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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.

معلومات المصدر

المستودع
QoderAI/better-harness
آخر نشاط في المصدر
٢٧ يوليو ٢٠٢٦ في ١٢:١٣
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٢٬٣٧٣
التفرعات
١٩١

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات
2 ملفات

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
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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