basecred
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.
Best use case
basecred is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using basecred should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/basecred/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How basecred Compares
| Feature / Agent | basecred | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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