Content
78%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 concise, well-structured instruction-only skill whose numbered workflow is specific and includes a thoughtful decision gate and output contract. Its weaknesses are mild: a redundant restatement of the description's trigger, no example of a minimal reproducible experiment, and no explicit step verifying that experimental evidence resolves the uncertainty before findings are recorded.
Suggestions
Trim the opening paragraph's restatement of the when-to-use trigger (already in the frontmatter description) to save tokens without losing information.
Add one short example of what a minimal reproducible experiment looks like in this repo (e.g., a script placed in `.scratch/` run with a specific command), so step 3 is executable rather than directive-only.
Insert an explicit validation step in the workflow — e.g., 'Confirm the experiment output answers the stated uncertainty before recording the finding' — between running the experiment and recording results.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with functional sections (Workflow, Guardrails, Output) and no padding or explanation of concepts Claude already knows. The opening paragraph ('Use this developer skill when a task depends on API behavior that is unclear...') largely restates the frontmatter description's trigger, which is a minor instance of content that could be trimmed. | 4 / 5 |
Actionability | The guidance is concrete for an instruction-only skill: 'Build the smallest reproducible example', 'use `.scratch/`', 'Prefer adding a proper test under `causalpy/tests/`', and a linked decision gate with explicit behavior. It falls short of fully executable guidance because there is no example of what a minimal reproducible experiment looks like for this repo (e.g., a command or script pattern for running one). | 4 / 5 |
Workflow Clarity | The 8-step workflow is clearly sequenced and includes a decision checkpoint (step 6: present limitation, offer options, wait for choice). However, there is no explicit validation step confirming the experiment's output actually resolves the stated uncertainty before recording the finding, so checkpoints are present but incomplete. | 4 / 5 |
Progressive Disclosure | The skill is under 50 lines, requires no external reference files (none exist in the bundle), and is organized into three well-labeled sections (Workflow, Guardrails, Output). Per the simple-skill guidance, well-organized sections with no nested references earn the top score. | 5 / 5 |
Total | 17 / 20 Passed |