{"id":50257,"plugin_id":"plugin_asdk_app_6abfd5de7dcc8191806cb0d66c184ef6","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-10-24T13:42:32.726Z","digest":"e6b82c4bf6827faef6465e20e854a72cc53c6453311f51495509452d89893ec8","against":null,"payload":{"description":"Use when a user wants to assess supplied AI-discovery signals, prioritize visibility gaps, or summarize dated model-capture evidence.","included_files":[],"name":"ai-discovery-readiness","skill_md_contents":"---\nname: ai-discovery-readiness\ndescription: Use when a user wants to assess supplied AI-discovery signals, prioritize visibility gaps, or summarize dated model-capture evidence.\n---\n\n# MentionedOn discovery readiness\n\nUse MentionedOn's public MCP tools only for the evidence the user supplies.\n\n- Use `analyze_discovery_readiness` to score supplied page and entity signals.\n- Use `build_visibility_action_plan` to prioritize supplied missing or partial findings.\n- Use `summarize_scan_evidence` for dated captures and retain all returned limitations.\n- Never claim that a tool fetched a site, ran a paid scan, or established current inclusion in a consumer AI product.\n- Keep evidence dates and source labels visible, and separate observations from inferences.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}