What is the output format of an investigation?

Every investigation includes a flow map, an ownership/sourcing chain, evidence tier labels, and a textured risk/quality assessment.

When should I use the Deep Investigation Protocol?

Use it when evaluating brand trustworthiness, making high-stakes purchasing decisions, or investigating corporate behavior where marketing may hide operational reality.

How does this skill detect biased reviews?

It identifies red flags like affiliate disclosures on every product, lack of disclosure on methodology, and identical rankings across multiple SEO-driven sites.

Does this protocol support technical hardware analysis?

Yes, it specifically triggers for technical specs affecting quality, such as SSD component sourcing (TLC vs QLC) and manufacturing origins.

Can I use this for casual questions like where to eat?

No, the protocol is designed to skip low-stakes, trivia, or preference-based questions to remain budget-conscious and focused on depth.

Deep Investigation Protocol

Name: Deep Investigation Protocol
Author: bogheorghiu

bybogheorghiu

0•

Security & Testing

Conducts rigorous, multi-layered research to verify corporate claims and product reliability beyond marketing hype.

This skill transforms Claude into a critical researcher that investigates the divergence between marketing and reality. It employs a systematic framework to map data and money flows, verify claims through independent sources, and identify SEO-gamed reviews. Ideal for high-stakes purchasing decisions, privacy evaluations, and corporate accountability audits, it ensures conclusions are based on primary evidence rather than brand reputation or affiliate-driven consensus. It is particularly effective for technical audits where component quality and beneficial ownership are obscured by branding.

Key Features

01Systematic flow tracing of data, money, and operational control

02Risk and quality assessments based on independent lab testing and regulatory filings

03Brand-bias correction to account for historical reputation lag

040 GitHub stars

05Evidence tiering to distinguish between verified data and speculative claims

06Affiliate and SEO-gaming detection to filter out biased review sources

Use Cases

01Evaluating the privacy practices and surveillance risks of software platforms

02Analyzing corporate structures and ethical behavior for investment research

03Conducting technical due diligence on hardware components and manufacturing sourcing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bogheorghiu/cognitive-mechanisms deep-investigation-protocol

For use in Claude.ai and ChatGPT

Download Skill