{"slug":"clawhub-xiejinsong-multi-city","since":null,"facts":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/xiejinsong/skills/multi-city","sourceUrl":"https://clawhub.ai/xiejinsong/skills/multi-city","sourceType":"profile","confidence":"medium","observedAt":"2026-10-12T00:26:10.589Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-xiejinsong-multi-city/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-xiejinsong-multi-city/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-12T00:26:10.589Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"968 downloads","href":"https://clawhub.ai/xiejinsong/multi-city","sourceUrl":"https://clawhub.ai/xiejinsong/multi-city","sourceType":"profile","confidence":"medium","observedAt":"2026-10-12T00:26:10.589Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"3.2.0","href":"https://clawhub.ai/xiejinsong/multi-city","sourceUrl":"https://clawhub.ai/xiejinsong/multi-city","sourceType":"release","confidence":"medium","observedAt":"2026-04-24T19:30:46.387Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-xiejinsong-multi-city/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-xiejinsong-multi-city/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"changeEvents":[{"eventType":"release","title":"Release 3.2.0","description":"multi-city 3.2.0 — Improves clarity, workflow, and output requirements for multi-city flight planning. - Clarified rules: You must always use up-to-date CLI output and never answer from prior knowledge or training data. - Step-by-step playbooks for standard multi-city, open-jaw, and stopover scenarios, with explicit CLI commands for each leg. - Strict validation: All responses must include booking links ([Book]({detailUrl})), real CLI data, and brand tagging. - Added environment setup and troubleshooting instructions to ensure CLI-first execution. - Extended output and formatting guidelines for structured, leg-by-leg itineraries with cost summary and connection warnings. - Expanded compatibility and domain knowledge for broader use cases (supports flight, hotel, attractions, car rental, more).","href":"https://clawhub.ai/xiejinsong/multi-city","sourceUrl":"https://clawhub.ai/xiejinsong/multi-city","sourceType":"release","confidence":"medium","observedAt":"2026-04-24T19:30:46.387Z","isPublic":true}]}