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opinion_analyst

Identify sentiment, stance, and bias from user-provided text.

2|Updated Mar 17, 2026
Search Tags:#scalability#nlp#sentiment#text-analysis#opinion-analysis#stance-detection#bias-measurement
One-click install
npx skills add https://github.com/jeremylongshore/oss-agent-lab --skill opinion-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opinion_analyst
Source: https://github.com/jeremylongshore/oss-agent-lab/tree/main/agents/specialists/opinion_analyst
Command: npx skills add https://github.com/jeremylongshore/oss-agent-lab --skill opinion-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Public opinion data is large, noisy, and hard to process at scale; Opinion Analyst provides fast, structured insights into sentiment, stance, and bias from text.

Core Features & Use Cases

  • Sentiment scoring at document, sentence, or aspect level with a confidence score.
  • Stance detection toward a named target to determine support or opposition.
  • Multi-dimensional bias measurement with per-dimension scores and flags for policy, media framing, and source considerations.
  • Use Case: Analyze social comments to summarize public reaction to a policy and identify major bias signals.

Quick Start

Analyze a sample user comment to extract sentiment, stance toward a target, and bias indicators.

Frequently Asked Questions about opinion_analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is stance detection and how does it identify support or opposition in text?▼

Stance detection identifies support or opposition toward a named target within user-provided text. It processes short messages, long-form content, or mixed inputs to return structured stance results alongside sentiment and bias measurements for downstream routing.

How do I extract sentiment and bias indicators from social comments to summarize public reaction?▼

Multi-dimensional bias measurement evaluates text to provide per-dimension scores and flags for policy, media framing, and source considerations. You can apply it to social comments to summarize public reaction to a policy and identify major bias signals.

What is the best way to get structured sentiment scores for downstream routing?▼

Opinion analysis works with short messages, long-form content, or mixed inputs without requiring external calls. It processes the provided text to output a deterministic structure including sentiment, stance, and bias measurements regardless of input length.

Does this approach require external API calls to measure bias and stance?▼

No external dependencies are required to perform sentiment scoring and bias measurement. The process requires no external calls beyond the input text and outputs a deterministic structure including sentiment, stance, and bias results directly.

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