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在 OpenClaw 中安装
/install shenmeng-social-sentiment-monitor
功能描述
社交媒体舆情监控助手 - 实时监控Twitter、Reddit等平台的加密货币讨论、情绪分析和热点追踪。 当用户需要以下功能时触发此skill： (1) 监控特定代币或项目的社交媒体讨论热度 (2) 分析社区情绪变化（看涨/看跌/恐慌/FOMO） (3) 追踪KOL和大V的发言动向 (4) 发现 viral 内容...
安全使用建议
This skill appears to implement the advertised monitoring functionality, but it has two issues you should resolve before running it: (1) payment.py includes a hardcoded billing API key — treat this as a secret leak. Do not run the code until that key is rotated/removed and billing is configured via environment variables you control. (2) The SKILL.md and reference docs expect many API tokens (Twitter/Reddit/LunarCrush, Telegram/Discord webhooks) but the skill metadata does not declare them; verify which credentials you must supply and avoid providing unrelated high-privilege secrets. Additional steps to consider: review payment provider endpoints and terms, inspect network calls (e.g., via a sandbox) to confirm no unexpected exfiltration, run the scripts in an isolated environment, and if you plan to pay/use SkillPay, confirm the legitimacy of skillpay.me and rotate any leaked keys. If you are not comfortable with the embedded key or automatic billing checks, do not install or run this skill.
功能分析
Type: OpenClaw Skill
Name: shenmeng-social-sentiment-monitor
Version: 1.0.2
The skill bundle is a comprehensive social media sentiment monitoring tool for cryptocurrency markets, including components for FUD detection, KOL tracking, and automated reporting. It features a transparent monetization system via `payment.py` that integrates with an external billing service (skillpay.me) to charge 0.01 USDT per call. While the provided scripts (e.g., `fud_detector.py`, `token_sentiment.py`) currently utilize mock data for demonstration, the documentation in `references/api-configuration.md` provides clear instructions for real API integration. No evidence of data exfiltration, malicious execution, or unauthorized persistence was found; the hardcoded API key in `payment.py` is a developer-side security flaw rather than a malicious payload targeting the user.
能力标签
能力评估
Purpose & Capability
The functionality (monitoring Twitter/Reddit, sentiment, KOLs) aligns with the name/description, but the package embeds a SkillPay billing integration with a hardcoded API key in payment.py and _meta.json declares billing envs — yet the skill manifest lists no required environment variables. Billing integration itself is plausible for a paid skill, but the way credentials are handled (hardcoded key, conflicting metadata) is disproportionate and inconsistent with the declared requirements.
Instruction Scope
SKILL.md instructs running local scripts (token_sentiment.py, sentiment_daemon.py, etc.) and provides config examples referencing many API tokens (TWITTER_*, REDDIT_*, TELEGRAM_BOT_TOKEN, DISCORD_WEBHOOK_URL). The shipped scripts are mostly simulation/mocked-data generators (no mandatory network calls), but the documentation provides examples using real APIs. The runtime instructions do not explicitly direct the agent to read arbitrary system files beyond a config file, but they do assume and reference secrets that are not declared in the skill manifest.
Install Mechanism
There is no install specification (instruction-only), so nothing will be downloaded or installed automatically by the platform. The risk from the install mechanism is low. Note: the repository includes executable Python scripts which will run if the user executes them locally.
Credentials
The skill manifest claims no required environment variables, but SKILL.md and references clearly expect multiple API keys/tokens (Twitter, Reddit, LunarCrush, Santiment, TELEGRAM_BOT_TOKEN, DISCORD_WEBHOOK_URL). Critically, payment.py contains a long hardcoded BILLING_API_KEY literal (cleartext secret) and _meta.json documents billing env names (SKILLPAY_API_KEY, SKILLPAY_USER_ID). Hardcoding a billing API key in code is a significant red flag (credential mishandling and potential misuse).
Persistence & Privilege
The skill is not marked always:true and uses normal autonomous invocation settings (disable-model-invocation: false). It does create/read a config file (config.yaml) and a log file (sentiment_monitor.log) when run. The combination of autonomous invocation (platform default) plus an integrated billing endpoint means the skill could attempt to perform billing checks/charges at start; this increases impact if the embedded billing key or remote billing endpoints are malicious or abused.
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 shenmeng-social-sentiment-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/shenmeng-social-sentiment-monitor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
v1.0.2
Version 1.0.2 of shenmeng-social-sentiment-monitor
- No file changes detected; documentation and core workflow remain the same.
- All core features, usage instructions, configuration samples, and risk disclaimers are unchanged from the previous version.
v1.0.20250410
- Initial release of Social Sentiment Monitor skill.
- Real-time monitoring of crypto discussions across Twitter, Reddit, Telegram, and Discord.
- Supports analysis of community sentiment, hot topic tracking, KOL monitoring, and viral content discovery.
- Provides FUD/negative sentiment alerts and auto-generates sentiment/trend reports.
- Integrates with SkillPay, charging 0.01 USDT per use via BNB Chain.
v1.0.1
Version 1.0.1 of shenmeng-social-sentiment-monitor
- No changes detected in this release.
- Functionality, configuration, and documentation remain unchanged.
- This update is intended to maintain versioning consistency.
v1.0.0
Initial release – 社交媒体舆情监控助手，上线 1.0.0 版本。
- 实时监控 Twitter、Reddit、Telegram、Discord 等平台的加密货币讨论与情绪分析
- 自动追踪热点话题、KOL发言、负面舆情（FUD）和病毒式内容
- 多种情绪指标（看涨/看跌/恐慌/FOMO）和综合报告生成
- 支持关键词、KOL和多平台自定义监控，支持付费 SkillPay 调用
- 提供丰富脚本与配置，集成主流社交与链上数据源
- 支持自动预警、通知及详细情绪/讨论热度评分
元数据
常见问题
Social Sentiment Monitor 社媒舆情监控 是什么？
社交媒体舆情监控助手 - 实时监控Twitter、Reddit等平台的加密货币讨论、情绪分析和热点追踪。 当用户需要以下功能时触发此skill： (1) 监控特定代币或项目的社交媒体讨论热度 (2) 分析社区情绪变化（看涨/看跌/恐慌/FOMO） (3) 追踪KOL和大V的发言动向 (4) 发现 viral 内容... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 157 次。
如何安装 Social Sentiment Monitor 社媒舆情监控？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install shenmeng-social-sentiment-monitor」即可一键安装，无需额外配置。
Social Sentiment Monitor 社媒舆情监控 是免费的吗？
是的，Social Sentiment Monitor 社媒舆情监控 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Social Sentiment Monitor 社媒舆情监控 支持哪些平台？
Social Sentiment Monitor 社媒舆情监控 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 Social Sentiment Monitor 社媒舆情监控？
由 shenmeng（@shenmeng）开发并维护，当前版本 v1.0.2。
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