Content
72%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 highly actionable with executable commands and clear sections, and includes a sequenced agent workflow, but it lacks validation checkpoints for a batch operation and inlines content that could live in separate reference files.
Suggestions
Add explicit validation checkpoints to the AI Agent Workflow (e.g. verify the exported CSV has expected rows/columns before qualifying against ICP, and retry guidance if a scrape returns no people).
Move the full Options Reference and Troubleshooting sections into a separate references/ file (e.g. references/USAGE.md) and link to it from SKILL.md to improve progressive disclosure.
De-duplicate the mode descriptions and cost/rent URLs that currently appear across 'Two Modes', 'Setup', and 'Usage'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and action-oriented with executable commands, but some redundancy across the 'Two Modes', 'Usage', and 'AI Agent Workflow' sections and repeated cost/rent URLs could be trimmed. | 4 / 5 |
Actionability | Fully executable copy-paste commands throughout, a concrete options reference, real example URLs, and a complete CSV column table covering the common cases. | 5 / 5 |
Workflow Clarity | The 5-step AI Agent Workflow is clearly sequenced, but this batch prospecting operation lacks explicit validation checkpoints or error-recovery feedback loops, which caps workflow clarity at 3 per the rubric. | 3 / 5 |
Progressive Disclosure | Sections are well-organized and bundle scripts are clearly referenced by path, but there are no references/ or assets/ files and detail like the full options reference and troubleshooting is inlined in SKILL.md rather than split into separate reference files. | 3 / 5 |
Total | 15 / 20 Passed |