agentic-task-planner临床科研任务总调度器。将研究任务拆解为多步执行计划，依次调度证据检索、数据映射、统计分析、导出治理等步骤完成完整科研分析流程。当用户要求执行完整科研分析任务时触发。
Install via ClawdBot CLI:
clawdbot install emergenceronearth/agentic-task-plannerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:5001/api/reportCalls external URL not in known-safe list
http://localhost:5001/api/reportAI Analysis
The skill sends progress reports to a local monitoring API (localhost:5001) which is likely an internal dashboard for the demo environment, not an unauthorized external server. The data sent appears to be status updates about the workflow itself, not user-provided data or sensitive research outputs. The activity is consistent with the skill's stated purpose of task orchestration and reporting.
Audited Apr 16, 2026 · audit v1.0
Generated May 22, 2026
研究人员输入研究问题（如'胃癌术后感染风险分析'），由AI自动编排并执行证据检索、数据映射、统计分析及导出治理的完整流程，快速生成一份包含证据基础、队列概况、统计结果和论文框架的可行性报告。适用于科研立项前的快速评估。
制药公司需要快速分析真实世界数据以支持药物上市后安全性和有效性评估。该Skill可自动整合医院数据，完成变量映射、队列构建和统计分析，生成符合监管要求的分析报告，缩短从数据到证据的周期。
医院科研处或临床科室可部署此Skill作为科研任务调度中心，研究人员只需提交研究问题，系统自动调度技能链完成数据采集、分析、报告导出，并记录审计信息，提升科研效率与合规性。
医疗器械厂商需定期进行上市后临床评价，收集医院数据评估器械安全性和有效性。此Skill支持从检索同类器械证据到分析本院数据、生成导出报告的全流程自动化，支持监管提交。
临床医生或研究生筹备学术论文时，使用此Skill自动完成文献检索、数据提取、统计分析并生成论文框架，大幅减少重复性工作，加速研究进程。
向医院、药企或CRO提供云端科研分析平台，按年/月收取订阅费。提供标准化技能包，用户按需调用，支持多租户隔离和数据安全合规。
为大型药企或研究机构定制化部署，包括本地化数据字典映射、技能调整、后续维护。按项目收取实施费，外加年度维护费。
为小型诊所或个体研究人员提供按次或按任务计费模式，每完成一次完整的科研分析流程收取固定费用，降低使用门槛。
💬 Integration Tip
确保API端点（如http://localhost:5001/api/report）和生产环境的监控上报系统对接，并将读取的mock数据路径替换为真实数据源接口。
Scored May 22, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...