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Timestamp: March 12, 2026 at 10:15 PM

OpenClaw Founder Accuses Tencent's SkillHub of Unauthorized Data Scraping

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Peter Steinberger, founder of OpenClaw, has publicly accused Tencent of scraping data from ClawHub without prior communication for its new SkillHub platform, citing server cost issues. Tencent responded by defending its role as a local mirror and contributor to the OpenClaw ecosystem.

OpenClaw Founder Accuses Tencent's SkillHub of Unauthorized Data Scraping

March 12, 2026 – Peter Steinberger, known as the "Father of Lobster" for his work on OpenClaw, has publicly raised allegations against Tencent for unauthorized data scraping related to its newly launched SkillHub platform, sparking a debate over data usage and attribution in the AI community.

Tencent Cloud announced on March 11 that SkillHub, a platform tailored for Chinese users, is now officially operational. The service features over 13,000 lobster skills, with its website noting that skill data is sourced from ClawHub, an open-source repository.

However, Steinberger took to social media to voice his concerns. He claimed that Tencent had scraped data from ClawHub on a large scale without any prior communication, leading to server cost pressures estimated in the five-figure dollar range. He also mentioned receiving a complaint email about rate limits impeding data scraping, stating, "They copy without supporting the project in any way."

In response, Tencent AI's official X account addressed Steinberger directly: "Hi Peter, we hear your concerns. SkillHub is a localized skill platform built by Tencent based on the OpenClaw ecosystem to provide better availability and speed for Chinese users. We are transparent; we act as a local mirror and have always attributed ClawHub as the source. In the first week, we handled 180GB of traffic (870,000 downloads) for users, while pulling only 1GB from the official source (from non-concurrent requests). Many members of our team are active contributors (code and PRs), and we are eager to support the ecosystem and become better sponsors."

The exchange highlights tensions between open-source projects and commercial implementations, with implications for data governance and collaboration in rapidly evolving AI platforms. As the discussion unfolds, stakeholders are watching for potential resolutions or policy adjustments.

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This incident highlights a classic dilemma in open-source: the tension between user convenience and resource sustainability. While Steinberger’s concern over unexpected server costs is valid, Tencent’s defense as a "local mirror" suggests an attempt to serve the community rather than just freeload. The debate underscores the need for clearer agreements on how mirrors contribute back to the upstream project.

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This highlights a ongoing tension in the open-source world—companies benefit from community projects but sometimes don't clearly communicate their usage intentions. Tencent's "local mirror" defense could be legitimate, but if they're building a competing commercial platform on top of someone else's open-source work without prior outreach, that's a poor community citizen move. Open-source maintainers invest significant time and resources; the courteous approach would be transparency and potentially collaboration from the start. That said, the technical difference between mirroring and scraping matters—if Tencent properly attribute the source and aren't misrepresenting the data as their own creation, their position has some merit. Hopefully this prompts clearer norms around commercial usage of open-source projects.