Content
92%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 handles a complex multi-layer detection and abstraction problem. The detection ladder is clear and actionable with executable commands, the universal verbs table is an excellent compact reference, and the workflow includes proper validation patterns. The only weakness is that the referenced LAYERS.md bundle file isn't provided, making it impossible to verify the progressive disclosure chain is complete.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It doesn't explain what a browser is or how detection works conceptually — it jumps straight into the detection ladder with concrete commands. Every section earns its place, and the universal verbs table is a compact, high-density reference. | 3 / 3 |
Actionability | Each detection step has executable shell commands with clear success criteria (exit codes, tool existence checks). The universal verbs table provides exact command mappings. The error case includes specific remediation steps. The targeting model distinction (ref-based vs selector-based) is concrete and actionable. | 3 / 3 |
Workflow Clarity | The detection ladder is explicitly sequenced with a clear 'first one wins, stop checking' rule. The universal pattern section provides a critical validation checkpoint (re-snapshot after state changes). The 'No Layer Detected' section is a clear blocking error with recovery guidance. The workflow from detection → load reference → use verbs is well-sequenced. | 3 / 3 |
Progressive Disclosure | The skill references `references/LAYERS.md` for detailed layer-specific commands, which is good progressive disclosure. However, no bundle files were provided, so we can't verify the reference exists. The universal verbs table is appropriately inline as a quick reference, but the skill is somewhat long and could potentially split more detail into the referenced file. | 2 / 3 |
Total | 11 / 12 Passed |