The body is lean and assumes Claude's competence — it states rules and gives executable commands without explaining what a manuscript or a reporting guideline is, so every token earns its place.

Each workflow step ships copy-paste-ready, fully specified commands (e.g. 'python3 scripts/check_consistency.py consistency_manifest.json', 'python3 scripts/audit_claims.py manuscript.md claims.csv source_manifest.json'), matching the fully executable anchor.

The 12-step workflow is clearly sequenced with explicit validation checkpoints and feedback loops (e.g. resolve mismatches then re-run audits, 'Only when valid' approval gating), matching the clear-sequence-with-validation anchor.

SKILL.md is a concise overview with well-signaled one-level-deep references to verified files under references/, assets/, and scripts/, and a bundled-files index that aids navigation — no nested/deep references.

Lists multiple concrete actions — "Draft, revise, and audit scientific manuscripts or reports" plus explicit evidence provenance, reporting-guideline coverage, authorship accountability, confidentiality controls, and local consistency checks — matching the 'lists multiple specific concrete actions' anchor.

It clearly states both what it does (draft/revise/audit with provenance and checks) and when to use it via an explicit "Use for ... when scientific accuracy and traceability matter" clause, satisfying the 'both what AND when with explicit triggers' anchor.

It names natural domain terms (manuscript sections, references, declarations, tables, figures, submission preparation), but the phrasing is fairly formal and lacks common user-spoken variants like 'write a paper', 'submission', or 'citations', so it sits between the 'some relevant keywords' and 'good coverage' anchors.

The evidence-provenance and reporting-guideline-coverage niche with bundled local consistency checks is a clear, specialized domain unlikely to trigger for other skills, matching the 'clear niche with distinct triggers' anchor.