Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is lean, fully actionable with executable commands and a complete CLI reference, and follows a clear four-step workflow with a result-filtering checkpoint and rerun feedback loop. Its single bundle reference is real and one level deep, with no monolithic or nested structure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and well-structured (Quick Start, Step 1-4, CLI Reference, Notes) with no padding explaining concepts Claude already knows; every section earns its place, including the genuinely useful Notes on engagement >100% and 1-3 minute runtimes. | 3 / 3 |
Actionability | It provides fully executable, copy-paste-ready commands with concrete flag values throughout Quick Start and Step 2, plus a complete CLI reference table listing every flag with defaults and constraints. | 3 / 3 |
Workflow Clarity | Steps are explicitly sequenced (Gather Criteria, Run Search, Filter Results, Present Results) with a validation checkpoint in Step 3 (removing non-matching profiles, fit < 0.6 exclusion, sort order) and an explicit feedback loop offering to rerun with adjusted criteria. It is not level 2 because batch filtering/verification is present rather than missing. | 3 / 3 |
Progressive Disclosure | Content is well-organized into clear sections with a single one-level-deep reference to the real bundle file scripts/find_influencers.py (matching the paths in the code blocks); there is no nested or multi-level reference chain. | 3 / 3 |
Total | 12 / 12 Passed |