A neutral, composable reputation skill that fetches onchain credibility data from Ethos Network, Talent Protocol, and Farcaster.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-basecred-sdk
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 openclaw-basecred-sdk 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 SDK Skill?
The BaseCred SDK skill is a powerful addition to your collection of Openclaw Skills, designed to provide objective, multi-source reputation data for any Ethereum address. By integrating with the @basecred/sdk, this tool allows developers and agents to verify human identity and builder status without relying on subjective trust verdicts. It aggregates signals from the Ethos Network, Talent Protocol, and Farcaster to deliver a comprehensive view of an individual's social credibility and technical contributions.
This skill follows a philosophy of neutrality, ensuring that data is observable without being turned into judgment. It provides raw scores, levels, and signals, making it ideal for builders who need a reliable way to assess onchain presence and developer activity across the web3 ecosystem. Because it treats absence as explicit data, users get a transparent view of an identity's footprint across multiple protocols.
BaseCred SDK Skill Use Cases
- Verifying the onchain credibility of potential collaborators or builders.
- Performing identity checks for DAO membership or governance participation.
- Assessing the account quality of Farcaster users to filter for high-value interactions.
- Researching builder and creator scores from Talent Protocol for recruitment or grant programs.
- Monitoring social credibility levels through Ethos Network vouches and reviews.
How BaseCred SDK Skill Works
- The user provides a target Ethereum address to the skill's CLI script.
- The skill initializes the BaseCred SDK, loading necessary API keys from the local environment configuration.
- Parallel requests are sent to Ethos Network, Talent Protocol, and Neynar (for Farcaster) to fetch available reputation metrics.
- Data is processed into semantic levels (e.g., Practitioner, Established) and recency buckets to indicate data freshness.
- A structured JSON or human-readable summary is returned, detailing the availability and specific scores from each source.
BaseCred SDK Skill Setup
To integrate this tool into your Openclaw Skills workflow, ensure you have Node.js 18+ installed. Navigate to your skills directory and install dependencies:
cd ~/.openclaw/workspace/skills/openclaw-basecred-sdk
npm install
Configure your environment variables in ~/.openclaw/.env with your API keys for full functionality:
# Optional: Enables Talent Protocol scores
TALENT_API_KEY=your_talent_api_key
# Optional: Enables Farcaster quality scores
NEYNAR_API_KEY=your_neynar_api_key
Ethos Network data is available without an API key.
BaseCred SDK Skill Data Schema & Taxonomy
The skill produces a structured reputation summary designed for easy parsing by other Openclaw Skills. Below is the primary data schema returned for each query:
| Field | Description |
|---|---|
address |
The queried Ethereum address |
availability |
Status of data sources (available, not_found, or error) |
data.ethos |
Scores, levels (Untrusted to Renowned), and review counts from Ethos Network |
data.talent |
Builder and Creator scores/levels (Novice to Master) from Talent Protocol |
data.farcaster |
Quality scores and pass/fail thresholds from Farcaster |
recency |
Freshness indicator (recent, stale, or dormant) |
BaseCred SDK Skill Advanced Features
- Support for multiple output formats including raw JSON, full profiles, and human-readable summaries for CLI use.
- Graceful degradation ensures the skill continues to function even if specific API keys are missing or sources are unavailable.
- Library integration allows the reputation logic to be imported directly into custom JavaScript or TypeScript workflows.
- Semantic level mapping translates raw numeric scores into meaningful human-readable tiers like Reputable or Master.
- Secure credential management ensures that no secrets are logged or written to disk during the reputation check process.
SKILL.md
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