Content
53%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.
The body is concise and well-structured as a lean stage contract that delegates depth to references, but it is light on actionable, executable guidance and only abstractly handles validation for a destructive loop. A couple of referenced bundle paths do not exist.
Suggestions
Add at least one concrete, copy-pasteable command in the body (e.g. the validate_spec.py preflight invocation) so the SKILL.md is actionable without opening references.
Make validation checkpoints explicit in the Procedure (a validate-then-proceed step with the script call), since this is a destructive/batch loop.
Reconcile the packet folder list and the playbook's examples/experiment-spec.json reference against the actual bundle, removing or creating the missing paths.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with short, unpadded sections and assumes Claude's competence; minor trimming possible from the evidence-tag noise and a placeholder TL;DR ("[source identity removed]"). | 4 / 5 |
Actionability | The body offers only high-level hints ("Apply its decision tables; pick the strategy explicitly") with no concrete code or commands, deferring all executable detail to references/ and scripts/. | 2 / 5 |
Workflow Clarity | A 3-step Procedure with a Quality Criteria checklist gives a sequence, but for a destructive/batch experiment loop the validation checkpoints are only abstract, so workflow clarity is capped at 3. | 3 / 5 |
Progressive Disclosure | A clear resource-map table points to real one-level-deep references (contracts.md, full-playbook.md), though the packet block and playbook also name folders/files (knowledge/, examples/experiment-spec.json) that are not present in the bundle. | 4 / 5 |
Total | 13 / 20 Passed |