Content
80%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 is highly actionable and well-structured with concrete thresholds, executable commands, and properly signaled one-level-deep bundle references. The main weakness is workflow clarity: the run-to-drill-down flow is implicit with no explicit numbered steps or validation checkpoints.
Suggestions
Add an explicit numbered workflow (e.g., 1. Gather metrics → 2. Run scorer → 3. Review traffic-light dashboard → 4. Drill into red/yellow dimensions → 5. Apply recommended actions) with a checkpoint for confirming metric coverage before scoring.
Trim the Keywords list and shorten the inlined dashboard mock-up, or move the full dashboard template into a reference file to improve token efficiency.
Add a brief validation/feedback note for the drill-down step, e.g. re-score after acting on a red dimension to confirm improvement.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and benchmark-dense without explaining concepts Claude already knows; the punchy intro and metric thresholds earn their tokens. Kept below 5 by the padded Keywords list and the lengthy inlined dashboard mock-up. | 4 / 5 |
Actionability | Provides copy-paste-ready CLI commands ("python scripts/health_scorer.py --json"), concrete Green/Yellow/Red thresholds per metric, and a full output template. Specific examples cover the common single-dimension and full-diagnostic cases. | 5 / 5 |
Workflow Clarity | The sequence (invoke scorer → review traffic-light dashboard → drill into top priorities) is present but implicit rather than numbered, with no explicit validation checkpoints or feedback loops. Not below 3 because the operation is read-only so the destructive/batch validation cap does not apply; not 4 because no explicit steps or checkpoints are stated. | 3 / 5 |
Progressive Disclosure | Clear overview in SKILL.md with well-signaled, one-level-deep references to real bundle files ("references/health-benchmarks.md" for stage weights, "scripts/health_scorer.py" for scoring), and content is appropriately split between overview and reference. Easy to navigate. | 5 / 5 |
Total | 17 / 20 Passed |