meme-detector检测新Meme币是否为Rug Pull骗局,分析合约安全性、流动性锁定、持币分布、买卖税等。评分0-100分。每次调用收费0.001 USDT。触发词:meme检测、rug check、代币安全、防骗、meme币安全。
Install via ClawdBot CLI:
clawdbot install deeplearning1993/meme-detectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Individual investors or traders use this skill to quickly assess the safety of new meme tokens before making investment decisions, helping them avoid potential rug pulls and scams by analyzing contract security and liquidity locking.
Decentralized finance platforms integrate this skill to provide automated security checks for listed tokens, enhancing user trust by displaying risk scores and detailed safety analyses directly on their interfaces.
Educational platforms or influencers utilize this skill to teach beginners about meme token risks, demonstrating real-time analyses of contract vulnerabilities and distribution patterns to promote safer investment practices.
Compliance teams in crypto firms employ this skill to screen tokens for regulatory risks, focusing on aspects like liquidity locking and whale concentration to flag potentially fraudulent assets during due diligence processes.
Crypto communities and DAOs use this skill to crowdsource security assessments of new meme tokens, sharing results in forums or social media to collectively identify and warn about risky projects before widespread adoption.
Charges a small fee of 0.001 USDT per analysis, targeting users who need occasional checks without subscription commitments. Revenue scales with usage volume, appealing to casual investors and small-scale platforms.
Offers tiered subscription plans for businesses like DeFi platforms or trading tools, providing bulk access to the detection service with higher rate limits and priority support. This ensures steady recurring revenue from institutional clients.
Licenses the skill's technology to other crypto services, such as wallets or exchanges, for embedding as a branded feature. Partners pay licensing fees or revenue shares based on usage, expanding market reach without direct user acquisition costs.
💬 Integration Tip
Integrate via a simple command-line script or API call with the contract address; ensure users have USDT for fees and access blockchain data for accurate analysis.
Scored Apr 19, 2026
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,...
全面排查企业的经营风险情况,适用于供应商准入尽调、贷前风险筛查、合作伙伴背景调查等场景,全方位预警潜在经营风险,辅助决策者规避合作隐患。
Security scanner for AI agent skills. 9 built-in detection signatures. Identifies secrets, unsafe execution patterns, and prompt injection. Sub-50ms results.
Wallet anti-theft guard. One-click scan for high-risk wallet approvals to protect user assets. Use when a user asks for a wallet security check, wallet healt...
Comprehensive security audit for an agent's full skill stack. Chains scanner, differ, trust-verifier, and health-monitor into a single assessment with priori...
Audit and score OpenClaw AgentSkills against structural compliance, quality standards, and OpenClaw-specific architecture patterns. Produces a 0-100 score wi...