Content
90%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 operational skill with concrete commands, query examples, and safety guidance. Minor gains available from spelling out the dry-run feedback loop and splitting reference lists into a bundled file.
Suggestions
Make the validate->fix->retry loop explicit in the dashboard and monitor workflows (e.g., 'If --dry-run reports errors, fix the JSON and re-run --dry-run before applying').
Move the log/trace field and metric reference lists into a references/ file (e.g. FIELDS.md) and link to it from the body to sharpen the overview.
Add an explicit verify step to the monitor apply workflow mirroring the dashboard workflow's 'verify the dashboard loads' checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient with no padding or explanation of concepts Claude already knows; lists are domain-specific reference data (MoltNet fields, metrics) that earn their tokens. | 5 / 5 |
Actionability | Provides copy-paste-ready apply commands with token/env placeholders plus concrete APL/MPL examples and specific normalization rules covering the common cases. | 5 / 5 |
Workflow Clarity | Query and dashboard workflows are clearly sequenced with checkpoints (dry-run first, verify dashboard loads, monitor checklist), but an explicit validate->fix->retry feedback loop is only implied rather than spelled out. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections with no nested references and easy navigation, but the inline field/metric reference lists could be offloaded to a reference file for a cleaner overview. | 4 / 5 |
Total | 18 / 20 Passed |