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.
The body is a well-structured, highly actionable overview: an executable reference recipe, a mandatory reward-inspection gate with a feedback loop, and clean one-level-deep reference files. The only weakness is minor repetition of routing context and reference pointers that could be tightened.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient — decision rules like "DPO for taste, GRPO for reasoning" and the num_generations floor earn their tokens — but there is minor redundancy: routing context is repeated in the intro and Related skills, and references/reward-functions.md is pointed to three separate times, which could be trimmed. | 4 / 5 |
Actionability | A complete, executable GRPOConfig/GRPOTrainer snippet with settled kwarg values, a concrete success-rate decision tree (never succeeds → SFT; sometimes → proceed), and a failure-mode→variant selection table give copy-paste-ready guidance covering the common cases. | 5 / 5 |
Workflow Clarity | The sequence (routing check → applicability → recipe → inspection gate → variant selection) is explicit, and the 50–100-sample reward inspection is framed as a mandatory gate with a feedback loop ("If the reward function's judgment disagrees... fix the reward function first") before any training run. | 5 / 5 |
Progressive Disclosure | The SKILL.md is a concise overview with two one-level-deep references (references/grpo-memory.md and references/reward-functions.md, both present on disk), each clearly signaled in a References section with a description of its contents, and bulk detail is appropriately split into those files. | 5 / 5 |
Total | 19 / 20 Passed |