The body is lean and assumes Claude's competence — Principles and Boundaries are terse bullets, and no space is spent explaining basic concepts, so every section earns its tokens.

As an instruction skill it gives concrete, specific guidance — named scope choices, ordered evidence-collection steps, specific paths (SKILL.md, references/, scripts/, agents/openai.yaml), and a concrete weak-vs-strong name example — so actionability is high without code.

A clearly sequenced six-step Workflow with explicit verification feedback loops ('rerun Tessl, and report what improved', 'still run plugin lint and the repo's normal skill gate') matches the score-3 anchor.

The SKILL.md is a concise overview that points to well-signaled, one-level-deep references (scorecard.md, best-practices.md, tessl.md), each described in the References section, with detail appropriately split out.

Lists multiple concrete actions — 'Audit, score, or improve existing skills', 'metadata checks, repo conventions, and skill-authoring best practices', and comparing against AGENTS.md/CLAUDE.md/repo rules — matching the score-3 anchor.

Explicitly answers both what (audit/score/improve skills via Tessl output, metadata, conventions) and when via an explicit 'Use when...' clause with concrete triggers.

Covers natural phrasings a user would say: 'creating or revising a skill', 'asking why a skill did not activate', 'checking skill quality', 'preparing a skill for publish', with good breadth of variations.

Clear skill-auditing niche reinforced by an explicit 'Do not use to verify general application code or to rewrite unrelated docs' boundary, making false activation unlikely.