Content
81%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 a well-sequenced orchestration recipe with strong workflow clarity, concrete sub-agent prompts, explicit validation checkpoints and feedback loops, and efficient procedural prose; its only weak spot is a monolithic single-file structure with no progressive disclosure of detail into reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense procedural control with no concept-padding and assumes Claude's intelligence; minor redundancy (scope-envelope and coverage-disposition language restated across steps) keeps it just below the lean anchor of 5. | 4 / 5 |
Actionability | Provides concrete sub-agent prompts with exact subagent_type, named field mappings, a mechanical-extraction instruction, expected JSON outputs, and enumerated quality-check checklists; placeholders like [user-reported problem verbatim] are inherent to dynamic input, leaving minor gaps versus copy-paste-ready. | 4 / 5 |
Workflow Clarity | Steps 0-7 are explicitly ordered with an Execution Gate, Step 2 is an explicit quality-check checklist, Step 4 defines a convergence feedback loop (re-investigate named gaps then re-verify), and a Completion Criteria checklist closes the process, matching the anchor for explicit validation with feedback loops and checklists. | 5 / 5 |
Progressive Disclosure | No bundle files exist and the single SKILL.md is well-organized with clear headers and no nested references, but at ~260 lines it is monolithic with report templates and checklists inlined rather than split into reference files, keeping it below the one-level-deep reference anchor of 5. | 4 / 5 |
Total | 17 / 20 Passed |