Content
73%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, largely executable skill body: real code against a real bundle script, a clearly sequenced three-phase workflow with explicit validation and revert loops, and an appropriate pointer to the implementation file. Weaknesses are mild redundancy (Purpose section restating the description, re-explaining standard TDD practice) and small wiring gaps around how the feature dict and configuration are supplied.
Suggestions
Remove or merge the Purpose section into the opening line — it duplicates the frontmatter description and adds no new information.
Trim comments and phase-detail items that restate standard TDD practice Claude already knows (e.g., "# Improve code structure", "Identify code smells"), keeping only runner-specific behavior.
Show how a `feature` dict is constructed (its test_cases shape) and how the Configuration JSON is passed to TDDRunner, making Quick Start fully copy-paste runnable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with real API examples, but includes unnecessary padding: the "Purpose" section restates the frontmatter description almost verbatim, and comments/details like "# Improve code structure" and the RED/GREEN/REFACTOR detail lists re-explain standard TDD practice Claude already knows. This fits score 3 ('some unnecessary explanation or could be tightened') better than score 4, since the redundancy spans more than minor instances. | 3 / 5 |
Actionability | Quick Start and phase snippets are executable and match the actual script (TDDRunner, run_cycle, red/green/refactor_phase all verified in scripts/tdd_runner.py), and the Cycle Result JSON documents the concrete output shape. Minor gaps remain — how the `feature` dict is constructed, where `project_dir` points, and how the Configuration JSON is loaded — so it stops short of fully copy-paste-ready coverage of the common cases (score 5). | 4 / 5 |
Workflow Clarity | The TDD Cycle section sequences all three phases with code, and each phase's details include explicit validation and feedback loops: "If tests pass unexpectedly, add more specific assertions", "If tests fail, iterate on implementation. Stop when all tests pass", and "Run tests after each change. Revert if tests fail". This matches the score-5 anchor (clear sequence, explicit validation, error-recovery loops), including a revert-on-failure rollback. | 5 / 5 |
Progressive Disclosure | Good structure: key runnable examples are inline, and the bulk implementation is one level deep in scripts/tdd_runner.py, clearly signaled by "See scripts/tdd_runner.py for full implementation" (the file and its symbols exist). It is not score 5 because the inlined Cycle Result schema and Configuration block are API details that could live in a separate reference file, and the API Reference section is a bare pointer with no key examples inline — minor organization gaps matching score 4. | 4 / 5 |
Total | 16 / 20 Passed |