skillpack-harvest

name	skillpack-harvest
description	| Use when this capability is needed.

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

路径约定（OpenClaw）： 本 skillpack vendored 在 references/ 下，文档内 交叉引用用 references/<slug>/SKILL.md。Host 仓库与上游 gbrain 仓库仍使用 skills/<slug>/；gbrain skillpack harvest CLI 写入上游时也是 skills/。

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（上游 gbrain 仓库路径；OpenClaw 本地副本在 references/<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（上游 gbrain 树；OpenClaw 本地为 references/<harvested-slug>/SKILL.md）及 sibling 文件如 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 [e-mail]
   • 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 host 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>/ （OpenClaw 本地 vendored 副本：references/<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 上游 skills/<slug>/ — every file in the host skill dir (copy). OpenClaw 本地 bundle 同步为 references/<slug>/。
• 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

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Source: beyonai/ByClaw — distributed by TomeVault.