meta-apply — Claude Code skill: what it does, how to install
Applies approved self-modification patches to the skill corpus after independent model jury review. Runs only when explicitly invoked by a human.
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a claude-codeWhat meta-apply does
This skill establishes a strict privilege boundary during agent optimization. Upstream producers like /meta-optimize operate strictly in read-only mode and stage candidate diffs in .aris/meta/pending/. No producer can land its own changes. Real corpus modifications happen only through meta-apply.
Before writing any changes, the skill initiates a fresh cross-model jury via mcp__codex__codex with paths-only context. It ignores pre-screen verdicts in the producer manifest because manifests can be forged. The helper script provenance.py ensures the reviewer belongs to a different model family than the author. If the jury issues a KILL verdict or model families match, landing halts immediately.
Operation requires reviewer MCP tools and the provenance.py helper in your path. The skill backs up target files to .aris/meta/backups/, applies changes with Write or Edit, and stamps provenance metadata. Direct corpus edits via Bash are blocked by design.
What it helps with
- prevent unauthorized self-modification loops from mutating skill files
- verify staged diff patches through an independent cross-model jury
- enforce cross-family model separation between patch author and reviewer
- record provenance receipts and backups before altering the skill corpus
Example prompts for the agent
- /meta-apply 1,3
- land the staged patches
- /meta-apply all
How to install meta-apply
1Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a claude-code2Manually: put the files in place
~/.claude/skills/meta-apply/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/meta-apply/
1Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a codex2Manually: put the files in place
.agents/skills/meta-apply/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a cursor2Manually: put the files in place
.cursor/skills/meta-apply/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install wanshuiyin/Auto-claude-code-research-in-sleep meta-apply2Manually: put the files in place
.github/skills/meta-apply/SKILL.md1Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a gemini-cli2Platform CLI
gemini skills install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --path skills/meta-applyManually: put the files in place
.devin/skills/meta-apply/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about meta-apply
How do I install meta-apply in Claude Code?
Run npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-apply -a claude-code in your terminal.
What is the purpose of meta-apply?
It serves as the privileged landing gate for staged patches, ensuring producer tools cannot directly edit the skill corpus.
What happens if the jury rejects a patch?
If the reviewer returns a KILL verdict, the patch is refused immediately, and human overrides are not permitted.
Source text
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