Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured skill body that uses a decision table and executable code to guide users through three tool-creation paths, with explicit install/test/verify checkpoints and validation gotchas. Detail is correctly pushed to two real one-level-deep reference files, keeping the overview lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, action-dense body — a decision table, tight code blocks, and targeted notes ("Gotchas: ... Use 2-4 broad keywords") with no exposition of concepts Claude already knows; every section earns its tokens, matching the "lean and efficient" score 3 anchor rather than the padded score 2 anchor. | 3 / 3 |
Actionability | Fully executable, copy-paste-ready guidance: complete JSON and Python class examples plus concrete commands ("mkdir -p .tooluniverse/tools", "tu test MyAPI_search '{\"q\": \"test\"}'", "pip install -e /path/to/my_project_root"), satisfying the score 3 anchor. | 3 / 3 |
Workflow Clarity | Each path has a clear sequence with explicit validation checkpoints — the "Install and verify" block ("pip install -e" → "cd ... MUST run from plugin repo directory" → "tu test" → "tu info MyAPI_search to confirm the tool loaded") and the tu test auto-checks plus manual-verification gotchas form a real validate→fix→retry feedback loop, matching the score 3 anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that offloads full field/class references to clearly signaled one-level-deep links ("see [references/json-tool.md]", "see [references/python-tool.md]"), both of which are real bundle files; content is appropriately split with easy navigation, the score 3 anchor. | 3 / 3 |
Total | 12 / 12 Passed |