Content
52%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.
The skill has a genuinely clear workflow (sequenced steps, explicit input-validation checkpoint, well-signaled one-level-deep references that all exist) and a concrete output template. Its main weaknesses are severe cross-section redundancy that inflates token cost, abstract writing directives with no worked example, and body content duplicating the reference files instead of pointing to them.
Suggestions
Consolidate the redundant sections (Task, Core Function, What This Skill Should Not Do, Quality Standard, and the repeated clarify/restate rules) into one statement each — the body could shrink by more than half.
Add one short worked example: a small sample table excerpt paired with a strong narrative draft and a weak line-by-line version, so the abstract selection directives become concrete.
Move the inlined Hard Rules and clarification-first content into their existing reference files (references/hard-rules.md, references/clarification-first-rule.md) and keep only a one-line pointer plus the few overriding rules in SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is heavily padded by repetition: the clarify-before-narrating rule appears in 'Task' (#6), 'Input Validation', 'Execution Step 1', output sections A and H, and Hard Rule 9; the don't-restate-every-number rule appears in the intro, Task #3, Scope Boundary, Important Distinctions, Core Function #4, Step 4, Hard Rule 2, 'What This Skill Should Not Do', and 'Quality Standard'; and 'Task', 'Core Function', 'What This Skill Should Not Do', and 'Quality Standard' sections largely restate each other. It does not explain concepts Claude already knows (so not anchor 1), but it has many unnecessary duplicated sections, matching 'noticeably verbose; several unnecessary explanations or padded sections' — the body could be cut by more than half without losing information. | 2 / 5 |
Actionability | There is concrete guidance — the mandatory A–H output structure and the seven sequenced execution steps give Claude an executable template — but the core writing instructions are largely abstract directives ('identify the table's scientific message', 'select the most narratively valuable points') with no worked example of a good vs. weak table narrative, no example of how a row becomes prose, and no sample output. For an instruction-only writing skill, that missing demonstration is the key gap, placing it at 'some concrete guidance but incomplete' rather than 'mostly executable with minor gaps'. | 3 / 5 |
Workflow Clarity | Steps 1–7 are clearly sequenced, Step 1 is an explicit input-validation checkpoint with a loop (ask for missing context before narrating), and the output structure embeds checks (Section A 'Input Match Check' and Section G 'Boundary Check'). Not score 5 because there is no true feedback/verify-and-fix loop on the produced narrative itself — the boundary check is a one-pass assertion, not a re-validation cycle. Not score 3 because checkpoints are explicitly present, not merely implicit; the operation is also not destructive or batch-oriented, so no hard cap applies. | 4 / 5 |
Progressive Disclosure | The 'Reference Module Integration' section cleanly signals all seven reference files, each exists in references/, and the files are one level deep with no nested references inside them (verified). However, the body is not an appropriately slim overview: it inlines substantial content that duplicates the reference files (the full Hard Rules list despite references/hard-rules.md, and the clarification-first rule despite references/clarification-first-rule.md), which is exactly the 'content that should be separate is inline' gap that keeps it below the anchor 5 'content appropriately split' bar. | 4 / 5 |
Total | 13 / 20 Passed |