Search Results for "evidence"
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Showing 29 open source projects for "evidence"
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HowToLiveBetter
Evidence-based living guidelines sorted by cost-effectiveness
HowToLiveBetter is an evidence-focused interactive life guide that organizes hundreds of practical recommendations by cost, expected benefit, and strength of evidence. It covers health, longevity, emergency response, personal finance, legal risks, unemployment, entrepreneurship, relationships, parenting, travel, and skill development. