meta-apply — скилл для Claude Code: что делает и как установить
Вносит одобренные патчи самомодификации в корпус скиллов после проверки отдельным жюри моделей. Срабатывает только по прямой команде человека.
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a claude-codeЧто делает meta-apply
Скилл закрывает периметр привилегий при оптимизации агентов. Генераторы правок вроде /meta-optimize работают в режиме чтения и складывают diff-файлы в каталог .aris/meta/pending/. Ни один генератор не может внедрить свои изменения сам. Реальные правки в корпус вносит только meta-apply.
Перед применением скилл запускает независимое жюри через mcp__codex__codex и проверяет diff заново в чистом контексте. Вердикт генератора игнорируется, чтобы исключить подделку статуса. Скрипт provenance.py следит, чтобы семейство модели автора патча отличалось от семейства модели ревьюера. Если жюри вынесло вердикт KILL или семейства совпали, применение блокируется.
Для работы нужны настроенные MCP-инструменты рецензирования и скрипт provenance.py. Скилл создаёт резервную копию целевого файла в .aris/meta/backups/, меняет код через Write или Edit и ставит штамп происхождения. Прямая правка через Bash исключена.
Какие задачи решает
- защитить корпус скиллов от неконтролируемого самомодифицирования агентом
- проверить подготовленные diff-патчи через независимое межмодельное жюри
- заблокировать внедрение изменений при совпадении семейства автора и ревьюера
- сохранить резервную копию и штамп происхождения перед перезаписью файла
Примеры запросов агенту
- /meta-apply 1,3
- Примени подготовленные патчи 1 и 2
- /meta-apply all
Как установить meta-apply
1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a claude-code2Вручную: положить файлы
~/.claude/skills/meta-apply/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/meta-apply/
1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a codex2Вручную: положить файлы
.agents/skills/meta-apply/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a cursor2Вручную: положить файлы
.cursor/skills/meta-apply/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install wanshuiyin/Auto-claude-code-research-in-sleep meta-apply2Вручную: положить файлы
.github/skills/meta-apply/SKILL.md1Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a gemini-cli2Командой платформы
gemini skills install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --path skills/meta-applyВручную: положить файлы
.devin/skills/meta-apply/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Из того же набора78
Похожие
Рядом в теме «Настройка агента: память, контекст, субагенты»
Все скиллы по теме «Настройка агента: память, контекст, субагенты» →Вопросы о meta-apply
Как установить meta-apply в Claude Code?
Выполните команду npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a claude-code.
Зачем нужен скилл meta-apply?
Он выступает единственной точкой применения патчей самомодификации, запрещая генераторам правок менять код скиллов напрямую без одобрения человека.
Что произойдёт, если жюри моделей отклонит патч?
При вердикте KILL скилл сразу отказывается вносить изменения, а решение жюри нельзя переопределить вручную.
Исходный текст
SKILL.md · MIT
---
name: meta-apply
description: "Privileged applier that LANDS meta-optimize / corpus-audit patches the user approved — the ONLY skill permitted to mutate the skill corpus from a self-modification proposal, with cross-model jury and human approval at landing. Use when the user says \"meta apply\", \"/meta-apply\", \"land the staged patches\", \"应用优化\", after a /meta-optimize run."
argument-hint: "[patch-number-or-all]"
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, mcp__codex__codex, mcp__codex__codex-reply, mcp__antigravity__antigravity, mcp__antigravity__antigravity-reply, mcp__grok__grok, mcp__grok__grok-reply, mcp__claude-review__review, mcp__claude-review__review_reply, mcp__claude-review__review_start, mcp__claude-review__review_reply_start, mcp__claude-review__review_status
---
# Meta-Apply: the privileged landing gate for self-modification patches
> **Before each reviewer slot**, follow [Selectable Reviewers](../shared-references/reviewer-backends.md):
> resolve invocation → `.aris/reviewer.json` → Claude Code default (Codex MCP)
> with `reviewer_route.py` through the canonical helper resolver, preserving this
> slot's tier, fresh contexts, source/image inputs and deterministic gates.
