Content
93%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 tight, executable skill body with concrete commands, clear sequencing, and explicit write-safety validation via dry-runs and maintainer confirmation. The only gap is an explicit error-recovery feedback loop in the workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean throughout — short bulleted sections (Trigger, Stop Conditions, Gotchas, Acceptance) with no over-explanation of concepts Claude already knows; every section earns its tokens. | 5 / 5 |
Actionability | Standard Commands gives copy-paste-ready invocations ('python3 tools/agent/scripts/maintainer_board.py sync --milestone "<name>"', 'release-report --release-plan ... --write', 'create-issues ... --dry-run') covering the common cases. | 5 / 5 |
Workflow Clarity | Six-step workflow with explicit checkpoints (dry-run flags, 'Generate proposed actions only; do not mutate GitHub by default', 'Apply actions only after maintainer confirmation', Stop Conditions), but lacks an explicit error-recovery feedback loop (validate -> fix -> retry). | 4 / 5 |
Progressive Disclosure | Well-organized overview body with a 'Must Read' section of one-level-deep, clearly signaled references (maintainer-ops.md, maintainer-policy.yaml, .prowlabels.yaml, PULL_REQUEST_TEMPLATE.md) and no nested reference chains. | 5 / 5 |
Total | 19 / 20 Passed |