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harness-skill-creator

Use when bootstrapping or tightening the smallest harness-oriented skill from an existing repository, workflow, evaluation corpus, or harness-analysis chain. Trigger for meta skills, reusable harness workflows, Qoder/Codex plugin skill sets, skill blueprints, and harness-analysis-like skills that need evidence-backed references, validation gates, and qodercli forward-tests.

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QoderAI/better-harness
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July 27, 2026 at 12:13
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SKILL.md
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harness-skill-creator
description
Use when bootstrapping or tightening the smallest harness-oriented skill from an existing repository, workflow, evaluation corpus, or harness-analysis chain. Trigger for meta skills, reusable harness workflows, Qoder/Codex plugin skill sets, skill blueprints, and harness-analysis-like skills that need evidence-backed references, validation gates, and qodercli forward-tests.
# Harness Skill Creator Create the smallest skill that makes another agent repeat one harness job with evidence, validation, and clear ownership. ## Workflow 1. Resolve source, target, and host: canonical `skills/<name>/`, `.agents/skills/` wrapper, or both. 2. Inspect the source chain before designing: entry `SKILL.md`, first-hop references, scripts, validators, templates, specs, tests, plugin manifests, and any real smoke evidence. 3. Load `references/bootstrap-patterns.md` after the first inventory. Use it to extract patterns, not product-specific rules. 4. Draft the minimum viable skill map: - skill name and trigger sentence - one job the skill owns - files to create under `skills/<skill-name>/`, usually `SKILL.md` plus one reference - evidence boundary and validation commands - forward-test prompt and pass/fail gates 5. Initialize new canonical skills with the system `skill-creator` helper when available. Add `scripts/` only for stable repeated automation; keep ad-hoc evaluation prompts out of runtime scripts. 6. Write the `SKILL.md` as a router. Put trigger conditions in frontmatter `description`, keep the body short, and route detailed rules to first-hop references. 7. Validate locally, then forward-test. Treat qodercli output as model evidence; local validators and file inspection decide pass/fail. ## Design Gates - Prefer one skill over a stage tree until the target process proves multiple reusable stages. - Copy ownership shape, not product names, branch policy, private commands, or source-specific team routing. - Keep `.agents/skills/` as a wrapper or mirror when the workflow is shared by the plugin; canonical judgment belongs under root `skills/`. - Do not add install, network, server, migration, or dependency-changing commands unless the user requested them and source evidence supports them. - Prefer portable Node/Python validators or target-owned commands. Do not default generated validation gates to Unix-only `grep`/`find` checks. - In attachment-only or no-tools forward-tests, never emit tool-call markup, shell probes, or inspection plans; return the skill map with `status: "insufficient-evidence"` when needed. - Forward-test `files` is a string array of `skills/<skill-name>/...` paths, not objects. - If the generated skill cannot pass `quick_validate.py <skill-dir>`, do not describe it as usable. - After any forward-test, verify git status or file inventory for every repo the model was allowed to read or write. ## Validation Run the narrowest useful gates for the created skill: ```bash python3 <skill-creator-root>/scripts/quick_validate.py <skill-dir> qodercli --cwd <neutral-dir> --plugin-dir <harness-root> -p "<forward-test prompt>" qodercli plugin validate <harness-root> ``` Reject missing frontmatter, stale placeholders, broken links, unsupported commands, source-only assumptions, pseudo tool calls, or broad reports.
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