agent-skills-gap · git:20260920.a474e57 · 2026-09-20 · sha256 9912fa0d7ea92f1a
agent-skills-gap git:20260920.a474e57A
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--- name: agent-skills-gap description: Analyze Claude or Codex session logs or pasted prompts to identify evidenced strengths, weak task categories, a surprising weakness, and up to seven relevant skills, then create a private JSON result and shareable card. Use when asked for an AI skills gap test, agent résumé, missing expertise, or a share card about what an agent is good or bad at. --- # Agent Skills Gap Test Give the user a defensible result, not a personality quiz. ## Run 1. Use only the session logs, transcripts, or prompts the user authorized. 2. Locate this skill directory and run its deterministic analyzer: ```bash node /absolute/path/to/this-skill/cli.js --out ./out <input-file> [more-input-files] ``` For pasted material, save it as a temporary `.txt` input inside the task workspace first. Do not put private prompt text in a shell argument. 3. Read `out/skills-gap.json`. Report: - strongest measured category; - every category rating; - the surprising weakness; - the recommended skills count and names. 4. Point the user to `out/skills-gap-card.svg` as the shareable artifact. ## Evidence rules - Fewer than two relevant entries means `Not measured`, never `Weak`. - A task appearing often is not proof of quality. Weakness requires explicit friction evidence. - Say the result describes the supplied sample, not the model's intelligence. - Recommendations mean “relevant to this observed gap,” not “confirmed missing from the machine.” - Never copy prompts, paths, filenames, private project names, or transcript excerpts into the share card or public summary. - Cap recommendations at seven. - Do not upload or publish anything without a separate explicit action. ## Output contract `skills-gap.json` uses schema `agent-skills-gap/0.1`. The SVG contains only generic category labels, ratings, the number of analyzed entries, and recommended-skill count. Raw input stays local.