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Meme Risk Radar

作者 2663629531 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
308
总下载
0
收藏
3
当前安装
1
版本数
在 OpenClaw 中安装
/install meme-risk-radar-skill
功能描述
Bilingual meme token risk radar for Binance Web3 data. Scan newly launched or fast-rising meme tokens from Meme Rush, enrich with token audit and token info,...
功能分析
Type: OpenClaw Skill Name: meme-risk-radar-skill Version: 1.0.0 The meme-risk-radar-skill is a legitimate tool designed to analyze and score the risk of meme tokens using Binance Web3 API data. The code implements a transparent 'pay-per-use' monetization model via the SkillPay service (billing.py), which is clearly documented in SKILL.md and README.md. It follows security best practices by using environment variables for API keys, maintaining a read-only posture (no trading capabilities), and providing clear risk disclaimers. No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
The skill's stated purpose (Binance Web3 meme token risk scanning) matches the code that calls Binance Web3 endpoints and produces risk reports. However the registry metadata declares no required env vars while SKILL.md documents several billing-related environment variables; the billing code looks for differently named env vars (e.g., build_billing_client checks SKILL_BILLING_API_KEY and SKILL_ID, while SKILL.md and other files reference SKILLPAY_APIKEY / SKILLPAY_*). This mismatch is incoherent and suggests the skill may require secrets not declared in metadata or the docs are out of sync with the implementation.
Instruction Scope
SKILL.md instructs running the bundled Python scripts (scan/audit/health). Those scripts perform only network calls (Binance Web3 API and the SkillPay billing endpoint) and local JSON output; they do not attempt to read unrelated system files or trading keys. This stays within the stated purpose. However the billing instructions direct the agent to read API keys from environment variables and call external billing endpoints; that external network I/O is expected but worth noting.
Install Mechanism
No install specification is provided (instruction-only skill plus bundled Python scripts). Dependencies are minimal (requests in requirements.txt). No downloads from arbitrary URLs or archive extraction are present in the manifest.
Credentials
The skill expects billing credentials for pay-per-call behavior, which is proportionate to the monetization design, but the implementation is inconsistent about which env vars are required: SKILL.md documents SKILLPAY_APIKEY / SKILLPAY_BILLING_URL / SKILLPAY_PRICE_USDT, billing code's SkillPayBillingClient defaults to SKILLPAY_BILLING_URL, but build_billing_client requires SKILL_BILLING_API_KEY and SKILL_ID. Tests and other files also reference SKILLPAY_APIKEY. These mismatches could cause the skill to throw errors, or (worse) developers/operators to set the wrong env var names and unintentionally expose keys to an external billing endpoint. The code sends the billing API key as an
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install meme-risk-radar-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /meme-risk-radar-skill 触发
  4. 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
First public release of Meme Risk Radar, a bilingual risk-first meme token scanner for Binance Web3. This version includes: - meme token discovery across new/finalizing/migrated stages - explainable risk scoring and audit enrichment - Chinese and English output - SkillPay pay-per-use billing support - documentation and ClawHub-ready packaging
元数据
Slug meme-risk-radar-skill
版本 1.0.0
许可证
累计安装 3
当前安装数 3
历史版本数 1
常见问题

Meme Risk Radar 是什么?

Bilingual meme token risk radar for Binance Web3 data. Scan newly launched or fast-rising meme tokens from Meme Rush, enrich with token audit and token info,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 308 次。

如何安装 Meme Risk Radar?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install meme-risk-radar-skill」即可一键安装,无需额外配置。

Meme Risk Radar 是免费的吗?

是的,Meme Risk Radar 完全免费(开源免费),可自由下载、安装和使用。

Meme Risk Radar 支持哪些平台?

Meme Risk Radar 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 Risk Radar?

由 2663629531(@2663629531)开发并维护,当前版本 v1.0.0。

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