mast

The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.

Tools for making image cutouts from sets of TESS full frame images

A curated collection of Jupyter Notebooks, brought to you by the team at MAST.

High level walk-through, notebooks and features of the STScI Time series Integrated Knowledge Engine.

最新のVisual Studio 2019でFLTKを使うプロジェクトのテンプレート。主にインタラクティブCG用。

A solr plugin for ingesting oai-pmh records.

Unified AI stack: MCP servers, provider routes, task chains, memory, scheduler & local fallback. 21 MCP servers. Zero cloud cost.

Curves of Light from TESS (COLTESS): photometry tool for TESS FFIs

A Claude skill for Webflow projects built on the Mast Framework

M4STCLAW v5 + OpenWork + EIGENT — Unified Autonomous Agent Infrastructure.

Agent Trace Analysis Platform (atap) — pluggable pipeline for trace representation, analysis, error classification, failure attribution and recovery for LLM agents

Personal AppSec engineering handbook: secure SDLC, DevSecOps, threat modeling, framework mappings, architecture patterns, tooling evaluation, finding writeups.

A Home Assistant integration that reports what state the flag should be at by federal and state guidance

Project TIKEBook is an open-source textbook. Learn how to do astronomy on TIKE, the TESS-focused cloud science platform from STScI.

Playing with the taproot functionality of the rust-bitcoin crate by generating taproot pubkeys and merkelized alternative script trees

Approximate memory, exact accountability — flight recorder & MAST failure attribution for AI agents: 9-tool MCP server, first-fault bisect, cycle-repetition detection, outcome verification, query DSL with stats, self-healing store doctor, Wilson-scored benchmarks with CI-enforced floors, fleet trend dashboards, tamper-evident evidence. Zero deps.

Dockerized MAST (Model-based Analysis of Single-cell Transcriptomics) for computing genes that are differentially expressed in each cluster compared to the rest of the data.