Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The SKILL.md body is a well-structured overview: lean prose, a concrete surface decision tree pointing to four real reference files, a sequenced workflow with a validation checkpoint, and an output schema plus checklist. It avoids verbosity and concept re-explanation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean, assumes competence (no explanation of what capsules or rendering libraries are), and every section earns its place; it avoids the concept-explanation padding the rubric penalizes. | 3 / 3 |
Actionability | As an instruction-only skill it gives concrete, specific guidance: named source files (AgentCapsule.tsx, status-colors.ts), explicit palette assignments (idle/active gray, running blue pulse, paused amber, error red blink), a surface decision tree, and a concrete output schema, which is actionable without code. | 3 / 3 |
Workflow Clarity | The Implementation Workflow is a clear 6-step sequence with an explicit validation checkpoint (step 5: verify it still reads as agent-related, remove decoration) plus a separate Validation Checklist, matching the anchor for sequenced steps with validation. | 3 / 3 |
Progressive Disclosure | The body is an overview that signals four one-level-deep reference files (all present in references/), each introduced with a "Read ... before ..." cue and summarized in a References section; content is appropriately split rather than inlined. | 3 / 3 |
Total | 12 / 12 Passed |