A portable agent skill for sharpening research questions.
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Updated
Jun 30, 2026 - PowerShell
A portable agent skill for sharpening research questions.
Pressure-test research claims with falsifiable evidence plans, adversarial checks, frozen verifiers, and proof ledgers.
A personal learning environment that helps you find your unknown unknowns by grilling you against the consensus research on a particular topic or question.
Improve scientific collaboration in AI-assisted research. Citation validation, claim verification, cross-file consistency.
This repository contains a solutions for the exercises in the "Math Concepts For Developers" course at SoftUni .
11 problem-shaped skills backed by 97 sourced reasoning patterns — Curie to Toulmin, as Claude Code agents. Every claim cites its source; a pre-commit gate blocks unsourced constants. Install the gates alone in 30s (zetetic-gates). The only agent system where "I don't know" is a feature.
Structured observation management for research agents
A method for keeping AI-assisted research honest: pre-registration + an independent agent that recomputes every claim from raw data. Forged on markets — 16 certified dead hypotheses. Runnable demo included.
A scientific-method lab notebook your AI agent drives — research as a tree of questions and falsifiable hypotheses in plain markdown, with an LLM literature wiki, a browser GUI cockpit, and autoresearch.
Scientific TDD for AI coding agents: pre-registration before data, claims audit before submission, external novelty gate, reproducibility. Claude Code + 4 platforms.
MCP server for Claude Desktop that applies Popperian falsifiability to verify claims from social media, news and blogs — with real academic sources, not opinions.
FlatEarthers unite, organise and produce. Document your proofs and help make an archive that anyone can reference at any time. We want FEU in every country, thus all languages. Lets bridge the gap between those that know Earth's measured flat & those that simply believe what they've been taught.
科研工作流 Claude 技能:覆盖选题、文献、方法、实验、写作、自审、Rebuttal、投稿九大阶段,支持 mentor / reviewer / mixed 三种模式(触发词含 reviewer mode、审查模式、mixed mode、混合模式),充当贴身导师与挑刺审稿人。
Your agents change the code, then explain why. This skill makes them bet on the result first.
Scientist agent mode for AI coding agents — hypothesis-driven, evidence-based, uncertainty-aware.
ASRP (AI Scientific Research Platform) Desktop — Multi-Agent collaborative scientific research platform
Minimal discovery harness: an LLM agent invents its own questions, commits predictions before running experiments, and archives only machine-verified, reality-culled claims — with self-evolving methodology. Pluggable worlds: Python internals, Game of Life, any territory with an executable oracle.
Measure-before-you-ship discipline for Claude Code — a methodology skill, an experiment-reviewer agent, and a drop-in benchmark harness
A conservation-honest diagnostic framework for auditing early-universe models and separating physical dynamics from descriptive bookkeeping.
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