ai-job-analysis-and-relevancy
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Measured 2026-08-15 · scorer s5 · how · something wrong here?