Content
57%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.
The content is concise and reasonably structured with real execution pointers, but it stops short of executable in-body guidance and lacks explicit validation feedback loops for a writeback/audit operation. Progressive disclosure is adequate but not deeply organized.
Suggestions
Add an explicit validate→fix→retry loop for the writeback step (e.g. verify trace.jsonl integrity before marking the stage complete), since this is a batch/persistence operation.
Surface a short copy-paste-ready command block in the body (install deps, run, inspect products) instead of only describing the entry point.
Move detailed reuse-value and dependency rationale into a separate reference file, keeping SKILL.md a lean overview with clearly signaled one-level-deep references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficiently organized with tight sections (Input/Output/Dependencies/Failure Handling) and mostly earns its tokens, with only minor padding such as the reuse-value commentary. | 4 / 5 |
Actionability | It names concrete entry points ('scripts/run_provenance.py', run commands, product paths) but the in-body guidance is largely descriptive rather than copy-paste executable code; key execution detail lives in the bundled script. | 3 / 5 |
Workflow Clarity | Inputs/outputs/dependencies and failure handling are listed, but the multi-step flow lacks explicit validation checkpoints before writeback and the failure-handling steps are not framed as a validate→fix→retry loop. | 3 / 5 |
Progressive Disclosure | The body points to one real bundle file (scripts/run_provenance.py) which exists, but references are not clearly signaled as navigation and most detail is inlined in the single SKILL.md rather than split into reference files. | 3 / 5 |
Total | 13 / 20 Passed |