reference-pack
Reference skill demonstrating the 10/10 skillpack contract. Adds a "what does this skillpack do" answer to the user's agent.
What this skill does
# reference-pack This is the canonical reference for a third-party gbrain skillpack. Read its tree once and you know how to author one. ## What this skill does When the user asks how third-party gbrain skillpacks work, this skill points them at the four artifacts every pack ships: - `skillpack.json` — declares pack metadata + which artifacts the doctor scores (skills, unit_tests, e2e_tests, llm_evals, routing_evals, runbooks, changelog). - `skills/<name>/SKILL.md` — frontmatter (name, description, mutating, triggers) plus markdown body. Agents route on `triggers:`; the body is the in-context instruction set. - `runbooks/bootstrap.md` — agent-readable post-scaffold steps. gbrain DISPLAYS this after `scaffold` lands; the agent walks per-step at its own discretion. No auto-executor (codex T1 supply-chain hardening). - `CHANGELOG.md` — Keep-a-Changelog shape. The doctor's `changelog_ present_and_current` dimension fails if there's no `## [<version>]` entry matching the manifest's `version`. ## What the doctor scores Ten binary dimensions, split into: **Core (5; must all pass to publish at any tier):** 1. `manifest_valid` — schema-validates skillpack.json 2. `skills_have_skill_md` — every listed skill has SKILL.md with name / description / triggers 3. `routing_evals_present` — each skill has routing-eval.jsonl with >= 5 intents 4. `skills_have_unique_triggers` — MECE at the pack level 5. `changelog_present_and_current` — CHANGELOG entry for current version **Quality badges (5; earn for tier eligibility):** 6. `unit_tests_present` — manifest.unit_tests matches >= 1 file 7. `e2e_tests_present` — manifest.e2e_tests matches >= 1 file 8. `llm_eval_present` — `*.judge.json` with >= 3 cases 9. `bootstrap_runbook_present` — non-empty runbooks/bootstrap.md 10. `license_present` — LICENSE / LICENSE.md / LICENSE.txt non-empty Tier eligibility: - `endorsed` — all 10 (gates: Garry's `endorsements.json` overlay in the registry) - `community` — all 5 core + >= 3 of 5 badges (default tier on PR merge) - `experimental` — all 5 core + < 3 badges - `blocked` — any core fails Run `gbrain skillpack doctor <pack-dir>` to see exactly which dimensions a candidate pack passes and the paste-ready fix for each failure. `--fix --yes` auto-scaffolds the dimensions flagged `auto_fixable: true` (routing-eval stubs, CHANGELOG entries, license stub, bootstrap stub, test stubs). ## How agents use this skill The triggers above route any "what is a skillpack" / "how do third- party packs work" user phrasing to THIS skill. The agent reads the markdown body, then either answers the user's question directly or calls `gbrain skillpack info <name>` / `search <query>` for live registry data. ## Test + eval coverage - `test/example.test.ts` — unit test that imports the skill helper (stub; replace with real assertions). - `e2e/example.e2e.test.ts` — integration test gated on DATABASE_URL. - `evals/reference-pack.judge.json` — LLM-judge eval scoring this skill's output against the "does it actually teach the contract" bar across happy-path / edge / failure-mode cases. - `skills/reference-pack/routing-eval.jsonl` — five phrasings users ask, all mapped to `expected_skill: reference-pack`. ## Author's checklist Before pushing, the publisher runs: ``` gbrain skillpack doctor . --quick --json gbrain skillpack pack ``` The first hits the rubric and prints paste-ready fixes for any failed dimension. The second emits `reference-pack-<version>.tgz` with a deterministic SHA-256 the publisher submits to the registry PR.
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