Content
86%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 dense, actionable runbook with executable CLI commands, clear sequenced workflow, and excellent progressive disclosure into real reference files. The only notable weakness is mild repetition of model-resolution rules that could be tightened for token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean and operational with no basic-concept padding, but model-resolution guidance ('resolve the model', 'do not silently switch models') recurs across the Operating loop, Model choice, and Key/cost sections and could be consolidated. | 4 / 5 |
Actionability | Provides copy-paste-ready bash CLI invocations with explicit flags, a launcher resolution chain, a complete flags table, and an endpoint-routing table — fully executable guidance covering the common cases. | 5 / 5 |
Workflow Clarity | An explicit 8-step Operating loop plus a Verification section with preflight and post-call checkpoints; error handling is 'report and stop' rather than a validate-fix-retry loop, leaving a minor validation gap relative to the top anchor. | 4 / 5 |
Progressive Disclosure | The body is a clear overview with well-signaled, one-level-deep references (gallery.md, gallery-*.md, craft.md, models.md, openai-image-2.5-*.md, templates-gpt-image-2.5.md), all verified to exist, with bulk detail appropriately split into reference files and navigable via the Reference loading section. | 5 / 5 |
Total | 18 / 20 Passed |