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, action-oriented spec-generation skill with strong workflow sequencing and validation feedback loops. The main gap is progressive disclosure: several references point outside the bundle and the locally bundled reference files are not connected to the body.
Suggestions
Wire the bundled references/ files (contract.yaml, evals.yaml, task-profile.json) into the body or relocate the externally-pointed ../../references and Plugins/... paths so the skill is self-contained and navigable.
Consolidate the long field-name enumerations in Outputs and Validation into a concise table or a single referenced contract to reduce token weight while preserving actionability.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and instruction-only, assuming Claude's competence with no padding about known concepts, though the field-name lists and gate enumerations add some bulk that could be trimmed. | 4 / 5 |
Actionability | It gives concrete executable commands (check_bluf_structure.py, check_generated_artifact_shape.py with flags), explicit field lists, and clear block conditions, with only minor gaps around per-mode invocation detail. | 4 / 5 |
Workflow Clarity | The 9-step procedure is explicitly sequenced with fail-fast validation, pass/fail/blocked gate recording, block conditions, and one-recovery-step feedback loops for destructive or batch operations. | 5 / 5 |
Progressive Disclosure | The condition-signaled "Read when X -> path" References block is well-organized one-level navigation, but several cited paths point outside the skill bundle and the bundled references/ files (contract.yaml, evals.yaml) are not wired into the body. | 4 / 5 |
Total | 17 / 20 Passed |