The body is operational and free of basic-concept padding, but at ~200 lines it duplicates the seven-field list between the Step 2 spawn prompt and Step 3 parse template, and the Step 5 bash block carries verbose inline comments that could be tightened.

Provides concrete executable guidance — real W&B (`wandb.Api().run(...).history()`) and ssh calls, a complete `spawn_agent` prompt schema, and copy-paste-ready `python3 research_wiki.py` commands with specific flags — rather than vague direction.

Steps are clearly sequenced (Collect → Codex Judgment → Parse → Integrity check → Route → Wiki) with explicit validation (integrity_status fail/warn downgrades confidence), a partial→supplement→re-run feedback loop, and explicit edge-case handling (unavailable reviewer, unreachable wiki script).

No bundle files exist; the external refs that are present (`shared-references/experiment-integrity.md`, `../shared-references/review-tracing.md`) are well-signaled and one-level-deep, but the large inline Step 5 bash block and spawn prompt are content that could be split into reference files.

Names multiple concrete actions — "judge what claims the results support, what they don't, and what evidence is still missing", "evaluates results against intended claims", and "routes to next action (pivot, supplement, or confirm)" — matching the score-3 anchor of several specific concrete actions.

Explicitly answers both what (judge/evaluate/route results vs intended claims) and when (two explicit "Use when/Use after" clauses), so it is not capped at 2 by the missing-trigger guideline.

Includes natural researcher phrasing ("Use when experiments complete", "Use after experiments finish — before writing the paper or running ablations", "claims", "evidence is still missing") that a user would naturally say, giving good coverage rather than jargon-only terms.

It carves a clear research-specific niche (post-experiment claim gating with pivot/supplement/confirm routing) with distinct triggers unlikely to fire for unrelated skills.