gbrain/skills/skillpack-harvest/SKILL.md

name, version, description, triggers, mutating, writes_pages, writes_to

name	version	description	triggers	mutating	writes_pages	writes_to
skillpack-harvest	0.33.0	Lift a proven skill from a host repo (e.g. your OpenClaw fork) back into gbrain's bundle so other clients can scaffold it. Editorial workflow: the CLI does the file copy + privacy lint; this skill drives the judgment-heavy genericization (scrub real names, generalize triggers, lift fork-specific conventions to references).	harvest this skill into gbrain publish this skill to gbrain lift this skill upstream share this skill with other gbrain clients promote my skill to gbrain	true	false	skills/<harvested-slug>/ openclaw.plugin.json

skillpack-harvest — Editorial workflow for lifting host skills into gbrain

Convention: see _brain-filing-rules.md for file placement rules. This skill writes into gbrain's own tree, not the brain repo's notes.

This skill is the inverse of gbrain skillpack scaffold. Scaffold ships skills downstream (gbrain → host). Harvest lifts proven patterns upstream (host → gbrain) so they become references every other client can scaffold.

Contract

A harvest is "properly done" when:

1. The host skill is mature (used in production, recent routing-eval cases pass).
2. The editorial genericization in Phase 3 has scrubbed every fork-specific reference (names, real entities, internal channels).
3. gbrain skillpack harvest --dry-run previewed the file set.
4. The real gbrain skillpack harvest <slug> --from <host> succeeded with status: harvested (no privacy-lint hits).
5. bun test test/skills-conformance.test.ts passes on the new skills/<slug>/SKILL.md.
6. The user has reviewed the diff in gbrain and explicitly approved the commit.

If any of these is incomplete, the skill is NOT yet harvested — the files may sit in gbrain's working tree, but they're not landed.

Output Format

This skill produces three artifacts in gbrain's working tree:

1. skills/<harvested-slug>/SKILL.md (and any sibling files like routing-eval.jsonl)
2. Paired source files at their mirror paths (e.g. src/commands/<slug>.ts) when the host SKILL.md declared them in frontmatter sources:
3. An updated openclaw.plugin.json with the new slug added to skills: (sorted)

The session output to the user is a one-line success summary plus a list of files written. JSON mode (--json) returns the full HarvestResult shape for machine consumption.

Anti-Patterns

• Skipping the dry-run. Always preview first. Files land in gbrain's working tree; cleanup is a git checkout away, but you shouldn't need to.
• Trusting the linter alone. The default regex set catches the common cases. It doesn't catch every proper noun. Phase 3 (the editorial pass) is the primary defense.
• Harvesting --no-lint without justification. The lint exists for a reason. If you bypass it, document why in the commit.
• Harvesting a skill that's still in flux. Wait until the host version stabilizes. Otherwise you'll harvest, then re-harvest, then re-harvest, and that churns gbrain's bundle for no benefit.
• Moving files instead of copying. Harvest is a copy. The host retains its skill. Don't rm -rf the source after harvesting.
• Harvesting batch (multiple skills at once). Not supported, and for good reason — the editorial review per skill is real work.

When to invoke

• The user developed a skill in their host fork (Wintermute, Neuromancer, Zion, etc.) and wants other gbrain clients to be able to use it
• A skill has proven itself in production and is ready to generalize
• The user explicitly asks to "harvest" or "publish" a skill upstream

Do NOT invoke when:

• The skill is still in flux locally — let it stabilize first
• The skill references private content that can't be generalized
• The user just wants to share a one-off draft (use a gist instead)

Preconditions

Before running this skill, confirm:

1. The skill is mature. Recent routing-eval.jsonl cases pass; the skill has been used in production at least a few times.

2. The skill is generalizable. Strip-test in your head: replace every fork-specific name. Does it still make sense as a skill?

3. The user owns the gbrain checkout. The harvest writes into gbrain's working tree. They'll review and commit. Don't harvest into a checkout the user doesn't intend to commit from.

Workflow

Phase 1 — Plan

Ask the user:

• What slug should the harvested skill have? (Slugs must be kebab-case, globally unique in the gbrain bundle.)
• Which host repo is the source? (Path to repo root, not to the skill directory — e.g. ~/git/wintermute, not ~/git/wintermute/skills/foo.)
• Should paired source files come along? (Check the host SKILL.md's frontmatter sources: array.)

