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 highly actionable with executable examples, validation checkpoints, and strong failure-recovery guidance. Its main weakness is repeated emphasis of the public-URL constraint that could be consolidated for tighter token efficiency.
Suggestions
Consolidate the 'ref images must be PUBLIC URLs / proxy does not upload local files' guidance into a single authoritative spot (e.g. Inputs) and reference it briefly elsewhere rather than restating it four times.
Move the per-model pricing table into a references file or a clearly labeled 'as-of 2026-05' note so time-sensitive numbers don't clutter the core workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes competence with no concept padding, but the 'ref images must be PUBLIC URLs / proxy does not upload local files' point is repeated across Inputs, Workflow, Failure Modes, and References. | 4 / 5 |
Actionability | Copy-paste-ready bash commands cover the three main cases (text-to-image, edit-from-reference, gpt-image-2 custom size), with a concrete preflight block and a detailed failure-mode table with fixes. | 5 / 5 |
Workflow Clarity | A clear Preflight → Workflow → numbered script-behavior sequence with an explicit preflight validation gate and a failure-mode table providing feedback loops for error recovery. | 5 / 5 |
Progressive Disclosure | Well-organized sections with real, one-level-deep bundle references (media_proxy.py, generate.py, fal_helpers.py all exist) clearly listed; most detail is appropriately inline for a skill of this size. | 4 / 5 |
Total | 18 / 20 Passed |