Content
92%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 concise, well-sequenced, actionable instruction set with explicit validation checkpoints, but its progressive-disclosure references point to bundle files that are missing from the skill package.
Suggestions
Add the missing referenced bundle files (pytorch.md, onnx.md, conversion-issues/onnx.md, conversion-issues/pytorch.md) or remove the broken links so navigation resolves.
Deduplicate the two "Notes" sections that both repeat "Keep this skill instruction-only in markdown".
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean instruction-only markdown that assumes Claude's competence without padding with basic concept explanations; every section earns its place. | 3 / 3 |
Actionability | Concrete specific guidance with real identifiers (op_table.cpp, ONNX_OP/OPSET_SINCE, ShapeOf, tests/frontend) and exact registration examples; absence of code is acceptable for an instruction-only skill. | 3 / 3 |
Workflow Clarity | Clear 6-step sequence with explicit validation checkpoints (mark validation as blocked, idempotency check, report one of three states) and feedback loops for error recovery. | 3 / 3 |
Progressive Disclosure | The overview uses well-signaled one-level-deep reference tables, but the referenced files (pytorch.md, onnx.md, conversion-issues/*.md) do not exist, leaving dead links despite good structure. | 2 / 3 |
Total | 11 / 12 Passed |