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gaia-review-meta-close

Close out a review/meta branch that lands an evidence-ingest / curation batch: create the named nodes, ingest verified evidence, appraise Trust Magnitude, calibrate stars, wire suites, correct upstream naming, stage ONLY the intended artifacts (dropping CRLF churn and blocking leaks), validate, and open the PR. Use when a curation/ingest batch is verified and ready to land, or when the user says "close the review/meta branch", "land the ingest batch", "wrap up the intake PR", "/gaia-review-meta-close". Wraps the deterministic hygiene in scripts/review_meta_close.py and gates the judgment calls (calibration, Origin, suite promotion, naming, merge) behind explicit human checkpoints.

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/gaia-review-meta-close

Turns the messy, rules-everywhere review/meta close-out into a bounded pipeline: the script owns the mechanical parts, the human owns the judgment parts. It exists because the ingest → appraise → calibrate → suite → name → stage → PR sequence has ~10 precise rules (Origin gate, suite-manifest survival, CRLF churn, badge/Class-S discipline, UTF-8 validate) that are easy to get wrong one at a time.

Backed by scripts/review_meta_close.py (status / stage / validate / check).

When to run

After /ev-pipeline (or /gaia-curate-chain) has verified the evidence and an L4 reviewer approved the batch. This skill lands it; it does not discover or re-verify evidence.

Upstream handoff: /gaia-ingest-batch hands off to this skill once evidence is ingested and appraised — it passes the branch, the affected contributor handles, the per-skill TM/grade, and the intake issues to Resolves. If you arrive here directly (nodes + evidence already in place), run from §3 onward; if the nodes/evidence do not yet exist, do §1–§3 first.

Operating principle

  • Programmatic by default. Every registry mutation goes through a gaia dev verb (Programmatic-First Policy). Never hand-edit frontmatter or timelines.
  • Human gates catch what the pipes missed. Stop at each GATE below for an explicit decision. These are the four places prior phases most often ship a wrong star, a stripped suite, a capability-vs-upstream name mismatch, or an accidental merge. A gate is a genuine stop — present the finding, wait.
  • Prefix every gaia dev call with GAIA_OPERATOR_OVERRIDE=1 PYTHONPATH=src and pass --no-build on every mutation; run exactly one build at the end.

Pipeline

0. Branch

Work on review/meta/<slug> cut from origin/main. Confirm you are on it (git rev-parse --abbrev-ref HEAD) before any edit — a commit landing on the wrong branch is a real failure mode. Commit + push after each logical unit.

1. Create nodes (dependency order)

Named-skill evidence cannot be written until the node exists, and a named node needs its generic ref to exist first. Order:

  1. Generic bucket: gaia dev add "<Name>" --id <slug> --type basic --description "..." --no-build (skip if the generic already exists — gaia dev list --generic | grep <slug>).
  2. Named skill: gaia dev add "<Name>" --named --contributor <handle> --generic-ref <slug> --description "..." --title "<Title>" --extra-fields '{"links":{"github":"<blob-url>"}}' --no-build.

Contributor handles must be lowercase (Panniantong → panniantong); the display name/title can keep original casing. Blob URL must be blob/<branch>/<path>, never tree/.

2. Ingest evidence (one row at a time)

For each verified row in the data lake, gaia dev evidence <contributor/skill> "<url>" --type <type> <typed-flags> --notes "..." --source-started-at YYYY-MM-DD --no-build. Use the numeric flags the type supports (--stars, --views, --citations, --reviewers, --commits, --contributors, --skill-count-in-repo, --percentile). A benchmark-result needs its full reproducibility payload (attestor, dataset/input hashes) — a mirrored third-party benchmark that can't supply them is EXCLUDED from TM; record it in the lake, not as a registry row with faked hashes.

3. Appraise (use the RIGHT tool)

TM is a derived value read after build — never write it. Read it with the canonical inspector, which loads the named .md evidence:

GAIA_OPERATOR_OVERRIDE=1 PYTHONPATH=src python3 scripts/inspectTrustMagnitude.py --skill <contributor/skill>

Or run scripts/trust_appraise.py --skill <contributor/skill> (which reads the named .md frontmatter, loads generic and named maps, and computes live Trust Magnitude and Grade).

4. GATE — calibration (TM band, branch rules, and Origin)

Per META.md: TM bands map S≥250→5★, A≥100→4★, B≥50→3★, C≥20→2★, ungraded(<20)→1★. Every 4★ promotion requires Overall Trust Grade A (TM ≥ 100) and live verified blob evidence pointing to a concrete implementation file (The Star Bar, META.md §2.4).

