Content
86%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 well-structured, highly actionable persona skill body with executable tooling, a clear workflow, and excellent progressive disclosure through real reference and asset files. The main weakness is moderate redundancy of the operating-voice rules across multiple sections.
Suggestions
Consolidate the counterargument-first / no-disclaimers / confidence-level rules so they appear once authoritatively (in the operating prompt section) and are merely referenced elsewhere, reducing token redundancy.
Add a brief explicit verification note for the script verdicts (e.g., 're-run with adjusted inputs if a score is borderline') to strengthen the workflow's feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational with no generic-concept padding Claude already knows, but the counterargument-first / confidence-level rules are restated across the operating prompt, workflow step 4, and the Hard Rules section, adding redundant tokens even if the reinforcement is intentional for a persona skill. | 4 / 5 |
Actionability | Provides copy-paste-ready, fully executable commands with realistic arguments (e.g., 'python scripts/market_first_evaluator.py --size 8 --growth 7 --timing 9 --pull 8 --team 6 --product 5'), a routing table mapping intents to scripts, and forcing questions each with recommended answers — covering the common cases. | 5 / 5 |
Workflow Clarity | A clear sequenced workflow (detect/route → forcing-question interrogation → run tools → deliver verdict) with commit-checkpoints ('make the user commit to each before moving on') and mandatory confidence levels; the deterministic scripts encode validation, but there is no explicit validate→fix→retry loop, which is acceptable here since the operations are decision-making rather than destructive/batch. | 4 / 5 |
Progressive Disclosure | Clear overview with well-signaled, one-level-deep references to verified bundle files (references/*.md canon, assets/*.md templates, scripts/*.py tools), each described in organized tables, with content appropriately split across files. | 5 / 5 |
Total | 18 / 20 Passed |