RugCheck

Analyze Solana tokens for rug pull risks using the RugCheck API (rugcheck.xyz). Use when asked to check a Solana token safety, risk score, liquidity, holder distribution, metadata mutability, or insider trading patterns. Also use for discovering trending, new, or recently verified Solana tokens. Triggers on token check, rug check, token safety, Solana token analysis, is this token safe, token risk score, LP locked, holder concentration.

This skill appears to do what it says: it sends token mint addresses to rugcheck.xyz and returns public risk reports. Before installing, consider: (1) Queries will reveal which token mint addresses you ask about to a third party (rugcheck.xyz) — avoid sending any sensitive/private data. (2) The SKILL.md mentions bulk endpoints that require a wallet JWT; the skill does not attempt to obtain any JWTs automatically, but you should not provide private keys or wallet secrets. (3) Rate limits may apply; the script respects basic error handling but you may want to throttle repeated queries. If you need full privacy or offline analysis, use your own tooling or self-hosted analyzers instead.

Type: OpenClaw Skill Name: rugcheck Version: 1.0.0 The OpenClaw AgentSkills bundle is benign. The `SKILL.md` provides clear instructions for the AI agent, aligning with the stated purpose of analyzing Solana tokens via the RugCheck API. The `scripts/rugcheck.sh` script uses `curl` to interact exclusively with `https://api.rugcheck.xyz`, and includes robust input validation for Solana mint addresses, preventing command injection. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the agent for harmful objectives.