BlockBeats news, on March 12, a user today discovered that Tencent created a platform called SkillHub, which bulk imported all skill packages from the OpenClaw official skill market ClawHub, along with screenshots showing a large number of data synchronization records. The post quickly attracted attention.

OpenClaw founder Peter Steinberger responded immediately, stating that he had previously received emails complaining that the rate limit he set was 'too slow', criticizing Tencent for consuming a large amount of server resources without providing any support, and that the server costs for ClawHub are facing a rise to five figures. He directly @ Tencent's Hunyuan team official account, questioning 'Can you help support a bit, instead of pushing my server costs to five figures?'

Tencent's official AI account subsequently publicly responded, defining SkillHub as "a localized skill platform built on the OpenClaw ecosystem," aimed at providing better usability and speed for Chinese users. Tencent emphasized always labeling ClawHub as the source and announced the first week's operational data: processing 180GB of traffic (870,000 downloads) for users, but only pulling 1GB of non-concurrent requests from the ClawHub official source. Tencent also stated that team members are active code contributors (submitting code and PRs) and are willing to be better sponsors.

Steinberger saw the response but still disagreed: "The key point is not here. We could have aligned to make SkillHub the official fifth mirror and sync download statistics. The polite thing to do would be to ask first." Mirror open-source projects are a common practice in the Chinese developer ecosystem (with many Chinese mirrors available for npm, PyPI, Docker Hub, etc.), and Tencent's response has already addressed Steinberger's initial core concerns, but Steinberger clearly cares more about prior communication than post-explanation. His proposal to "create an official mirror and sync download statistics" is a better solution, and the two parties are not far from reaching a collaboration.

#ClawHub #OpenClaw集成