What is source omission analysis?

It is a research methodology that focuses on what sources choose not to report, using silence as a signal to identify their structural positions, funding influences, and inherent biases.

Does this skill work with a single research source?

No, this skill requires multiple sources from different perspectives to compare omissions and identify comparative gaps in reporting.

How does this help in detecting 'manufactured consensus'?

By analyzing what every source is NOT saying, you can determine if a lack of disagreement is due to universal truth or the active suppression of a specific, inconvenient narrative.

When should I trigger this Claude Code skill?

You should use it after completing a multi-source research sweep, when comparing ideological positions, or when a claim appears in some source categories but is absent from others.

Why is silence considered more informative than statements?

Silence is often evidence that a topic is inconvenient for a source's position or audience. It reveals structural constraints—like funding or access dependencies—more reliably than explicit claims.

Source Omission Analysis

Name: Source Omission Analysis
Author: bogheorghiu

bybogheorghiu

0•

Data Science & ML

Analyzes information gaps and silences across multiple sources to reveal structural biases, funding influences, and hidden narrative frames.

The Source Omission Analysis skill provides a systematic framework for evaluating multi-source research by focusing on what is unsaid rather than what is explicitly stated. By mapping reporting gaps against source backgrounds—such as funding, political leanings, and audience expectations—it helps researchers identify structural blind spots and uncover 'invisible' truths that traditional content analysis often misses. This capability is essential for investigative journalism, geopolitical analysis, and media bias evaluation, allowing users to build a more objective understanding of complex events through the intersection of omissions.

Key Features

01Detects manufactured consensus and suppressed narratives in media coverage

020 GitHub stars

03Identifies structural blind spots based on funding, access, and ideology

04Constructs Omission Maps to visualize reporting gaps across diverse perspectives

05Integrates with iterative verification protocols to refine evidence reliability

06Cross-references omissions to surface structurally hidden findings

Use Cases

01Investigating corporate or institutional silences on specific public interest topics

02Evaluating media bias and narrative framing in breaking news or geopolitical events

03Validating the completeness of research sweeps by identifying systematic exclusions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bogheorghiu/ex-cog source-omission-analysis

For use in Claude.ai and ChatGPT

Key Features

01Detects manufactured consensus and suppressed narratives in media coverage

020 GitHub stars

03Identifies structural blind spots based on funding, access, and ideology

04Constructs Omission Maps to visualize reporting gaps across diverse perspectives

05Integrates with iterative verification protocols to refine evidence reliability

06Cross-references omissions to surface structurally hidden findings

Use Cases

01Investigating corporate or institutional silences on specific public interest topics

02Evaluating media bias and narrative framing in breaking news or geopolitical events

03Validating the completeness of research sweeps by identifying systematic exclusions