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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install callmedas69/basecredExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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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