Conciseness

The body is lean: short bullet lists, no concept explanations of what AI detection is, and it assumes Claude's competence throughout (e.g., 'Preserve the distinction between: deterministic detector evidence, model-only editorial observations...'). Minor trimming is possible — the evidence taxonomy is stated twice (Incoming and Produce) and the sentence 'This keeps interpretation terminal in the Skill graph and prevents reviewer-detector cycles' is rationale padding. Not 5 due to this repetition; well above 3 because there is no over-explanation of known concepts.

Actionability

For an instruction-only skill, guidance is concrete: named handoff mechanisms ('via ROUTE', 'via ESCALATE'), named envelope fields ('consequential_authorship_claim: true'), a named return reason ('fresh_signal_collection_needed'), and specific examples of probative evidence ('source history, drafts, revision logs, direct discussion with the writer'). It is not 5 because the substance of the interpretation lens (the actual evidence caveats and pattern guidance) is deferred to files not present, leaving the how-to-interpret detail thin. Not 3: the directives that are present are specific and executable.

Workflow Clarity

Six numbered steps are clearly sequenced, with guardrail checkpoints ('If an adequate audit is missing... return control to the router', 'Do not call the detector directly', 'Do not jump directly into rewrite') and an explicit stop condition plus return-loop description in Terminal behavior. Not 5 because there are no validation checkpoints on the skill's own output (e.g., how to verify the interpretation preserved evidence distinctions) and the return loop lacks an error-recovery path. Not 3: checkpoints and stop conditions are explicit, not implicit.

Progressive Disclosure

Sections are well organized and references are clearly signaled with exact paths ('../avoid-ai-writing/SKILL.md', '../avoid-ai-writing-router/references/handoff-contract.md', 'skill-graph.json', 'agency-role-lenses.md'), but none of these referenced files exist in the bundle or its sibling directories, and the bundle has no references/, scripts/, or assets/ of its own. The 'Authority' and 'AI-engineering evidence lens' sections delegate the skill's core substance to dangling references, so the body cannot navigate to the material it depends on. Better signaling than a 2, but the broken/missing reference targets keep it below 4.

Specificity

The description names the domain (AI-writing detector flag interpretation) and concrete behaviors like 'asks what AI-writing flags mean' and 'a careful interpretation of possible false positives', but the skill's actions are embedded in trigger phrasing rather than listed as capabilities. It is not a 4 because no several distinct concrete actions are stated, and not a 2 because the domain is specific with more than generic action language.

Completeness

The 'when' is explicit and strong ('Use when a user asks what AI-writing flags mean, whether detector output proves AI authorship...'), and the 'what' (careful interpretation of possible false positives for consequential decisions) is present but folded into the when-clause rather than stated as a leading capability statement. It is not 5 because a standalone 'what this skill does' statement is absent, and not 3 because both elements are effectively communicated.

Trigger Term Quality

Natural phrases users would say are present: 'AI-writing flags', 'detector output', 'AI authorship', 'false positives', plus decision contexts ('academic, hiring, publication, disciplinary'). It is below 5 because common variations like 'AI detector', 'AI detection results', or specific tool names are missing, and above 3 because coverage goes well beyond a couple of generic keywords.

Distinctiveness Conflict Risk

A clear niche (interpreting detector output as evidence vs. proof, for consequential decisions) with distinct triggers that separate it from running detection or rewriting text. Minimal overlap risk: phrases like 'whether detector output proves AI authorship' and 'interpretation of possible false positives' would not naturally trigger a detector or editing skill.