Meme Signal Evaluator

6-dimensional scoring engine for meme tokens with automated paper trading simulation. Use this skill when users ask to evaluate/score meme tokens, set up buy...

This skill appears to be a high-level scoring and paper-trading design rather than a ready-to-run integration. Before installing or using it: 1) Ask the author (or vendor) for the concrete data sources/endpoints and whether you need API keys or paid subscriptions for Token Dynamic, Smart Money feeds, Topic Rush, Social Hype, etc. 2) Do not paste API keys or secrets into the skill without knowing exactly where they will be stored/used — the SKILL.md does not declare required env vars or where credentials would live. 3) If you plan to let the agent execute trades (even paper trades), confirm network access, logging, and how trade records are stored; run initial tests in a sandboxed environment. 4) Prefer skills with a clear source repo, documentation, and explicit list of required credentials; absence of provenance increases risk. Providing that additional information (source code or explicit integration instructions and required env vars) would raise confidence.

Type: OpenClaw Skill Name: meme-signal-evaluator Version: 0.1.0 The skill bundle defines a comprehensive logic for a meme token scoring engine and paper trading simulator. The instructions in SKILL.md outline a systematic 6-dimensional evaluation process (Smart Money, Social, Trend, Inflow, KOL, and Hype) and include defensive measures such as penalties for honeypots or high-risk tokens. There is no evidence of malicious intent, data exfiltration, or prompt injection designed to compromise the agent or the host system.