Conciseness

The ~30-line body is lean, assumes Claude's competence (no explanations of what markdown or tokens are), and has no padded sections. It falls just short of anchor 5 because both reference files are linked twice (inline in Workflow and again in the References section) and the 'When to Use' bullets partially restate the description's triggers — minor redundancy that could be trimmed.

Actionability

Concrete, executable guidance throughout: a specific token heuristic ("~4 chars = 1 token"), a defined scan scope ("emojis, verbosity, duplication, large blocks"), and specified output formats ("Table with location, issue, fix, savings estimate"; "Current/potential/savings"). It is short of anchor 5 only because no ready-to-run command or worked example is given for the token count itself.

Workflow Clarity

The four-step sequence (Count → Scan → Suggest → Summary) is clearly ordered, each step has a defined output (report totals, table, summary with top recommendations), and the destructive/batch validation cap does not apply since the skill is explicitly read-only ("Suggest only (no auto-modification)"). As a simple, single-purpose skill under 50 lines with an unambiguous process, it fully meets the simple-skill exception.

Progressive Disclosure

The body is a concise overview with pattern catalogs appropriately split into two real, one-level-deep bundle files (references/ANTI-PATTERNS.md and references/OPTIMIZATION-PATTERNS.md), each clearly signaled and described in the References section. The 'references/API.md' mentions inside those files are inside before/after code-fence examples, not nested navigation, so navigation stays one level deep and easy.

Specificity

"Analyzes markdown files for token efficiency" names the domain plus one concrete action, matching anchor 3, but it omits the skill's core deliverables (suggesting fixes, estimating savings), so coverage is not comprehensive. It is above anchor 2 because the stated purpose ('token efficiency') is more informative than a bare 'Processes PDF files'-style verb, yet below anchor 4 because no list of specific actions is present.

Completeness

Both 'what' ("Analyzes markdown files for token efficiency") and 'when' (an explicit "TRIGGERS:" clause with concrete trigger phrases) are present, and the equivalent trigger guidance satisfies the 'Use when...' requirement. It does not reach anchor 5 because the 'what' half is a single thin action clause, unlike the multi-action anchor-5 example.

Trigger Term Quality

The TRIGGERS list contains many natural user phrases — "optimize markdown, reduce tokens, token bloat, too many tokens, make concise, shrink file, file too large, verbose markdown, reduce file size" — giving good keyword coverage. It falls short of anchor 5 because synonyms like 'trim', 'condense', or 'shorten' and file extensions (.md, SKILL.md) are absent.

Distinctiveness Conflict Risk

The markdown/token niche is clear with distinct triggers like "optimize markdown", "token bloat", and "verbose markdown". A few generic phrases ("make concise", "file too large", "optimize for AI") create minor overlap risk with general editing/conciseness requests, keeping it below anchor 5 but above anchor 3.