Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with a well-sequenced, validation-aware workflow, but it is a single monolithic file over 50 lines that could benefit from splitting reference material out, and carries some redundant emphasis. Tightening repeated guidance and externalizing the template/config references would improve the weaker dimensions.
Suggestions
Move the Template Skeleton and Config File schema into separate reference files (e.g. references/template-skeleton.md) referenced one level deep from the body, keeping the overview lean.
De-duplicate the '5+ iterations' guidance so it lives in the workflow and the Tips section only points back rather than restating it.
Trim emphasis commentary (e.g. 'This is where voice-guide quality is made.') that does not change the action.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly operational and information-dense, but the Tips section restates workflow content ('5+ iterations is the floor') and several emphasis/commentary lines could be tightened. | 2 / 3 |
Actionability | Names concrete, executable specifics — Apify actors 'apidojo/twitter-user-tweets-scraper' and 'harvestapi/linkedin-profile-posts', the 'APIFY_API_TOKEN' env var, exact output paths, default counts, CLI args, and a config JSON schema — fully actionable even without bundled code. | 3 / 3 |
Workflow Clarity | Four clearly sequenced phases with an explicit sample→feedback→revise loop, a defined stopping rule with pushback, token-missing error handling, and a scrape fallback — matching the clear-sequence-with-feedback-loops anchor. | 3 / 3 |
Progressive Disclosure | No bundle files exist and the SKILL.md exceeds 50 lines with the template skeleton and config schema kept inline; sections are well-organized but content that could be split into separate files is not. | 2 / 3 |
Total | 10 / 12 Passed |