The body is lean and assumes Claude's competence: it gives an agent prompt template, a normalization table format, and rules without explaining what ablations are or padding with generalities, matching the level-3 'lean and efficient; every token earns its place'.

Provides a concrete spawn_agent prompt template with explicit fields, a structured markdown table to normalize output, and specific filenames and naming conventions (EXPERIMENT_LOG.md, ablation-no-module-X), giving concrete executable guidance appropriate for an instruction/orchestration skill rather than vague direction.

A clear 5-step sequence includes explicit validation checkpoints (Step 4 feasibility review before running, Step 5 smoke test each ablation) and a feedback loop (propose cuts and ask for re-prioritization when over budget), matching the level-3 anchor of clear sequence with explicit validation and feedback loops.

No bundle files exist so there are no nested references to evaluate; the body is self-contained and well-organized into When to Use, Workflow, and Rules sections with nothing that should be split out, satisfying the well-organized-sections criterion for a skill with no need for external references.

Names multiple concrete actions tied to the domain: 'designs ablations from a reviewer's perspective', 'reviews feasibility and implements', and 'ablation studies are needed for paper submission', matching the level-3 anchor of multiple specific concrete actions rather than the level-2 partial coverage.

An explicit 'Use when...' clause states the trigger condition (result-to-claim passing) and the body clearly states what it does, so both what and when are explicit, satisfying the level-3 anchor and not the level-2 'when only implied'.

Includes relevant terms like 'ablation studies' and 'paper submission' but relies heavily on slash-command gating ('result-to-claim', '/auto-review-loop') rather than natural user phrasings, leaving common variations ('I need ablations for my paper') under-covered, which fits level 2 not 3.

The niche is tightly scoped to ablation planning for ML paper submission gated on a specific prior check, with distinct triggers unlikely to fire for unrelated skills, matching the level-3 'clear niche with distinct triggers'.