Phase 2 — Dry-run + privacy-lint preview

Run the CLI with --dry-run:

gbrain skillpack harvest <slug> --from <host-repo-root> --dry-run

The output shows:

• Which files would land in gbrain's tree
• Whether paired sources are included
• (Implicit) The skill's frontmatter triggers — read them and check they generalize

Do not skip the dry-run. The privacy linter only runs on a real harvest, but the dry-run preview lets you see the files before they land. Spot-check the SKILL.md and any paired source for things the linter might miss (proper nouns, internal project names, etc.).

Phase 3 — Genericization checklist (the editorial pass)

Before running the real harvest, walk the host's skills/<slug>/ files and apply this checklist. If anything matches, edit the host file FIRST, then run harvest.

1. Fork-specific names → generic phrasing

   • Wintermute → your OpenClaw (or OpenClaw deployment)
   • Neuromancer, Zion, <personal-fork-name> → same treatment
   • Personal first names (garry, jane, etc.) → the user / you / a generic placeholder

2. Real entities → placeholders

   • Real people, companies, deals, funds → placeholder slugs (alice-example, acme-example, fund-a, etc.)
   • Email addresses → strip entirely OR use example@example.com
   • Internal Slack channels → #some-channel or strip
   • Specific tracker IDs / Linear ticket numbers → strip

3. Fork-specific conventions → references

   • Mentions of <host-repo>/docs/... files → either lift the doc into gbrain OR replace with a generic placeholder explanation
   • Mentions of <host-repo>/skills/<other-fork-only-skill> → either decide to harvest that one too, or replace with a generic pattern reference

4. Triggers array generalizes

   • Read every entry in frontmatter triggers:. None should reference the user's name, fork name, or internal tools.
   • "Have garry sign off on it" → "have the user sign off on it"

5. routing-eval.jsonl examples are scrubbed

   • Open skills/<slug>/routing-eval.jsonl. Every intent field gets the same scrub as triggers:.

6. Code comments + log strings

   • If a paired source is going to be harvested, walk it for the same private-pattern leaks. Comments are the most common hiding spot.

Phase 4 — Real harvest

Once Phase 3 is complete, run the real harvest:

gbrain skillpack harvest <slug> --from <host-repo-root>

Default behavior:

• Path-confinement + symlink rejection at file copy
• Privacy linter runs against ~/.gbrain/harvest-private-patterns.txt (plus built-in defaults: \bWintermute\b, email, Slack channels)
• On any match → rollback (delete the harvested files) + exit non-zero
• openclaw.plugin.json updated to add the slug, sorted

Outcomes:

• harvested — success, manifest updated, files in gbrain's tree
• lint_failed — privacy linter caught something. Go back to Phase 3, scrub the host file, retry.
• slug_collision — gbrain already has a skill at that slug. Either use a different slug, or pass --overwrite-local if you really mean to replace.

Phase 5 — Verify in gbrain

After a successful harvest:

1. bun test test/skills-conformance.test.ts — confirms the new SKILL.md meets the frontmatter contract.
2. gbrain skillpack check --strict — confirms no drift between bundle and gbrain's own checkout.
3. gbrain skillpack list — confirms the slug shows up in the bundle.
4. Review the diff: cd <gbrainRoot> && git diff -- skills/<slug>/
5. Commit the additions in gbrain (do NOT commit any leftover files in the host repo — harvest is a copy, not a move).

Phase 6 — Downstream announcement (optional)

If other gbrain clients should pick up the new skill:

• Note it in CHANGELOG.md under "Skills added" for the next release
• Tag the user / contributor in the PR if the skill came from someone outside the core team

Bypass: --no-lint

The privacy linter is the safety net. The editorial pass is the primary defense. If you've completed Phase 3 thoroughly and the linter is still firing on a false positive, use --no-lint:

gbrain skillpack harvest <slug> --from <host-repo-root> --no-lint

Document the bypass in the commit message. Future maintainers should be able to see WHY the lint was bypassed (e.g. "Wintermute appears in a citation, not a real reference — verified manually").

Never bypass the linter on a casual basis. The whole point of the default-on lint is that real names occasionally slip through the editorial pass.

What harvest does NOT do

• It does NOT move files (it copies). The host's skills/<slug>/ stays in place.
• It does NOT auto-scrub names. The editorial pass is human-driven.
• It does NOT publish to npm or a remote bundle. It writes to gbrain's working tree; the user commits + ships via the normal gbrain release process.
• It does NOT support --all (no batch harvest). One skill at a time keeps the editorial review tractable.

Files this skill touches

• gbrain's skills/<slug>/ — every file in the host skill dir (copy)
• gbrain's mirror path for declared paired sources (e.g. src/commands/<slug>.ts if the host SKILL.md declares it in frontmatter)
• gbrain's openclaw.plugin.json — adds the slug to skills: array, sorted alphabetically