Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, highly actionable exploration workflow with clean one-level-deep progressive disclosure and explicit feedback loops. Its only weakness is moderate verbosity from per-step status messaging and an oversized worked example.
Suggestions
Collapse the repeated 'Tell the user: Step X/6...' status lines into a single convention statement (e.g. 'Announce each step as Step N/6: <short status>') to remove ~6 duplicated blocks.
Shorten the Step 1 worked example to a 3–4 line path-evaluation excerpt instead of the full 14-line example plus full plan, since the format is self-evident.
Add a brief completeness check after Step 4 (e.g. confirm each plan item returned a non-empty result before Step 5 synthesizes), to close the gap between subagent execution and report synthesis.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly directive and assumes Claude's competence with little concept padding, but repeated 'Tell the user: Step X/6...' blocks and the very long worked example in Step 1 add length that could be trimmed. | 2 / 3 |
Actionability | Names exact MCP tools (get_entity_details, list_module_dependencies, get_jdbc_entity_details), provides a copy-paste subagent prompt with a concrete secret-redaction key list, and gives stack-based routing decisions — fully executable, not pseudocode. | 3 / 3 |
Workflow Clarity | Steps 0–6 are clearly sequenced with explicit no-tool checkpoints, a redaction validation step, and a genuine feedback loop in Step 6 (score >80 → repeat Step 1; ≤80 → stop). | 3 / 3 |
Progressive Disclosure | SKILL.md is a lean overview and each of the 10 reference files is linked exactly once via a clear 'Selected path → Reference to load' table, all one level deep with easy navigation. | 3 / 3 |
Total | 11 / 12 Passed |