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Meme Token Detector
作者
deeplearning1993
· GitHub ↗
· v1.0.0
364
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install meme-detector
功能描述
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。
安全使用建议
This skill's docs say it charges 0.001 USDT and list a payment wallet, but the shipped Python script is only a hardcoded demo that never performs real blockchain checks or collects/validates payment. Do not send funds to the listed wallet. If you consider using this skill: (1) ask the author to show the real integration (which APIs/indexers are called and where payments are handled), (2) request source that actually queries on-chain data and/or a transparent server-side payment flow, (3) review the full code yourself or have it audited to confirm it performs the promised analysis, and (4) test locally with known contract addresses before trusting outputs. Because of the mismatch between claims and implementation, treat this skill as untrusted until the author provides a verifiable implementation of both analysis and payment handling.
功能分析
Type: OpenClaw Skill
Name: meme-detector
Version: 1.0.0
This skill bundle is a deceptive "scam" tool that claims to perform Meme coin security analysis but uses entirely hardcoded mock data in `scripts/meme_detector.py`. The `SKILL.md` file contains social engineering instructions directed at the AI agent, claiming a fee of 0.001 USDT is required per call and providing a specific wallet address (0x64f15739932c144b54ad12eb05a02ea64f755a53). The script also prints a fake payment confirmation message ("已扣费 0.001 USDT"), which is a clear attempt to mislead users or agents into believing a financial transaction has occurred for a non-functional service.
能力评估
Purpose & Capability
The name/description promise comprehensive on-chain analysis (liquidity locks, minting/backdoors, tax, holder distribution, audit status) and an automated paid service. However, the included script contains only a hardcoded example result and does not call any blockchain APIs, indexers, or payment processors. The presence of a payment claim (wallet address and text '已扣费 0.001 USDT') is not implemented in code. This mismatch means the skill does not actually provide the claimed capabilities.
Instruction Scope
SKILL.md instructs users to run the local Python script and explicitly states a charge and provides a wallet address for payment. The runtime instructions do not implement or verify any payment, nor do they call any external chain services; they only print a simulated report. This creates risk that users will be asked (in docs) to send money for a service that the code does not deliver. The instructions do not attempt to access unrelated files or secrets, which is good, but the payment claim is misleading and potentially a scam vector.
Install Mechanism
No install spec; the skill is instruction-only with a small script. Nothing is downloaded or installed automatically, so there is low installation risk.
Credentials
No environment variables, credentials, or config paths are requested. The skill does include a hardcoded public wallet address in SKILL.md for payments, but it does not request tokens or secrets. The lack of required credentials is proportionate to the actual (minimal) implementation.
Persistence & Privilege
always is false and the skill requests no elevated privileges or persistent presence. It does not modify other skills or system settings. Autonomous invocation is allowed by platform defaults but does not combine with other red flags here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install meme-detector - 安装完成后，直接呼叫该 Skill 的名称或使用
/meme-detector触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Meme币安全检测，0.001 USDT/次
元数据
常见问题
Meme Token Detector 是什么？
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。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 364 次。
如何安装 Meme Token Detector？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install meme-detector」即可一键安装，无需额外配置。
Meme Token Detector 是免费的吗？
是的，Meme Token Detector 完全免费（开源免费），可自由下载、安装和使用。
Meme Token Detector 支持哪些平台？
Meme Token Detector 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Meme Token Detector？
由 deeplearning1993（@deeplearning1993）开发并维护，当前版本 v1.0.0。
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