Content
81%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 well-structured, highly actionable skill body with strong validation feedback loops for a batch operation. The main weakness is verbosity in the degraded-endpoint fallback section, which could be condensed or moved to a reference.
Suggestions
Condense the 'Degraded endpoint / budget fallback' section: collapse the repeated ZERO_RESULT_REASON restatements and the no-candidate pitfall into a compact table or a single bulleted decision tree.
Consider moving the detailed fallback/curl enrichment recipe into a reference file (e.g. references/fallback_runbook.md) and summarizing the trigger conditions inline to improve progressive disclosure.
Tighten Step 4's grade guidance by merging it with the scoring thresholds already documented in references/scoring_methodology.md to avoid duplicating threshold numbers.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with no concept-padding, but the degraded-endpoint/budget-fallback section is lengthy and restates exit codes and the no-candidate pitfall in ways that could be tightened. | 3 / 5 |
Actionability | Copy-paste ready bash and curl commands cover default, custom lookback, entry-filter, and fallback cases with concrete flags and endpoints. | 5 / 5 |
Workflow Clarity | Clear four-step sequence with explicit validation and feedback loops (retry with narrower config, fallback labeling, ZERO_RESULT_REASON handling) for a batch screening operation. | 5 / 5 |
Progressive Disclosure | Good one-level reference to the verified references/scoring_methodology.md; the large inlined fallback runbook is the minor organization gap keeping it from a 5. | 4 / 5 |
Total | 17 / 20 Passed |