Content
82%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.
The body is a highly actionable, lean CLI reference with a clear sequenced workflow and well-signaled one-level references. It falls just short of top marks on conciseness and workflow clarity due to minor redundancy and the absence of an explicit error-recovery feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean command-reference tables and step blocks assuming Claude's competence; minor redundancy between Step 2's snapshot example and the quick-reference tables keeps it just short of a 5. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands cover common cases (open, snapshot -i -c, click @e2, fill @e3, screenshot), and the quick-reference tables enumerate the rest of the CLI surface. | 5 / 5 |
Workflow Clarity | Steps 0–3 are clearly sequenced (check install → classify request → snapshot workflow → verify results) with a verification checkpoint in Step 3, but there is no explicit validate→fix→retry feedback loop for failed interactions. | 4 / 5 |
Progressive Disclosure | Two real one-level-deep references (browser-automation.md, ai-snapshot-workflow.md) are clearly signaled in a functionality table, but the fairly extensive inline command tables could arguably live in a reference file, leaving minor organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |