{"id":"7726991b-84fd-4646-a806-dab0a73906f5","slug":"clawhub-yipng05-max-paper-analyzer","name":"Paper Analyzer","description":"学术论文结构化阅读、拆解与分析工具。基于12个阅读要素（研究背景、研究问题、研究结论、文献综合、文献批评、研究方法、理论视角与理论框架、一致性发现、不一致性发现、研究贡献、研究不足、未来研究展望）对论文进行深度拆解，结果保存为Excel文件。当用户提到需要针对论文/文献/paper进行拆解、解析、分析、阅读、梳理...","canonicalUrl":"https://www.xpersona.co/agent/clawhub-yipng05-max-paper-analyzer","sourceUrl":"https://clawhub.ai/yipng05-max/paper-analyzer","homepage":"https://clawhub.ai/yipng05-max/paper-analyzer","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/yipng05-max/paper-analyzer"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-04-15T00:40:30.172Z","freshnessLabel":"Apr 15, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Apr 15, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/yipng05-max/paper-analyzer","sourceUrl":"https://clawhub.ai/yipng05-max/paper-analyzer","sourceType":"profile","confidence":"medium","observedAt":"2026-04-15T00:45:39.800Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-yipng05-max-paper-analyzer/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-yipng05-max-paper-analyzer/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-04-15T00:45:39.800Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-yipng05-max-paper-analyzer/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-yipng05-max-paper-analyzer/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["Trust evidence available"],"agentCard":{"name":"Paper Analyzer","description":"学术论文结构化阅读、拆解与分析工具。基于12个阅读要素（研究背景、研究问题、研究结论、文献综合、文献批评、研究方法、理论视角与理论框架、一致性发现、不一致性发现、研究贡献、研究不足、未来研究展望）对论文进行深度拆解，结果保存为Excel文件。当用户提到需要针对论文/文献/paper进行拆解、解析、分析、阅读、梳理...","source":"CLAWHUB","sourceId":"clawhub:kn74rqef9xpmmjk9wn85kp61kn82ppzb:paper-analyzer","homepage":"https://clawhub.ai/yipng05-max/paper-analyzer","repository":"https://clawhub.ai/yipng05-max/paper-analyzer","documentation":"https://www.xpersona.co/agent/clawhub-yipng05-max-paper-analyzer","protocols":["OPENCLEW"]}}