A unified onchain reputation profiler that aggregates scores from Ethos, Talent Protocol, and Farcaster for any 0x address.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install basecred
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install basecred using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is BaseCred Onchain Reputation?
BaseCred is an essential component of the Openclaw Skills library, designed to bridge the gap between raw blockchain data and actionable reputation insights. It allows developers and AI agents to query a specific 0x address and receive a multi-faceted profile covering credibility, professional builder scores, and social quality signals. By integrating the BaseCred SDK, this skill simplifies the process of assessing trust in a decentralized environment.
The skill is particularly valuable for applications requiring identity verification, talent sourcing, or risk assessment. It synthesizes complex data into a readable format, ensuring that Openclaw Skills users can quickly understand the social and professional standing of any onchain entity.
BaseCred Onchain Reputation Use Cases
- Assessing the credibility of decentralized finance (DeFi) participants.
- Vetting developers or creators based on their Talent Protocol builder scores.
- Filtering Farcaster users by account quality and social sentiment.
- Monitoring wallet recency to distinguish between active contributors and dormant accounts.
How BaseCred Onchain Reputation Works
- The AI agent executes the BaseCred query script from the designated workspace.
- The SDK retrieves reputation data from Ethos Network, Talent Protocol, and Farcaster APIs.
- The system performs an internal mapping of raw numerical scores to standardized level tables.
- Recency logic is applied to label the profile as recent, stale, or dormant.
- A final JSON object containing unified scores, review sentiment, and verified status is presented.
BaseCred Onchain Reputation Setup
To integrate this with your Openclaw Skills workspace, follow these steps:
- Install the required SDK:
npm i basecred-sdk
- Add your API credentials to the
.envfile:
TALENT_PROTOCOL_API_KEY=your_key_here
NEYNAR_API_KEY=your_key_here
- Run a test query to ensure connectivity:
node path/to/skills/basecred/scripts/query.mjs <0x-address>
BaseCred Onchain Reputation Data Schema & Taxonomy
| Facet | Key Metrics | Description |
|---|---|---|
| Ethos | Credibility Level, Reviews, Vouches | Social trust and sentiment analysis. |
| Talent Protocol | Builder Score, Creator Level | Professional reputation and expertise ranking. |
| Farcaster | Quality Score (0-1) | Social network activity and engagement quality. |
| Recency | Recent, Stale, Dormant | Indicator of how current the data and activity are. |
BaseCred Onchain Reputation Advanced Features
- Automated level derivation using local reference tables.
- Sentiment flagging for negative Ethos reviews to highlight risks.
- Support for optional Farcaster scoring via Neynar API integration.
- Workspace-aware environment detection for seamless script execution.
SKILL.md
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