Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
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.
skill openclawclawhub Free
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.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.4.0
Provenance
- Publisher
- atyachin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Social Sentiment
Analyze brand sentiment from live social conversations at scale. Surfaces themes, flags viral complaints, compares competitors. Analyzes 1K-70K posts via bulk CSV + Python.
Setup
Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus
Step 1: Search Platforms
Queries: (1) "Brand" (2) "Brand" AND (slow OR buggy) (3) "Brand" AND (love OR amazing) mcporter call xpoz.getTwitterPostsByKeywords query='"Notion"' startDate="YYYY-MM-DD" mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll 5s Repeat for Reddit/Instagram. Default: 30 days.
Step 2: Download CSVs
Use dataDumpExportOperationId, poll with checkOperationStatus for download URL (up to 64K rows).
Step 3: Analyze
Python/pandas: import pandas as pd df = pd.read_csv('/tmp/twitter-sentiment.csv') POSITIVE = ['love', 'amazing', 'best', 'recommend'] NEGATIVE = ['hate', 'terrible', 'worst', 'broken'] def classify(text): t = str(text).lower() pos = sum(1 for k in POSITIVE if k in t) neg = sum(1 for k in NEGATIVE if k in t) return 'positive' if pos>neg else ('negative' if neg>pos else 'neutral') df['sentiment'] = df['text'].apply(classify) Extract themes, find viral by engagement. Customize keywords.
Step 4: Report
Sentiment: 72/100 | Posts: 14,832 😊 58% | 😠 24% | 😐 18% Themes: Performance (2K, 81% neg), UX (1.8K, 72% pos) Viral: [Top 10] Score: Engagement-weighted, 0-100. Include insights.
Tips
Download full CSVs | Reddit = honest | Store data/social-sentiment/ for trends
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md