Content
88%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 strong, actionable workflow with explicit validation checkpoints and repair feedback loops, and it correctly delegates implementation to a bundled script. The only modest gap is progressive disclosure, since all reference material lives in the single helper script with no dedicated advanced-topic documents.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and task-focused with no over-explanation of basic concepts; the exhaustive Standards preservation lists are concrete guidance but could be tightened slightly. | 4 / 5 |
Actionability | Provides copy-paste bash commands, a concrete MCP upload call, specific required output filenames, and a problem->fix Repairs table covering common failure cases. | 5 / 5 |
Workflow Clarity | Six clearly sequenced steps with an explicit validation gate ("Do not upload until preflight_checks.json has status: 'passed' with zero errors"), a dedicated Validate step, and a Repairs feedback loop for error recovery. | 5 / 5 |
Progressive Disclosure | SKILL.md serves as a clean overview with implementation appropriately pushed to a real one-level-deep bundled script (scripts/report_to_google_doc_plan.py and package), but there are no separate reference docs with signaled navigation links to elevate it further. | 4 / 5 |
Total | 18 / 20 Passed |