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BaseCred

BaseCred 技能:通过 Node 脚本调用 BaseCred SDK,为指定 0x 地址聚合 Ethos、Talent Protocol 与 Farcaster/Neynar 三来源的链上声誉数据,输出 JSON 结果,并按 references/output-schema.md 的等级表将原始分数转换为可信度、Builder/Creator、Farcaster 质量等级与时效状态。

callmedas69
callmedas69
热度 96.59
最近更新 2026-05-11 15:53:20
分类:数据依赖:代码执行 / 第三方 API / 读写文件应用场景:研究 / 报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add basecred
Metadata
name
basecred
description
Fetch onchain reputation profiles via BaseCred SDK (Ethos, Talent Protocol, Farcaster/Neynar). Use when the user wants to check wallet reputation, builder score, creator score, Ethos credibility, or Farcaster account quality for any 0x address. Supports multi-source unified profiles with level derivation and recency tracking.

BaseCred — Onchain Reputation Queries

Prerequisites

  1. Package installed in workspace: npm i basecred-sdk
  2. API keys in workspace .env:
    TALENT_PROTOCOL_API_KEY=<key>
    NEYNAR_API_KEY=<key>          # optional — enables Farcaster scoring
    
    Ethos Network requires no key.

Quick workflow

  1. Run the query script from the workspace:

    node /path/to/skills/basecred/scripts/query.mjs <0x-address>
    

    The script auto-locates node_modules/basecred-sdk and .env by walking up from cwd. Run it with cwd set to the workspace.

  2. Parse the JSON output and present results to the user. Use the level tables in references/output-schema.md to translate raw scores into human-readable levels.

Presenting results

Summarize the three facets clearly:

  • Ethos — score + credibility level + review sentiment + vouches. Flag hasNegativeReviews if true.
  • Talent Protocol — builder score/level + creator score/level. Note verified status.
  • Farcaster — quality score (0–1) and whether it passes threshold.
  • Recency — recent / stale / dormant. Mention if stale or dormant as a caveat.

Highlight actionable signals: e.g. zero vouches on Ethos is an easy win, or a dormant Talent score that needs activity.

Reference

  • Output schema + all level tables: references/output-schema.md — read when you need to map scores → levels or explain the shape of a response.