However, Origin requirements fork by branch:

  • Unique branch (standalone skill, no suiteComponents): 4★ Unique requires bucket-level Origin — being the most-renowned named implementation in the generic bucket (META.md §4.1; exactly one Origin per bucket). Before proposing 4★ Unique, check the bucket: grep -rl "genericSkillRef: <slug>$" registry/named/. If a stronger incumbent holds the bucket, the A-grade skill caps at 3★ unless you move competitors to a different generic (gaia dev update-named <other> --generic-ref <new-bucket>) and set --origin true.
  • Suite branch (suite capstone carrying suiteComponents): 4★ Extra does NOT require bucket-level Origin on its generic bucket. The capstone represents a multi-skill suite rather than a single bucket monopoly. Suite origin requirements apply at 5★ Ultimate (where the proposer must hold Origin on ≥1 of the suiteComponents per META.md §4.2). Existing 4★ suite capstone precedents include leonxlnx/taste-skill (4★ Extra, origin: false on generic design-generation, TM 172.43 Grade A) and gsd-build/get-shit-done (4★ Extra).

STOP. Present a table (skill | branch | TM | grade | bucket occupancy / suite status | proposed star) and get explicit operator approval. Then apply approved calibrations: gaia dev calibrate <contributor/skill> <N★> --no-build (star glyph, not bare int). A skill landing at 1★ is not Named — that is a legitimate outcome for ungraded Stage-1 skills; the redaction validator handles it, status: named is fine.

5. GATE — suites (use gaia dev fuse, not update-named)

If the batch includes a suite capstone: gaia dev update-named --suite-components alone does NOT survive gaia dev build — gaia dev docs strips suiteComponents from frontmatter unless a suite manifest at registry/suites/<contributor>/<slug>.json backs it. Establish suites with:

gaia dev fuse <generic-id> --name "<Name>" --description "..." \
  --prereqs <comp-generic-ids> --named-capstone <contributor/capstone> \
  --suite-components <contributor/comp-1>,<contributor/comp-2>,... --no-build

Verify after build that grep -c suiteComponents registry/named/<contributor>/<capstone>.md is ≥1. STOP for the capstone rank decision (recipe-driven TM can overstate a young repo — a founder ruling may hold it below its TM band).

6. GATE — upstream naming

The intake slug is often the capability name, not the real upstream skill (e.g. ux-audit for ui-ux-pro-max, format-output for i-have-adhd). Compare each named id against its links.github folder/file. STOP and confirm which should be corrected — intentional command-name divergences (documented in the intake issue) are left alone. To correct: gaia dev rename <contributor/old> <contributor/new> (named-skill rename is supported), then gaia dev update-named <contributor/new> --name "<Upstream Name>" --title "<Upstream Name>". The genericSkillRef (capability bucket) does not change — only the named id + display.

7. Build once, then hygiene + stage

GAIA_OPERATOR_OVERRIDE=1 PYTHONPATH=src python3 -m gaia_cli.main dev build   # single build
python scripts/review_meta_close.py status -v          # classify real / EOL-noise / leaks
python scripts/review_meta_close.py stage --contributor <h1,h2,...> --apply   # stage intended only
python scripts/review_meta_close.py check               # must be CLEAN

The script stages ONLY: registry/{named,nodes,suites}, tracked registry/*.md, docs/graph/* (Class S — Guard E), docs/badges/registry.json, and docs/badges/_assets/<h>/ + docs/og/<h>/ for the handles you pass. It renormalizes to LF (killing CRLF churn) and never stages a leak. Badges are only 2★+ (1★ carry none). Everything else the build touched (version-bump churn on unrelated profiles, other contributors' badges) is intentionally left out — never git add -A. If stage lists real changes OUTSIDE the allowlist, review them: they are either version-churn (discard) or need another --contributor.

8. Validate + commit + push

python scripts/review_meta_close.py validate    # gaia dev validate, UTF-8-safe, must PASS
git commit -m "..."   # conventional; note calibrations, renames, suite in body
git push

Merge conflicts land only in generated docs/graph/* — take --ours, complete the merge, re-run the single build, re-stage docs/graph/*. Never hand-merge them.

9. PR

Open (or edit) the PR with --body-file (real newlines):

  • Resolves #<n> for each fully-closed intake issue. A suite issue with sub-skills held for separate promotion is listed but NOT auto-resolved — say so explicitly.
  • Summary table: skill | TM | grade | calibrated stars.
  • Note the pre-ingest fixes (e.g. a tree/→blob/ correction) and any renames.
  • Include an Entrypoints section (usually "registry-data + CLI PR; no new user-facing pages" for a pure ingest).
  • Verify: gh pr view <n> --json body,mergeable.

10. GATE — merge

Do not merge. Report the PR URL, CI status, and the calibration table. The final merge to main is a human decision (this skill never merges).

