Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a well-structured, actionable multi-step skill with clear sequencing, explicit validation checkpoints, a self-review checklist, and clean one-level-deep progressive disclosure; its only weakness is mild verbosity in the prerequisites/provenance sections.
Suggestions
Condense the 'Verify research provenance' example phrasings into a compact table or a single representative example to reduce token load.
Avoid restating the same constraint in multiple sections (e.g., 'use antithesis-launch, not snouty launch directly' appears in Purpose, General Guidance, and Self-Review) — cite once and reference it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and actionable, but the provenance/examples block in Prerequisites and several restated caveats could be tightened, fitting the 'mostly efficient but could be tightened' anchor. | 2 / 3 |
Actionability | Guidance is concrete and specific — 'Set NO_COLOR=1 on all services via docker-compose.yaml environment blocks', 'Run compose build before snouty launch', 'snouty validate on antithesis/config/' — with specific file paths and commands throughout, satisfying the actionable instruction-only case. | 3 / 3 |
Workflow Clarity | A clear six-step sequence is given ('Read and implement each reference file listed below one at a time') with an explicit re-validation loop ('check whether what you learned invalidates any decisions from earlier steps') plus a Self-Review checklist, matching the top anchor. | 3 / 3 |
Progressive Disclosure | The body is an overview that signals one-level-deep references (references/directory-init.md, instrumentation.md, docker-images.md, docker-compose.md, config-dir.md, submit-and-test.md), all of which exist as real files, with language detail split under references/language/. | 3 / 3 |
Total | 11 / 12 Passed |