Content
92%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 with a well-sequenced, validation-rich workflow and clean progressive disclosure into real one-level-deep reference files. Only minor conciseness trimming is warranted.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean and instruction-dense — it does not explain what PostHog or logs are — but the opening framing paragraphs and a few dual prose-plus-table passages could be trimmed slightly. | 4 / 5 |
Actionability | Provides copy-paste-ready commands ('echo ... | python3 scripts/baseline_stats.py --window-minutes 5'), concrete tool calls, an executable defaults table, and example JSON for filter shape and script output. | 5 / 5 |
Workflow Clarity | Six steps are clearly sequenced (triage → narrow → baseline → draft/simulate → iterate → ship) with explicit validation via simulate, an iteration band (0–3 fire_count) with an adjustment table, a 3-call cap, and a destination-confirmation safeguard. | 5 / 5 |
Progressive Disclosure | SKILL.md is an overview with one-level-deep, clearly signaled references (threshold-defaults.md, volume-floor-alerts.md) and a script for the math; verified that the referenced bundle files exist and are single-level. | 5 / 5 |
Total | 19 / 20 Passed |