What the script owns vs what you own

Mechanical (script)Judgment (you, at a GATE)
classify real vs EOL-noise vs leakswhich star each skill lands at (§4)
LF-renormalized allowlist stagingOrigin bucket resolution (§4)
refuse/flag leaks, never git add -Asuite capstone rank (§5)
UTF-8-safe gaia dev validatewhich names to correct vs leave (§6)
staged-EOL-noise + conflict preflightwhich issues to Resolves (§9); merge (§10)

Known tooling frictions (worked around here; report persistent ones)

  • gaia dev build strips suiteComponents without a suite manifest → use gaia dev fuse (§5).
  • gaia dev validate crashes on Windows (cp1252 on ✓) → the script runs it UTF-8-safe.
  • trust_appraise.py --skill resolves named frontmatter and computes live TM/Grade (fixed in Issue #1742).
  • Windows checkouts introduce CRLF churn on every touched file → the script's LF-renormalized allowlist drops it.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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ci-churn

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Measure CI churn cost for a pull request: how many commits and how many CI-compute seconds were burned on avoidable "fix the CI" push rounds. Use when you want to understand the efficiency cost of a PR's iteration cycle, get actionable pre-push check suggestions, or include a churn summary in a pipeline report. Triggers: "ci churn", "how much CI did we burn", "avoidable commits", "ci efficiency", "wasted CI time", "churn report", "/ci-churn". Called automatically by /fp-drift at pipeline close.

日本語の概要は準備中です。原文の説明を表示しています。

gaia-research/gaia-skill-tree232026年10月13日 更新

Produce the rendered evidence a human-gated frontend PR owes its reviewer: capture each changed surface (plus the before state for anything modified, plus mobile width), then generate one self-contained local HTML page the founder can open and review without checking anything out. Use when a PR is gated by the "Frontend changes are HUMAN-GATED" section of CLAUDE.md, or when the user says "/design-gate", "screenshot evidence for this PR", "prep this for founder review", "build the design evidence page", "what does this look like before and after". The page comes from a template script, not hand-written markup. Output is session-local and never committed. Do NOT use for non-gated changes: typo/grammar/factual fixes in an unchanged block, dead link targets, alt/ARIA fixes with no visual change, cache-bust bumps, or refactors with no rendered diff.

日本語の概要は準備中です。原文の説明を表示しています。

gaia-research/gaia-skill-tree232026年10月13日 更新

One-fix-at-a-time, approval-gated design fix recovery. Given a checklist of fixes (handover doc, CHECKLIST.md, or inline list), applies each individually, presents a diff, and waits for an explicit APPROVE / REJECT / NO CHANGES decision before committing. Trigger phrases: /design-iteration, "go through the checklist one by one", "fix these one at a time", "bucket recovery", "design fix pass".

日本語の概要は準備中です。原文の説明を表示しています。

gaia-research/gaia-skill-tree232026年10月13日 更新

Playbook for correcting a named skill's star level to match its computed Trust Magnitude grade, with an independent post-calibration verification pass and a CLI-logged timeline event (never hand-written). Use when: recalibrating a skill's level, fixing a stale or drifted star rating, running a batch of `gaia dev calibrate` corrections, or confirming a past calibration actually landed. Triggers: "calibrate <skill>", "recalibrate the trust magnitude backlog", "promote/demote <skill> to N stars", "why is <skill> still N stars", "verify a calibration actually landed", "Hall of Heroes ranking is wrong".

日本語の概要は準備中です。原文の説明を表示しています。

gaia-research/gaia-skill-tree232026年10月13日 更新

Close out a completed EPIC / sprint end-to-end: author a fact-verified meta-post announcing what shipped, archive the EPIC's handovers, snapshot orchestrator memory, gate the integration→main merge on CI-green + explicit human go, drive the version bump (merge-commit conventions that auto-sync classifies), and verify the release reached the registry/PyPI. Use when the user says "close out EPIC <n>", "wrap up the sprint", "ship the meta shift", "/epic-close", or asks to finalize an integration branch that is ready to merge to main. Generalizes the EPIC 1002 (Yggdrasil II) close-out. This skill orchestrates — it authors founder docs directly (superadmin) and delegates code/regen to workers; it NEVER merges to main without the human gate.

日本語の概要は準備中です。原文の説明を表示しています。

gaia-research/gaia-skill-tree232026年10月13日 更新

Run this skill for Phase 3 of the evidence verification pipeline — the adversarial audit step. Use when you need to check the evidence data lake for bad data before ingestion: dead links, wrong URL formats (tree/ vs blob/), subjective wording ("elite", "high-quality"), stale migration notes, benchmark catalog misuse/vendor-claim leakage, or skills whose star evidence conflicts with classified evidence level. Triggers on phrases like: "audit the data lake", "adversarial check", "ev-adversarial-audit", "check for noise in evidence", "flag bad evidence", "run the audit phase", "quality check the by-type files", or any reference to Phase 3 of the pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

gaia-research/gaia-skill-tree232026年10月13日 更新

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