Conciseness

The body is mostly action-oriented (commands, tables, a 5-step workflow) and avoids explaining concepts Claude already knows, but the inline 55-actor catalog plus minor chattiness ('No need to check it upfront') and a duplicated description line could be tightened. It is not a 4 because the large inline actor catalog is heavy token load that could live in a reference file, and not a 2 because there is no conceptual padding.

Actionability

Copy-paste-ready mcpc and `node run_actor.js` commands with clearly marked placeholders (ACTOR_ID, JSON_INPUT) cover the common cases (quick answer, CSV, JSON), plus a search-actors fallback and an error-handling table. It is not a 4 because the examples are fully executable and cover the common output paths rather than having minor gaps.

Workflow Clarity

A 5-step workflow with a copyable progress checklist is clearly sequenced, and validation checkpoints exist (Step 2 schema fetch to verify inputs, explicit approval + conservative result cap for paid runs, error-handling feedback loops). It is not a 5 because there is no explicit 'verify the output file is non-empty/valid' checkpoint after a run, and not a 3 because validation for these batch/paid operations is present rather than absent.

Progressive Disclosure

Section structure is reasonable (## When to Use, ## Workflow, ## Error Handling, ## Limitations), but the 55-actor reference catalog is inlined rather than split into a separate file, and the one script reference (`${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js`) points to a bundle path that does not exist in references/scripts/assets. It is not a 4 because content that belongs in a separate file is inline and the script reference is not backed by a real bundle file, and not a 2 because the body is well-sectioned rather than a structureless wall.

Specificity

Quotes 'AI-driven data extraction from 55+ Actors across all major platforms' and 'automatically selects the best Actor for your task' name the domain plus two concrete actions (extract data, select actor), but coverage is not comprehensive — no platforms, output formats, or data types are specified. It is not a 4 because it does not list several specific actions, and not a 2 because it goes beyond a single generic action.

Completeness

The 'what' is clear ('AI-driven data extraction from 55+ Actors ... automatically selects the best Actor'), but there is no 'Use when...' clause or equivalent explicit trigger guidance, which per the rubric caps completeness at 3. It is not a 4 because 'when' is entirely absent rather than weakly present.

Trigger Term Quality

'data extraction' is a relevant natural keyword, but the description leans on technical jargon ('Actors', 'Apify') and omits the most common user phrasings ('scrape', 'web scraping', platform names like Instagram/TikTok/Google Maps). It is not a 4 because common variations and synonyms are missing, and not a 2 because 'data extraction' is more than entirely generic language.

Distinctiveness Conflict Risk

The Apify 'Actor' framing ('55+ Actors across all major platforms', 'selects the best Actor') carves a mostly distinct niche with only minor overlap risk against other generic scraping skills. It is not a 5 because the triggers are not explicit and 'all major platforms' keeps it somewhat broad, and not a 3 because the Apify-specific framing is clearly distinguishable.