Conciseness

Terse expert voice ("Priors, not rules", "SFT-then-RL is not a law") that assumes competence and never re-explains RL/SFT basics; its length comes from domain breadth and evo-specific contracts, not padding. Not 2: there is little unnecessary explanation of concepts Claude already knows.

Actionability

Multiple copy-paste-ready blocks: the warm-start Python snippet, the .evo/cache Python snippet, `evo config set max-attempts 1`, the TRL `report_to` one-liners, and the ideator `Task(...)` call. Not 2: these are executable code/commands, not pseudocode.

Workflow Clarity

A numbered 5-step mid-eval/early-stop sequence with explicit validation checkpoints ("Mini-eval after each checkpoint", "Early-stop on regression", "Save the BEST checkpoint") plus the smoke-run gate and spot-check feedback loops. Not 2: validation steps and error-recovery loops are explicit, not implicit.

Progressive Disclosure

The body is an overview pointing through an ASCII reference tree with per-file "Read FIRST/Read when..." triggers, one level deep; every cited path (glue.md, trace-schema.md, diagnostics.md, false-progress.md, observability.md, rl/art.md, sft/tinker.md, serving/vllm.md) was verified present. Not 2: content is appropriately split and clearly signaled rather than inlined.

Specificity

Enumerates concrete actions like "picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF)" and "Decision tree by reward shape, smoke-run gate, three failure diagnostics, five false-progress patterns" — multiple specific capabilities, matching the score-3 anchor. Not 2: it lists concrete actions rather than only naming a domain.

Completeness

"This skill should be used when picking or diagnosing..." answers when explicitly, and "Decision tree by reward shape, smoke-run gate..." answers what — both present with an explicit trigger clause. Not 2: the when is stated, not merely implied.

Trigger Term Quality

Natural user phrasings are present ("fine-tuning, post-training, training recipe, reward design, or weight updates") alongside the technique acronyms, giving good coverage of terms a user would actually say. Not 2: it goes beyond technical jargon to common variations.

Distinctiveness Conflict Risk

A clear finetuning/post-training niche with distinct triggers (technique names + reward design + weight updates) makes it unlikely to fire for an unrelated skill. Not 2: the triggers are specific enough to avoid overlap with general training or eval skills.