Content
68%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 content is well-structured, concise, and actionable with a clear sequenced workflow, but the batch scraping operation lacks an explicit validation checkpoint, capping workflow clarity. The referenced run_actor.js script could not be verified in the bundle.
Suggestions
Add a validation checkpoint after scraping (e.g. verify the output file is non-empty, row count matches expectations, and spot-check required fields) before reporting success in Step 5.
Replace the 'JSON_INPUT' placeholder with a concrete example input for at least one Actor so the command is fully copy-paste ready.
Confirm the run_actor.js script exists at the referenced path (reference/scripts/run_actor.js) or correct the path so the bundle matches the documented commands.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes competence, with a dense Actor-selection table and runnable commands rather than explanations of what Apify is; only minor redundancy (the H1 re-states the description). | 4 / 5 |
Actionability | Provides concrete, mostly copy-paste bash commands with the run_actor.js script invocation, though 'JSON_INPUT' remains an unfilled placeholder and the referenced script path cannot be verified against an absent bundle scripts directory. | 4 / 5 |
Workflow Clarity | A clear 5-step sequenced checklist is present, but this batch lead-scraping workflow has no validation/verification checkpoint, so per the rubric's batch-operation cap workflow clarity cannot exceed 3. | 3 / 5 |
Progressive Disclosure | A single well-organized overview file with clear section headers and no nested references; the only gap is the asserted run_actor.js reference whose bundle location could not be confirmed. | 4 / 5 |
Total | 15 / 20 Passed |