stock-data-skill
OpenClaw Skill for stock data analysis
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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install callmedas69/basecredInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
npm i basecred-sdk
.env:
TALENT_PROTOCOL_API_KEY=<key>
NEYNAR_API_KEY=<key> # optional — 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:
hasNegativeReviews if true.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.
references/output-schema.md — read when you need to map scores → levels or explain the shape of a response.These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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.
OpenClaw Skill for stock data analysis
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