Content
92%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 strong, opinionated analytical skill: executable commands with exit-code validation gates, a clear multi-step workflow with refusal floors, and well-organized one-level-deep references. Only minor editorial rhetoric keeps conciseness from a 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with no padding of concepts Claude already knows, and the heavy-tailed-distribution framing earns its place, but rhetorical color ('the least informative event available', 'that is the honest answer') could be trimmed, keeping it just below a 5. | 4 / 5 |
Actionability | Each workflow step gives a copy-paste-ready command with concrete flags (e.g. 'python3 scripts/pattern_miner.py --input posts.json --output human') plus explicit exit-code semantics covering the common cases. | 5 / 5 |
Workflow Clarity | A clear four-step sequence (export → describe → test → experiment) with explicit validation checkpoints via exit codes 0/2/3 and a refusal floor below 10 posts, giving feedback loops for the batch statistical operation. | 5 / 5 |
Progressive Disclosure | Well-sectioned overview (Workflow, Rules, Scripts table, References and assets, Distinct from) with one-level-deep references that all resolve to real bundle files, each annotated with a one-line description for easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |