FairScale Solana Reputation Skill for Openclaw

A powerful tool for AI agents to evaluate Solana wallet reputation using over 50 on-chain signals and risk assessments.

risheea
v0.1.3
Feb 27, 2026
0
999
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install fairscale-solana-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install fairscale-solana-skill 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 FairScale Solana Reputation Skill?

FairScale is a comprehensive reputation layer for the Solana ecosystem, designed to provide developers and AI agents with real-time trust metrics. By leveraging over 50 distinct on-chain signals, this skill allows users to assign a score between 0 and 100 to any Solana wallet address. Whether you are building an automated trading bot or a community governance tool, integrating this into your Openclaw Skills library ensures your agent makes informed, data-driven decisions based on historical behavior and risk profiles.

The skill offers a multi-tiered scoring system—from Bronze to Platinum—enabling high-fidelity filtering for airdrops, whitelists, and financial transactions. With a generous free tier and an easy-to-scale credit system, FairScale is the go-to solution for developers looking to add a layer of security and reputation to their decentralized applications.

FairScale Solana Reputation Skill Use Cases

  • Verifying wallet trustworthiness before executing high-value transactions.
  • Filtering sybil attackers from airdrop lists or NFT whitelists.
  • Building automated lending platforms that require minimum reputation scores.
  • Enhancing AI agent decision-making logic with real-time risk assessments.
  • Gating access to premium services based on on-chain history and tier.

How FairScale Solana Reputation Skill Works

  1. The agent receives a Solana wallet address as input.
  2. A request is sent to the FairScale API endpoint to fetch the wallet's reputation data.
  3. FairScale analyzes 50+ on-chain signals, including transaction history, age, and volume.
  4. The skill returns a JSON response containing the reputation score, tier, and specific risk levels.
  5. For complex scenarios, the agent can apply custom rules to validate specific criteria like rug history or minimum transaction counts via Openclaw Skills.

FairScale Solana Reputation Skill Setup

To get started with this skill in your Openclaw Skills workflow, no API key is required for the initial 100 calls per day. Simply direct your requests to the base API.

# Example: Get a wallet reputation score
curl "https://x402.fairscale.xyz/score?wallet=YOUR_WALLET_ADDRESS"

For higher limits and advanced features:

  1. Send USDC to the FairScale deposit address: fairAUEuR1SCcHL254Vb3F3XpUWLruJ2a11f6QfANEN.
  2. Call the /credits/deposit endpoint to receive a session token.
  3. Include the x-session-token in your request headers.

FairScale Solana Reputation Skill Data Schema & Taxonomy

FairScale organizes data into a structured format that categorizes wallets by tiers and specific rule results. The following table describes the core data returned by the reputation skill:

Attribute Description
wallet The Solana address being analyzed.
fairscore A numerical value from 0 to 100 representing trust.
tier Classification (Platinum, Gold, Silver, Bronze).
risk_level Assessment for transactions (e.g., low, medium, high).
_meta Contains technical metadata like remaining daily calls.

For custom rules, results include detailed comparisons between required and actual values for signals like transaction count and volume.

FairScale Solana Reputation Skill Advanced Features

  • Batch processing for scoring multiple wallets in a single request.
  • Customizable rule engines to define specific thresholds for lending or gating.
  • Transaction-specific risk assessment for suggested USD limits.
  • Session token management for scalable, high-volume credit-based usage.
  • Seamless integration with Openclaw Skills for multi-agent autonomous workflows.

SKILL.md


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