Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.
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Updated
Sep 13, 2026 - Shell
Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.
Pre registration utility
Verification for the agent era. Your coding agent's PR summary cannot lie about its diff - one CI line. Plus the research: the first map of which AI minds can read each other. Every claim machine-verified against committed receipts, negatives included. pip install styxx
Node.js SDK is a connector library for the insanely fast CentralNic Reseller (formerly RRPProxy) Backend API.
In this repository you are going to find the documents we produced to support the discussion in our Digital Methods of the Month. These documents will help you orienting yourself if you want to pickup the method in your research. Go to the readme file
Pre-registered independent eval of TypeSafe Jev against a nano-class LLM, a frontier LLM, and a supervised encoder (Banking77 + CLINC150 zero-shot)
Research code: parameter symmetry and weight-space learning on sine-network implicit neural representations.
A theta-driven CA1 spiking model in which the standard gamma statistic reports the drive's harmonic comb rather than the rhythm, and no screen recovers it. Code, run logs and figures for the preprint.
A Quarto preregistration template for preregistering ecological modelling studies
GO/GOLANG SDK is a connector library for the insanely fast HEXONET Backend API.
Designing, Evaluating and Testing Preregistration Templates for Ecology and Conservation
Python SDK is a connector library for the insanely fast HEXONET Backend API.
🪞 Catch false positives/negatives in AI eval claims — pre-registration, fair-baseline, small-sample CI. Zero training, zero deps.
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.
BITSS Reproducibility Workshop, New Delhi March 2017
Historical RV15 forecasts for six U.S. stocks. Option state improves both families; the mixed B2 block improves the linear model only. Source-time assumptions, placebo and final-window limits remain material. Public aggregate checks are not an independent licensed-data replication.
Public connectomes as fixed reservoirs: load a real brain's wiring, simulate it as a spiking network, drive it, read it out — with controls and pre-registration. Experiment 001: two fly brains.
Cross-asset price impact is set-identified, not point-identified: the confounding gap has rank at most K + rank(B). A diagonal truth still yields a dense cross-impact matrix, and the trades immune to the resulting cost error form a large but measure-zero subspace. Preregistered and reproducible.
A nested, content-addressed benchmark family for vector search at 10^6-10^12 rows, with three independent notions of a correct answer. RC validation program complete: the generation-vs-memorization boundary is measured.
The Anchor Paradox — stake, steerability, and the threshold of silicon life. Original theory and measurement framework by Simin Yuan.
To associate your repository with the preregistration topic, visit your repo's landing page and select "manage topics."