Content
86%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 well-structured instruction skill: concise, layered-config framing with a checkpointed workflow and clean one-level references. Actionability and the error-recovery feedback loop have minor gaps that keep it just short of top marks.
Suggestions
Replace the <plugin-root> and <target> placeholders in the validate command with a concrete example or a one-line note on how to resolve them.
Add an explicit feedback loop in step 5 (e.g., "If validation reports errors, fix the flagged keys and re-run validation before proceeding").
Include one minimal concrete settings.json or models.json edit snippet to ground step 4's "smallest valid change" directive.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and dense: a one-line framing, a five-step workflow with tight completion criteria, short boundaries, and two references, with no padding or explanation of concepts Claude already knows. | 5 / 5 |
Actionability | Provides concrete commands (validate-pi-harness.py, pi --list-models, pi config) and clear directives, but the validation path uses placeholder tokens (<plugin-root>, <target>) and the instruction-heavy steps lack a concrete config-edit example, leaving minor gaps. | 4 / 5 |
Workflow Clarity | Five sequenced steps each carry an explicit "Complete when:" checkpoint and step 5 includes validation plus a smoke check, but the validate-fails-then-fix-and-revalidate feedback loop is implied rather than spelled out as an explicit loop. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with two well-signaled, one-level-deep references (settings.md, models.md) that both exist as self-contained files, with detail appropriately split out and easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |