Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-organized, concise, and actionable body: executable commands and paths, a sequenced install-to-CI workflow, a useful anti-patterns table, and clean one-level-deep references to upstream docs. No bundle files are present, but the in-file structure handles disclosure well.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and dense — concrete commands, file paths, a compact anti-patterns table, and a limitations list, with no padding or explanation of concepts Claude already knows. Not below 3 because every section earns its tokens; not applicable above the scale max. | 3 / 3 |
Actionability | Fully executable guidance — `pip install evals`, `oaieval gpt-3.5-turbo test-match`, editable-install steps, and a copy-paste `jq` log-parsing command — with specific registry/data paths. Pointers to upstream docs for custom-eval authoring are appropriate disclosure, not vagueness. | 3 / 3 |
Workflow Clarity | A clearly numbered Step 1–6 sequence from install through CI integration, with a pass-rate gate in Step 6. Eval running is not a destructive/batch operation, so the absence of an explicit validate-fix-retry loop does not cap the score. | 3 / 3 |
Progressive Disclosure | No bundle files exist; the body is a well-sectioned overview that signals one-level-deep references to upstream repo docs (docs/build-eval.md, docs/custom-eval.md, docs/eval-templates.md) and alternative skills in a dedicated References section. | 3 / 3 |
Total | 12 / 12 Passed |