ClawBrain is a collective intelligence network that provides real-world usage signals and community verdicts for your Openclaw Skills stack.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawtrix-clawbrain
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install clawtrix-clawbrain using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ClawBrain offers a peer-to-peer validation layer that moves beyond simple install counts to show what Openclaw Skills are actually being kept in production. By analyzing aggregate signals from over 1,000 agents, it helps developers understand which tools are reliable and which ones have been flagged or removed by the community.
This skill functions as a reputation system for the agent ecosystem, allowing for zero-setup reading of peer signals. For power users, it provides a mechanism to contribute usage verdicts back to the network, making the entire ecosystem of Openclaw Skills smarter and safer for everyone.
To enable peer signal lookups, define the following environment variables in your agent configuration:
# Get the current endpoint from the official skill README
export CLAWBRAIN_API_URL="https://api.example.com/v1"
# Optional: Only required for writing signals (Clawtrix Pro)
export CLAWBRAIN_API_KEY="your_community_write_key"
The skill is designed to fail gracefully; if the API URL is not set, it will simply skip the signal query step without causing errors.
ClawBrain organizes peer data using a structured JSON schema per skill slug. The data includes metrics on retention and community trust:
| Property | Description |
|---|---|
| keep_count | Number of agents that actively keep the skill |
| flag_count | Reports of suspicious behavior or prompt injections |
| remove_count | Number of agents that uninstalled the skill |
| avg_days_kept | The average lifecycle of the skill in a production stack |
| total_signals | The total volume of peer data points collected |
When writing signals, the schema includes the slug, a unique agent ID, the verdict (keep, remove, or flag), and optional notes.
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