Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-crafted multi-step skill: lean prose, an executable helper command with concrete flags, explicit validation/feedback checkpoints, and clean one-level-deep references to real bundle files. No meaningful weaknesses relative to the rubric.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence — it never explains what clustering, arXiv, or LLM agents are, and offloads schemas and detailed rules to references, so every section earns its place; not a 2 because there is no padded concept explanation to trim. | 3 / 3 |
Actionability | Provides a fully executable command with concrete flags ('python scripts/cluster_and_seed.py --news-data-dir … --top-n-per-cluster 6 --min-score 3.5'), specific field paths ('meta.title', 'sections.survey.scope'), and an exact per-seed field schema; this is copy-paste-ready guidance, not pseudocode. | 3 / 3 |
Workflow Clarity | Six clearly sequenced steps with validation checkpoints: the Step 5 novelty cross-check is an explicit feedback loop (downgrade confidence on a near-duplicate), Step 6 enforces an append-only/never-overwrite guard, and the required grounding self-check checklist exists in references; not a 2 because verification is present rather than missing for this batch operation. | 3 / 3 |
Progressive Disclosure | The SKILL.md body is an overview that points one level deep to real, clearly-signaled bundles — 'schema in references/contract.md' and 'See references/grounding-rules.md' — and the referenced files exist, matching the clear-overview-with-well-signaled-references anchor. | 3 / 3 |
Total | 12 / 12 Passed |