Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is tight, actionable, and well-structured with verified bundle references, but its batch workflows omit explicit validation/verification checkpoints before emitting weight adjustments. Adding a verify step before writing feedback would close the gap.
Suggestions
Insert an explicit validation checkpoint in Step 4 (e.g., verify postmortem count meets the 20-signal minimum before generating weight feedback, and confirm suggested weights against current config).
Add a short feedback loop after recording outcomes (validate classification against provided exit-price/exit-date before persisting) to support error recovery.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operational — executable commands, schema examples, and brief sections — with no padding explaining concepts Claude already knows; the Overview's mild overlap with the description is the only slack. | 3 / 3 |
Actionability | Provides fully executable bash commands with real flags and paths, plus complete JSON/YAML output schemas that are copy-paste ready. | 3 / 3 |
Workflow Clarity | Five steps are clearly sequenced, but batch operations (recorder, analyzer emitting weight adjustments) lack explicit validation checkpoints, capping workflow clarity at 2 per the batch-operation guideline. | 2 / 3 |
Progressive Disclosure | Overview in SKILL.md points to two real one-level-deep references and two scripts, each clearly signaled in the Resources section; all referenced bundle files exist. | 3 / 3 |
Total | 11 / 12 Passed |