Overview
- Skill Key
- callmedas69/basecred
- Author
- callmedas69
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/callmedas69/basecred
- Latest Commit SHA
- 9b0bd3454946a9ce06d6ad4248db40629b040e47
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.
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0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 basecred 技能。 若已安装,则直接安装 basecred 技能。
# 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: ```bash 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.
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