The body is dense and mostly efficient but carries notable padding — the verbose privilege-boundary essay ('This split is structural, not advisory...', the extended blacklist-vs-sandbox hedging, 'over-built for a not-yet-load-bearing producer, so deferred...') and repeated restatements of the no-apply rule could be tightened; not score 3 because several passages hedge and restate rather than earning every token, and not score 1 because much of the prose is genuinely novel skill-specific methodology rather than concepts Claude already knows.

Provides concrete executable code throughout — the Step-0 bash availability check, the Step-1.5 python3 json.dumps heredoc, a concrete unified diff example, and a populated mcp__codex__codex call with config — copy-paste ready; not score 2 because the operational scripts are executable rather than pseudocode (the [paste original]/[today] tokens are clearly report-template fill-ins).

Steps are clearly sequenced (0→1→1.5→2→3→4→5→6) with explicit validation checkpoints — Step 0 exits on insufficient data, Step 4 cross-model reviews each patch, Step 6 stages only after user approval — and feedback loops for error recovery; the destructive corpus mutation is deliberately deferred to /meta-apply with a fresh jury, so the workflow is not capped at 2.

References to deeper materials are present and clearly signaled via one-level-deep markdown links (acceptance-gate.md, capture-antipatterns.md, the output-protocol refs), but the SKILL.md itself is a ~414-line monolith with large inline blocks (the privilege-boundary essay, the Event Schema Reference) that could live in separate files; not score 3 because content that should be separate is largely inline, and not score 1 because references are clearly signaled rather than deeply nested.

Lists multiple concrete actions on named targets — 'Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults' — matching the score-3 anchor 'Lists multiple specific concrete actions'; it is not the level below because it goes beyond naming only a domain and a couple of actions.

Clearly answers both what ('Analyze ARIS usage logs and propose optimizations...') and when ('Use when user says...') with an explicit trigger clause; not score 2 because the 'Use when' trigger is present rather than merely implied.

Provides explicit natural trigger phrases users would say — '优化技能', 'meta optimize', 'improve skills', '分析使用记录' — giving good coverage of natural terms; not score 2 because common variations are present rather than missing.

Occupies a clear niche (outer-loop harness optimization for ARIS) with distinct bilingual trigger phrases unlikely to fire for unrelated skills; not score 2 because the triggers are specific rather than broadly overlapping.