Content
100%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 lean, executable CLI reference with concrete commands and JSON shapes, clear multi-step workflows with validation checkpoints, and well-organized one-level-deep references to real bundle files. It does not pad with concepts Claude already knows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a dense CLI reference where nearly every line is an executable command, flag, or JSON field; it avoids explaining concepts Claude already knows and its prose (e.g. the coding-identifier asymmetry note, the --yolo rationale) is load-bearing rather than padded. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands with concrete jq pipelines, flags, and JSON shapes across traces, spans, sessions, datasets, GraphQL, and annotation configs. | 3 / 3 |
Workflow Clarity | The 'Workflows' section sequences open-coding → axial-coding → build evals, and risky operations carry explicit validation checkpoints (tracesVerified check, exit code 3 with remediation, ExitCode.FAILURE on name miss, opt-in revert with confirmation and --all gating). | 3 / 3 |
Progressive Disclosure | SKILL.md stays one level deep with two well-signaled, real references (references/open-coding.md, references/axial-coding.md) surfaced via a Quick Reference table, a Reference Categories table, and inline markdown links; the coding methodology is appropriately split out while CLI specifics remain inline. | 3 / 3 |
Total | 12 / 12 Passed |