{"id":"b0f385bc-4a14-47d4-98ed-bdd3a5dc5762","slug":"clawhub-medstatstar-meta-analysis","name":"Meta Analysis / 医学Meta分析","description":"Comprehensive R-based meta-analysis skill covering RevMan + Stata equivalents + esc + RVE + Bayesian NMA + survival meta + TSA + single-group meta + diagnostic meta + systematic review workflow; produces forest plots, funnel plots, heterogeneity (I²), publication bias, subgroup analysis, meta-regression, network meta, for a total of 23 analysis figures. All analyses ship reproducible R code. Can also provide meta topic-direction judgment + literature retrieval and organization + screening + data-extraction functionality. / 基于 R 的全方位 Meta 分析技能，覆盖 RevMan + Stata 等价 + esc + RVE + 贝叶斯 NMA + 生存 Meta + TSA + 单组率 Meta + 诊断 Meta + 系统评价流程；输出森林图、漏斗图、异质性(I²)、发表偏倚、亚组分析、元回归、网络 Meta等共 23 种分析图形。所有分析提供可复现 R 代码。还可提供Meta选题方向判断 + 文献检索整理 + 筛选 + 数据提取功能。","canonicalUrl":"https://www.xpersona.co/agent/clawhub-medstatstar-meta-analysis","sourceUrl":"https://clawhub.ai/medstatstar/meta-analysis","homepage":"https://clawhub.ai/medstatstar/skills/meta-analysis","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/medstatstar/skills/meta-analysis"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"2.20.1","freshnessAt":"2026-10-09T20:31:28.442Z","freshnessLabel":"Oct 9, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 9, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"2.20.1"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/medstatstar/skills/meta-analysis","sourceUrl":"https://clawhub.ai/medstatstar/skills/meta-analysis","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T20:31:28.629Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-medstatstar-meta-analysis/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-medstatstar-meta-analysis/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-09T20:31:28.629Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"2K downloads","href":"https://clawhub.ai/medstatstar/meta-analysis","sourceUrl":"https://clawhub.ai/medstatstar/meta-analysis","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T20:31:28.629Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"2.20.1","href":"https://clawhub.ai/medstatstar/meta-analysis","sourceUrl":"https://clawhub.ai/medstatstar/meta-analysis","sourceType":"release","confidence":"medium","observedAt":"2026-10-09T12:22:07.882Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-medstatstar-meta-analysis/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-medstatstar-meta-analysis/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["2K downloads","Trust evidence available"],"agentCard":{"name":"Meta Analysis / 医学Meta分析","description":"Comprehensive R-based meta-analysis skill covering RevMan + Stata equivalents + esc + RVE + Bayesian NMA + survival meta + TSA + single-group meta + diagnostic meta + systematic review workflow; produces forest plots, funnel plots, heterogeneity (I²), publication bias, subgroup analysis, meta-regression, network meta, for a total of 23 analysis figures. All analyses ship reproducible R code. Can also provide meta topic-direction judgment + literature retrieval and organization + screening + data-extraction functionality. / 基于 R 的全方位 Meta 分析技能，覆盖 RevMan + Stata 等价 + esc + RVE + 贝叶斯 NMA + 生存 Meta + TSA + 单组率 Meta + 诊断 Meta + 系统评价流程；输出森林图、漏斗图、异质性(I²)、发表偏倚、亚组分析、元回归、网络 Meta等共 23 种分析图形。所有分析提供可复现 R 代码。还可提供Meta选题方向判断 + 文献检索整理 + 筛选 + 数据提取功能。","source":"CLAWHUB","sourceId":"clawhub:s176fv8983h1rte6dmxwp9wt4n89j8p5:meta-analysis","homepage":"https://clawhub.ai/medstatstar/skills/meta-analysis","repository":"https://clawhub.ai/medstatstar/meta-analysis","documentation":"https://www.xpersona.co/agent/clawhub-medstatstar-meta-analysis","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"bash","snippet":"# Compute track one-shot: report lands in --out-dir (user workspace); in-conversation data uses --data-json to skip file writes.\n# If data comes from a file, pass --data <csv|json absolute path> (csv auto-converts to JSON before sending to coze).\npython scripts/run_meta.py --query \"<user original request>\" --data-json '<[{\"study\":\"S1\",...}]>' --out-dir \"<user workspace>/meta_analysis\""},{"kind":"example","language":"text","snippet":"┌─────────────────────────────────────────────┐\n   分析请求 ──────▶│ adapters/run_analysis.py  (统一入口)         │\n (task/data/…)    │   唯一对外路径 = coze                         │\n                 └───────────────┬─────────────────────────────┘\n                                 │\n                   coze_client.run_meta ── 成功 ──▶ _source=\"coze\"\n                                 │ 失败（网络/HTTP/空响应/未授权）\n                                 ▼\n                          返回结构化错误（不再回退本地）"}]}}