Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, fully-executable reference that excels at conciseness and actionability, with clean per-format organization; its main gap is the absence of any validation/verification checkpoint for the file-writing operations.
Suggestions
Add a short verification step after exports — e.g., check the output file exists and is non-empty, or re-open the RDF/Parquet to confirm it parses — to support workflow clarity for batch/file operations.
Note expected return shapes or error behavior (e.g., 'returns RDF text or raises on invalid format') so Claude can handle failures without guessing.
Optionally clarify how `$ARGUMENTS` maps onto the subcommands (format → method) to remove ambiguity at invocation time.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — each section is a usage signature, an executable import-plus-call snippet, and a one-line output note — with no concept explanation or padding, matching the 'every token earns its place' anchor. | 3 / 3 |
Actionability | Every format section provides concrete, executable Python (imports and real call signatures such as export_json(data=graph_data, file_path=output, format='json')) that is copy-paste ready. | 3 / 3 |
Workflow Clarity | Each subcommand is a clear single action, but exporting/writing files is a batch/output operation and no validation or verification checkpoint (e.g., confirm file written, verify format) is shown, which per the rubric caps workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | No bundle files exist and the skill is a short, single-purpose reference with well-organized per-format sections, which the rubric allows to score 3 for simple under-50-line skills. | 3 / 3 |
Total | 11 / 12 Passed |