Conciseness

Mostly lean with executable curl blocks, a field table, and an error table that earn their tokens; the 'When to use' section partially re-states trigger phrases already in the description and could be trimmed slightly.

Actionability

Copy-paste-ready curl commands for start/poll/ask, a complete runnable polling loop, and a specific summarise-the-findings recipe naming exact response fields and the share URL pattern.

Workflow Clarity

Five clearly sequenced steps with explicit validation checkpoints ('Do not try to read a score from this response', 'a failed scan carries no usable score'), a poll-until-terminal feedback loop, and a full error-recovery table with 429 Retry-After handling.

Progressive Disclosure

Structure is well-signaled and one level deep (defers language examples to EXAMPLES.md and endpoint/OpenAPI detail to REFERENCE.md), but those referenced files are not present in the bundle, so the navigation promise is unfulfilled — a gap beyond the 'minor organization' anchor.

Specificity

Names the domain and a concrete action ('scan any public URL for AI agent-readability') and comprehensively enumerates the specs/standards scanned against, but the skill is essentially a single scan action rather than multiple distinct operations.

Completeness

Explicitly answers both what ('Use the Agent Ready REST API to scan any public URL...') and when ('Activates for ... or any time the user wants a programmatic readability scan via HTTP') with concrete trigger phrases.

Trigger Term Quality

Provides multiple natural trigger phrasings users would actually say ('scan this site for AI agent-readability', 'run an Agent Ready scan on {URL}', 'check the Agent Ready score', 'agent-readability rating') with synonyms.

Distinctiveness Conflict Risk

Clear niche (Agent Ready REST API scan) with distinct triggers and explicit disambiguation from the sibling MCP skill ('for MCP, use the agent-ready-mcp skill instead'), minimizing conflict risk.