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Social Sentiment
by
Avital Yachin
· GitHub ↗
· v1.4.0
5051
Downloads
4
Stars
13
Active Installs
5
Versions
Install in OpenClaw
/install social-sentiment
Description
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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install social-sentiment - After installation, invoke the skill by name or use
/social-sentiment - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Social Sentiment?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 5051 downloads so far.
How do I install Social Sentiment?
Run "/install social-sentiment" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Social Sentiment free?
Yes, Social Sentiment is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Social Sentiment support?
Social Sentiment is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Social Sentiment?
It is built and maintained by Avital Yachin (@atyachin); the current version is v1.4.0.
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