Content
70%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 body delivers a genuinely useful, well-sequenced editing methodology with explicit validation loops and concrete examples. Its two real defects are token waste — the word-level tables and the checklist section restate common editing knowledge and duplicate the sweep definitions — and a broken bundle: three referenced files (two scripts, one reference) do not exist.
Suggestions
Ship the referenced bundle files (scripts/readability_scorer.py, scripts/ai_content_detector.py, references/plain-english-alternatives.md) or remove the references — as delivered, two process steps and the References section point at nonexistent paths.
Cut the ~55-line Copy Editing Checklist section: it restates each sweep's 'What to check' items almost verbatim; the per-sweep 'After this sweep' loop-backs already provide the verification role.
Move the word-level 'Cut these words' / 'Replace these' tables into references/plain-english-alternatives.md and keep only a one-line pointer — they are standard editing knowledge Claude already has.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The Seven Sweeps framework, the So What test, and the Prove It evidence types are genuinely additive methodology, but roughly 115 lines restate knowledge Claude already has — the word-level tables ('Utilize → Use,' avoid passive voice, max 25 words per sentence) and a 55-line checklist that duplicates each sweep's 'What to check' list almost item for item. | 3 / 5 |
Actionability | Each sweep ships a numbered Process, a ❌/✅ before/after example, vague→specific tables, and two runnable commands ('python3 scripts/readability_scorer.py --file draft.md', 'python3 scripts/ai_content_detector.py draft.md --json'), making the guidance mostly executable. It falls short of fully executable because those referenced script files are absent from the bundle, so the commands cannot run as shipped. | 4 / 5 |
Workflow Clarity | The workflow is explicitly sequenced ('seven sequential passes') with a per-sweep loop-back protocol ('After this sweep: Return to...'), explicit validation checkpoints ('re-run the scorer; the Flesch score should improve, not regress'), a full checklist, and a termination condition ('Repeat until clean'). This matches the anchor for clear sequence with explicit validation, feedback loops, and checklists; the skill is non-destructive so the missing-validation cap does not apply. | 5 / 5 |
Progressive Disclosure | The body is well-sectioned and its References section is clearly signaled, but the bundle contains only SKILL.md: scripts/readability_scorer.py, scripts/ai_content_detector.py, and references/plain-english-alternatives.md are all referenced yet absent, breaking navigation. The inlined word-replacement tables duplicate exactly the content the missing reference was meant to hold. | 3 / 5 |
Total | 15 / 20 Passed |