Content
80%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 concise and well-structured with concrete payload and contract details, and the executable code is appropriately delegated to a one-level-deep bundle script. The main weakness is the absence of an explicit batch-image validation/retry loop, which caps workflow clarity.
Suggestions
Add an explicit per-image validation step and a validate→fix→retry loop for the batch (max-images) path so workflow clarity can exceed the batch cap of 3.
Include one short in-body invocation or output snippet (e.g. a sample IMAGE_READY: line) to make the body more directly copy-paste actionable.
Spell out what happens when an individual image in a batch fails while others succeed, so error recovery for batch generation is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient with no padded explanation of concepts Claude already knows; every section earns its place and assumes Claude's competence. | 5 / 5 |
Actionability | Concrete behavioral guidance (JSON payload example, slot semantics, exit codes) but no in-body copy-paste code; the executable logic lives in the bundled script referenced via the entrypoint, leaving minor gaps. | 4 / 5 |
Workflow Clarity | The contract lists a pre-submission checkpoint (missing lease exits 78) and failure handling, but batch image generation (max-images) lacks an explicit validate→fix→retry feedback loop, capping a batch operation at 3. | 3 / 5 |
Progressive Disclosure | Well-organized into Contract / Payload Mode / Plain Prompt Mode with the executable logic one level deep in scripts/openrouter_image.py via the entrypoint; structure is clear and easy to navigate. | 5 / 5 |
Total | 17 / 20 Passed |