deep-research-openclaw-agentInstall and wire a structured OpenClaw deep-research sub-agent with hybrid search, artifact-based runs, claim verification, report linting, and validated fin...
Install via ClawdBot CLI:
clawdbot install milleniumgenai/deep-research-openclaw-agentGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/MilleniumGenAI/deep-research-openclaw-agentAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A startup founder uses the skill to perform deep research on emerging competitors and market trends in the AI sector. The structured workflow helps gather verified data, identify gaps in coverage, and produce a validated report to inform strategic decisions.
A researcher employs the skill to systematically scout and harvest academic papers on climate change impacts. The claim verification and artifact-based runs ensure traceable sources, while report linting produces a reliable synthesis for publication.
An investment analyst leverages the skill to investigate a target company's financial claims and industry standing. Hybrid search with Tavily and web fetch collects diverse data, and the validation pipeline delivers honest success or partial outcomes with explicit conflicts.
A content strategist uses the skill to research trending topics and audience interests in the entertainment industry. The deep-research sub-agent plans and synthesizes findings into a structured report, aiding in content planning and gap analysis.
A compliance officer applies the skill to gather and verify information on new regulations in the healthcare sector. The artifact-based runs and source registry ensure audit trails, while finalization produces M2M JSON for internal reporting.
Offer the deep-research skill as part of a subscription-based service for businesses needing regular market intelligence. Revenue comes from monthly fees, with tiers based on usage volume and access to advanced features like Tavily integration.
Provide custom deep-research projects using the skill for clients in industries like finance or tech. Revenue is generated through project-based fees, leveraging the structured workflow to deliver high-quality, verified reports efficiently.
Distribute the skill as a free tool with basic research capabilities, while charging for premium features such as advanced validation, Tavily API access, or priority support. This attracts a broad user base and converts power users to paid plans.
💬 Integration Tip
Ensure OpenClaw and Python are properly installed, and configure the deep-researcher agent in openclaw.json before use to avoid runtime errors.
Scored Apr 19, 2026
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per t...
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另一个TA：输入人名/主题/模糊需求/网络链接/已有Skill，自动深度调研→框架提炼→生成完整 Agent 人设文件包，直接覆盖当前 Agent workspace 的人设文件。 五种入口：(1)明确人名→蒸馏为Agent (2)模糊需求→诊断推荐→再蒸馏 (3)网络链接→基于内容蒸馏 (4)已有Skill→读...