Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Package installed in workspace: npm i basecred-sdk API keys in workspace .env: TALENT_PROTOCOL_API_KEY=<key> NEYNAR_API_KEY=<key> # optional β enables Farcaster scoring Ethos Network requires no key.
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. 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.
Summarize the three facets clearly: Ethos β score + credibility level + review sentiment + vouches. Flag hasNegativeReviews if true. Talent Protocol β builder score/level + creator score/level. Note verified status. Farcaster β quality score (0β1) and whether it passes threshold. Recency β 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.
Output schema + all level tables: references/output-schema.md β read when you need to map scores β levels or explain the shape of a response.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.