Content
90%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 high-quality, actionable workflow document with lean prose and concrete commands, paths, and patterns. The main gaps are the absence of an explicit validation feedback loop and some detail that could be externalized into reference files.
Suggestions
Add an explicit validate→fix→retry loop in Phase 6 (e.g., 'if make quality or pytest fails, review errors, fix the patch_gen_config, re-run make patchgen, then re-test').
Move the detailed VLM multimodal-metadata checklist and the patch-pattern reference into separate files under references/, keeping SKILL.md as an overview with one-level-deep links.
Include one minimal worked example of a *_patch_gen_config.py snippet so the central artifact is copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and dense: phase headers, numbered steps, concrete paths and commands, with no padding explaining concepts Claude already knows (FSDP, MoE, patchgen). Every token earns its place. | 5 / 5 |
Actionability | Gives concrete commands ('make patchgen', 'make quality', 'pytest tests/models/'), exact file paths and registry names, specific patch-pattern shapes, and explicit reference models to copy, making it fully actionable for an instruction-heavy skill. | 5 / 5 |
Workflow Clarity | A clearly sequenced six-phase workflow with TodoWrite status tracking and a dedicated Test phase running 'make quality' and 'pytest', but it lacks an explicit validate→fix→retry feedback loop. | 4 / 5 |
Progressive Disclosure | Well-organized into phases with one-level-deep signaled references ('.agents/knowledge/multimodal_metadata.md'), but some inline detail such as the VLM metadata checklist and patch patterns could be split into reference files; no bundle files exist. | 4 / 5 |
Total | 18 / 20 Passed |