Content
76%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 highly actionable, well-structured reference for batch extraction with excellent executable examples. Its main gaps are the missing explicit verification feedback loop expected for batch operations and a dangling reference to a non-existent cli-reference.md.
Suggestions
Add an explicit post-run verification step (e.g., check each array entry for an error field and re-run failed files with --file-configs) to form a validate->fix->retry loop and lift workflow clarity above the batch cap of 3.
Provide the referenced references/cli-reference.md in the bundle, or remove the dangling pointer and inline the remaining batch flag set.
Trim the prose in the Error recovery and Parallelism rationale paragraphs to lean imperative guidance, improving token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is command-focused and largely lean, but a few prose sentences (e.g., the Error recovery paragraph and rationale passages) could be trimmed without losing actionable value. | 4 / 5 |
Actionability | Provides copy-paste ready commands, a jq pipeline, a --file-configs JSON example, a Python extract_batch snippet, and a TOML config — fully executable across the common cases. | 5 / 5 |
Workflow Clarity | As a batch operation the skill lacks an explicit validate->fix->retry checkpoint loop; the Error recovery section only hints to 'inspect results... rather than relying on the process exit code alone,' so the batch cap applies. | 3 / 5 |
Progressive Disclosure | Well-organized into clear sections with one-level-deep signaled references, but references/cli-reference.md is referenced while no bundle files exist in this skill, leaving a dangling pointer. | 4 / 5 |
Total | 16 / 20 Passed |