Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that efficiently communicates a multi-step validation workflow. It provides concrete commands, clear sequencing with validation checkpoints, explicit error recovery paths, and a complete output template. The content respects Claude's intelligence while adding genuine value through project-specific discovery hints and structured reporting requirements.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It doesn't explain what tests, linting, or scaffolding are—it assumes Claude knows. Every section serves a purpose: when to use, what to do, how to handle failures, and what to output. No wasted tokens. | 3 / 3 |
Actionability | Provides concrete examples of commands to run (pytest, npm test, eslint, ruff --fix), specific files to check for discovering project conventions (package.json, pyproject.toml, CI configs), and a complete example report with exact format. The guidance is specific and directly executable. | 3 / 3 |
Workflow Clarity | The checklist is clearly sequenced (run tests → lint → remove scaffolding → verify context → confirm criteria). Explicit feedback loops exist: fix and re-run on failure, auto-fix then re-verify, and escalation path for non-trivial blockers. The 'If checks fail' section provides clear error recovery with three distinct paths. | 3 / 3 |
Progressive Disclosure | For a skill of this size (~60 lines) with no need for external references, the content is well-organized into clear sections (When to use, Validation checklist, If checks fail, Validation report, Example). No bundle files are needed and none are referenced. The structure is easy to scan and navigate. | 3 / 3 |
Total | 12 / 12 Passed |