> Codex examples/pins below apply only to `backend=codex`; other routes use their
> own first-call/reply contract. Save the route and actual returned identity;
> unavailable selections are `REVIEW_UNAVAILABLE`. Classify acceptance from actual
> families/completion/scope. Forward invocation reviewer/model/effort overrides
> to reviewer-bearing children. Generation workers are unchanged.
This skill exists to enforce a **privilege boundary**. Producers like
[`/meta-optimize`](../meta-optimize/SKILL.md) (and, later, `corpus-audit`) are
**read-only** — no `Write`/`Edit`, no apply step; they can only *stage* candidate patches
under `.aris/meta/pending/`. **This skill is the only place a staged patch becomes a real
change to the corpus.** Splitting "propose" from "land" across two skills with different
tool grants is what makes "a loop cannot apply its own patch" structural rather than a
sentence the producer is asked to obey.
It is **human-invoked only.** It runs when the user explicitly types `/meta-apply` after
reading the producer's REPORT. That invocation IS the landing authorization (the locked
2026-05-30 decision: the human stays at the landing gate).
## The acquittal is generated HERE, not relayed
The earlier design trusted a `jury_verdict: pass` field in the producer's manifest. That
is **forgeable** — the producer writes that field, so a buggy/misaligned producer could
stage a killed patch labelled "pass." **So this skill does not trust any producer-written
verdict.** It runs the cross-model jury **itself, at landing time, on the actual staged
diff** (fresh thread, paths-only). The verdict is produced where it is consumed, by the
privileged human-invoked skill — nothing to forge.
## The non-negotiable rules (jury-at-landing, reject-default)
For each staged patch the user asks to land, in order — any failure ⇒ skip & report,
never silently apply:
1. **The human named THIS patch.** Apply only patches the user listed (`/meta-apply 1,3`
or `all`); default to applying nothing.
2. **Fresh cross-model jury PASS, obtained now.** Run `mcp__codex__codex` (fresh thread,
NOT codex-reply; `model: gpt-6-astra`, `config: {"model_reasoning_effort": "ultra"}`, `sandbox: read-only`,
paths-only per [`reviewer-independence.md`](../shared-references/reviewer-independence.md))
on the staged `.diff` + its target. Ask: *does this change improve the harness without
regressions; PASS or KILL + one-line reason.* Include the scope-limits block from
[`review-scope-limits.md`](../shared-references/review-scope-limits.md) in that prompt:
this jury judges ARIS's own mechanism, so an over-defensive KILL permanently blocks a
good patch. Note the block bans *proposing new* hash binding — it is not a reason to
KILL a patch that touches the existing provenance stamp. **KILL ⇒ refuse.** The human
cannot override a KILL — they may only pick among jury-PASSED survivors. (A loop can
DRIVE; only the cross-model jury can ACQUIT.)
3. **Author ≠ reviewer family.** The author is the producer's executor model; the reviewer
is the actual returned model that just judged it. Run `provenance.py assert_cross_family` — if it
raises (same family / unknown), refuse. Use actual author/reviewer identities, never infer the family from
the host or transport. This strict landing gate remains mandatory.
## Workflow
### Step 0: Load staging + resolve the helper
```bash
PENDING=".aris/meta/pending"
[ -d "$PENDING" ] || { echo "Nothing staged. Run /meta-optimize first."; exit 0; }
echo "Staged:"; cat "$PENDING/manifest.jsonl"
```
Resolve `provenance.py` via the 4-layer chain in
[`integration-contract.md`](../shared-references/integration-contract.md) §2
(`.aris/tools/` → `tools/` → `$ARIS_REPO/tools/` → `$ARIS_REPO/tools/` via
`~/.aris/repo`).
