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Social Sentiment
作者
Avital Yachin
· GitHub ↗
· v1.4.0
5418
总下载
4
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install social-sentiment
功能描述
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.
安全使用建议
Install only if you are comfortable authorizing Xpoz via the setup skill and installing the `mcporter` npm binary. Keep searches narrow, treat exported posts as potentially personal data, store CSVs in a protected location, and delete or aggregate raw exports when they are no longer needed.
功能分析
Type: OpenClaw Skill
Name: social-sentiment
Version: 1.4.0
The skill is classified as suspicious due to its instruction to install the `mcporter` binary via `npm` in `SKILL.md`. Installing packages from `npm` can execute arbitrary code during the installation process, posing a significant supply chain risk. While the skill's stated purpose and network interactions with `mcp.xpoz.ai` appear legitimate, the reliance on installing and executing an external binary via a package manager introduces a critical vulnerability that could be exploited for malicious purposes.
能力评估
Purpose & Capability
The stated purpose is brand and product sentiment analysis, and the artifact instructions match that purpose: query social platforms, download CSV exports, analyze with Python/pandas, and report trends.
Instruction Scope
The workflow is user-directed by brand/query, platform, and date range, but it can export tens of thousands of public social posts, so users should scope searches narrowly and handle results as potentially sensitive data.
Install Mechanism
The skill clearly discloses installation of the external npm package `mcporter` and uses it for the documented Xpoz MCP calls; this is a supply-chain trust consideration, not evidence of hidden behavior in the skill artifact.
Credentials
Network access to `mcp.xpoz.ai` and Xpoz account/OAuth setup are disclosed and proportionate for a hosted social-data integration.
Persistence & Privilege
The skill suggests storing CSV exports under `data/social-sentiment/` for trends, which is purpose-aligned but should include stronger retention, access-control, and cleanup guidance.
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 social-sentiment - 安装完成后，直接呼叫该 Skill 的名称或使用
/social-sentiment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
v1.4.0
Added setup section, removed curl
v1.3.0
Trimmed SKILL.md, added install spec
v1.2.0
SEO: optimized name, description and tags for discoverability
v1.1.0
v1.1: Bulk CSV download + Python/pandas analysis at scale (10K-64K posts). No more sampling — full dataset analysis.
v1.0.0
Initial release: multi-platform sentiment analysis (Twitter, Reddit, Instagram) via Xpoz MCP
元数据
常见问题
Social Sentiment 是什么？
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 5418 次。
如何安装 Social Sentiment？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install social-sentiment」即可一键安装，无需额外配置。
Social Sentiment 是免费的吗？
是的，Social Sentiment 完全免费（开源免费），可自由下载、安装和使用。
Social Sentiment 支持哪些平台？
Social Sentiment 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？
由 Avital Yachin（@atyachin）开发并维护，当前版本 v1.4.0。
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