Content
92%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.
Excellent content: fully executable hosted and local workflows with explicit validation checkpoints and an error-to-fix troubleshooting map, wrapped in a clean progressive-disclosure structure over five well-signaled reference files. The only trim opportunity is the redundancy between the Payload gotchas and Common Limits sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and code-heavy with almost no concept explanation Claude already knows, but the 'Common Limits' section repeats values already stated in 'Payload gotchas' (inputs 1, molecules 1-32, diffusion_samples 1-5) and the preflight-contract paragraph could be tightened slightly. | 4 / 5 |
Actionability | Fully executable guidance throughout: a copy-paste-ready bash preflight and docker run command, a readiness-check loop, a complete Python request with a full payload, and output-saving code, plus concrete gotcha examples covering ligands ('ccd_codes': 'ATP') and DNA sequences. | 5 / 5 |
Workflow Clarity | A clear sequence (choose mode, auth/environment, local Docker, readiness check, request, save/interpret) with explicit validation checkpoints ('until curl -sf http://localhost:8000/v1/health/ready', 'response.raise_for_status()') and a troubleshooting section that maps each error (401/422/local 404/MSA/memory) to cause and fix, forming explicit feedback loops. | 5 / 5 |
Progressive Disclosure | The body opens with a per-file map of all five real references/*.md files with one-line purpose descriptions and 'load supplemental files only when the task needs deeper context', references are one level deep (verified on disk), and the body keeps only the working quickstart plus key gotchas. | 5 / 5 |
Total | 19 / 20 Passed |