### Step 1: Jury-at-landing for each requested patch
For every patch the user asked to land, read its staged `.diff` and target, then run the
fresh codex jury (Rule 2) — paths-only, no producer reasoning, no prior-round context.
Record `{patch, jury_verdict, jury_thread_id, one_line_reason}`. Print a one-line result
per patch (`PASS → eligible` / `KILL → refused: <reason>`).
> The producer may have written an *advisory* pre-screen into the manifest to help the
> human read the REPORT — **ignore it for the landing decision.** Only this fresh verdict
> counts.
### Step 2: Land the survivors (Write/Edit only — never Bash)
For each patch that PASSED Step 1 **and** was named by the user:
1. **Back up** the target to `.aris/meta/backups/<date>/<target>` (use the **Write** tool
to copy contents; corpus paths are not Bash-writable when `corpus_write_guard` is
active — and the applier should use Write/Edit for corpus mutation anyway).
2. **Apply** the diff by **Edit/Write** on the target corpus file.
3. **Stamp provenance** on the changed file:
```bash
python3 "$PROVENANCE" stamp "$TARGET" --author "$AUTHOR" \
--reviewer "$JURY_MODEL" --verdict-id "$JURY_THREAD_ID"
```
`stamp()` re-asserts cross-family and refuses on same-family — the structural backstop
at the moment the authorization record is written. The stamp is a **process receipt**
(who authored, who acquitted-at-landing, content hash) — NOT a claim the change is
correct.
4. **Log** to `.aris/meta/optimizations.jsonl`:
`{ts, patch, target, author_model, reviewer_model, jury_thread_id, applied: true}`.
### Step 3: Report
Per patch: `LANDED <target>` (+ backup path + provenance sidecar) or
`REFUSED <patch>: <reason>`. Remove landed patches from `.aris/meta/pending/`. Remind the
user a landed patch is revertable from its backup, and to test the changed skill next run.
## Provenance is a receipt, not an acquittal of correctness
A stamp records that a change passed *a process* (cross-model jury at landing + human
landing), not that it is *correct*. To prevent "approved-but-wrong with a stamp that
vouches for it" (false-authority laundering — worse than no stamp, because a later
auto-curator reads it as evidence):
- The stamp carries `verdict_id` (auditable review) + `content_hash` (a later hand-edit
invalidates it).
- **Recommended (not yet built):** a TTL forcing re-review of long-lived auto-authored
artifacts, and a behavioral auditor that REVOKES a stamp when a landed skill misbehaves.
Track as follow-up; never treat a stamp as permanent truth.
## Key Rules
- **Human-invoked only.** Never run as a side-effect of another skill or a hook.
- **Jury-at-landing, reject-default, no override.** The binding verdict is produced HERE
on the staged diff; never trust a producer-written verdict; the human picks among
survivors, never resurrects a KILL.
- **Cross-family or refuse.** `assert_cross_family` must not raise. A
`deterministic:<verifier>` reviewer is valid per skill-governance.md.
- **Corpus mutation goes through Write/Edit** (reviewable, attributable), not Bash. The
`corpus_write_guard` hook (if installed) additionally denies Bash corpus writes — it
does NOT gate Write/Edit, so it does not by itself stop this skill from editing the
corpus; the jury-at-landing + stamp discipline above is what governs Write/Edit
mutations (that discipline is procedure, not a hook-enforced mechanism).
- **Back up before every mutation.** Reversible by construction.
- **Only land staged patches.** Applies what producers staged in `.aris/meta/pending/`;
invents nothing of its own.
## Review Tracing
Save each landing-jury codex call's trace per
[`review-tracing.md`](../shared-references/review-tracing.md) to
`.aris/traces/meta-apply/<date>_run<NN>/` — the acquittal that landed a corpus change must
be forensically recoverable.
© wanshuiyin · MIT · wanshuiyin/Auto-claude-code-research-in-sleep