Matt Beane
GitHub
16 repos
9 followers
Explained projects
mattbeane/research-quals: The Competency Gate for the AI Era
How a Python CLI uses LLM evaluators to withhold advanced automation until researchers prove they can do the work manually.
8 min read · Apr 4, 2026
Yet to be explained
living-paper
Bidirectional claim-evidence traceability for qualitative research
Python
8 stars
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understudy
Understudy: an AI that learns to write in your voice. Method + reference implementation, no private data.
Python
7 stars
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theory-forge
Turn dormant research data into submittable papers using AI-assisted analysis
Python
7 stars
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beads-viz-prototype
Prototype: Web-based visualization for Beads issue tracking
Python
4 stars
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skill-issues
Anti-skills for Claude. You already have these skills. Now they're documented.
3 stars
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4f-method
The 4F Method: Four-Function Fractal software development. Recursive specification → bottom-up implementation.
2 stars
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claudehammer
Auto-click permission prompts in Claude Code. Stop babysitting your AI assistant.
Lua
1 stars
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knowledge-centrifuge
Extract defensible value from professional backlogs
TypeScript
1 stars
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qual-eval
Qualitative content evaluation toolkit - discover, measure, and calibrate quality dimensions
Python
1 stars
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ClaudeShame
When Claude tics, Claude pays. Public chalkboard for overused Claude phrases — Stop hook detects, forces Claude to write lines, posts to a Bart-style chalkboard with a leaderboard.
TypeScript
0 stars
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measure-twice-workflow-analyzer
Monte Carlo LLM workflow analyzer — the prototype from the Measure Twice, Spend Once workshop
Python
0 stars
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model-fingerprint
LLM family attribution for academic text — identify which frontier model (OpenAI, Anthropic, Google, Meta) generated a given document
Python
0 stars
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ClassAIPolicy.github.io
Analysis of publicly available AI policies for classes
HTML
0 stars
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