Content
78%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, actionable skill body that uses progressive disclosure effectively and sequences its multi-stage workflow with appropriate safeguards. Slightly verbose in a few explanatory asides and could expose more complete call signatures.
Suggestions
Trim justificatory asides (e.g., 'This keeps onboarding conversational...') to improve token efficiency.
Add complete MCP call signatures for the stage checks, not just entries_list, to close the actionability gaps.
Add an explicit validate->fix->retry loop for transport/credential failures to strengthen the workflow feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude's competence, with tables and code blocks for thresholds/signals; a few justificatory sentences ('This keeps onboarding conversational...', 'This keeps context usage proportional...') could be trimmed. | 4 / 5 |
Actionability | Provides concrete, executable guidance such as 'entries_list({ diary_id: DIARY_ID, limit: 50 })', 'mcp__<AGENT_NAME>__*', and CLI credential flags, with a precise stage-classification table; minor gaps in full MCP call signatures. | 4 / 5 |
Workflow Clarity | Execution flow is clearly sequenced (resolve agent, stage 1/2/3-4 checks) with a stage re-detection feedback loop and explicit confirmation safeguards on destructive writes; the validate->fix->retry loop is mild (mainly the transport MCP->CLI fallback). | 4 / 5 |
Progressive Disclosure | Clear overview that defers stage-specific detail to four real one-level-deep reference files (all present in ./references/), with an explicit 'only load the reference file for the detected stage' rule for easy navigation. | 5 / 5 |
Total | 17 / 20 Passed |