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Part of Extract Cognitive Frameworks From Any Person

Engineering Blueprint

Extract and Verify Research Data

0June 2026

Utility scripts and validation workflows for collecting primary sources, synthesizing research across dimensions, and quality-checking mental model extraction.

What problem does this solve?

Provides tooling to ensure research quality across the distillation pipeline. Includes parallel agent coordination for 6-dimensional source collection (writings, conversations, expression, external views, decisions, timeline), automated research aggregation, quality validation against known positions and edge cases, and triple-verification of mental models before deployment.

How does it work?

  1. Invoke research tools via CLI or agent delegation: download subtitles from video sources, clean transcripts, merge multi-agent research outputs. 2. Run quality checks: python3 quality_check.py <SKILL.md> validates 6 dimensions (model count, epistemic boundaries, expression DNA, research coverage, source diversity). 3. Use validation workflows: test extracted framework against 3 known positions (sanity check), 1 unknown question (edge case), and voice consistency audit. Output: quality report with PASS/FAIL per dimension and remediation guidance.

Included Skills

No skills in this group

What's required to run this?

Scripts are located in [skill]/scripts/ directory: download_subtitles.sh (bash, requires youtube-dl or yt-dlp), srt_to_transcript.py (Python 3.7+), merge_research.py (Python 3.7+), quality_check.py (Python 3.7+). If running the orchestrator offline or in a constrained environment, these scripts enable local validation without agent delegation. Requires the skill directory structure (references/research/ subdirectories) to exist before running merge or validation scripts.

Key Features

Subtitle Download & Transcript Cleaning

Automated video-to-text pipeline prioritizing human captions, supporting multiple formats (SRT, VTT), outputting clean readable transcripts

Multi-Agent Research Merge

Aggregates outputs from 6 parallel research agents, counts sources, calculates primary/secondary ratio, surfaces contradictions and information gaps

6-Dimension Quality Validator

Checks mental model count (3-7 range), epistemic boundaries specificity, expression DNA distinctiveness, research attribution density, internal coherence, and confidence calibration

Voice & Sanity Testing

Runs extracted framework against 3 public positions of the person/topic, edge case questions, and writing-sample comparison to catch fabrication or misattribution

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Account Manager at G2