Content
82%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tight, highly actionable headless-skill body: deterministic rules, exact output literals, and a complete JSON Schema leave little ambiguity about what to produce. Remaining polish is minor — deduplicate the 'addressed by name' rule, drop the stray markdown-skills aside, and add an explicit final check that the reply validates against the schema.
Suggestions
Deduplicate the name-attribution rule: state 'being addressed by name never names anyone' once and have the user_note rule reference it, instead of repeating the full rule with examples in both sections.
Remove the irrelevant aside '(for markdown skills, headings with "None." under each)' — this skill always outputs a JSON object, so the markdown fallback only adds confusion.
Add an explicit final validation step, e.g., 'Before replying, check the JSON object against the schema above (required keys, no extra keys, confidence within 0-1).'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, rule-per-line, and assumes Claude's competence (no concept explanations), fitting 'efficient; minor instances of over-explanation that could be trimmed'. Trim points: "Being addressed by name never names anyone" is stated twice (general rules and the user_note rule), and the aside "(for markdown skills, headings with 'None.' under each)" is irrelevant to this JSON-output skill. It is not 5 because of this redundancy, and not 3 because the padding is minor against an otherwise lean body. | 4 / 5 |
Actionability | Guidance is fully executable for an instruction-only skill: exact output literals ("list it as {\"speaker\":\"You\",\"name\":\"\",\"confidence\":1}"), explicit joining semantics ("Join context_lines with spaces"), deterministic correction handling ("a correction that explicitly names a speaker ('Speaker 2 at 15:00 is Maya') names that speaker, with confidence 1"), empty-input behavior, and a complete JSON Schema for the output. Specific examples cover the common cases, matching the anchor-5 example's completeness. | 5 / 5 |
Workflow Clarity | The single task is unambiguous and correctly sequenced: read only the named file, "If the file is long, read it in parts (offset/limit) until you have read all of it, then answer", then "Reply with ONLY one JSON object matching the schema below" — the schema serves as the output checkpoint. It sits just below the anchor-5 simple-skill case because there is no explicit final self-validation step (e.g., verify the reply against the schema before sending); it is above 3 because the sequence has no gaps. The operation is read-only, so the destructive/batch cap does not apply. | 4 / 5 |
Progressive Disclosure | Sections are well organized (intro, Rules, Input, skill-specific rules, Output schema) with no nested or buried references, and no bundle files exist to mislink — matching 'good structure; most content is appropriately placed; minor organization gaps'. It is not 5 under the under-50-lines exception because the body runs ~100 lines, driven by the inline JSON schema; keeping that schema inline is defensible for a headless skill, but it is the one block that could live in a separate file. | 4 / 5 |
Total | 17 / 20 Passed |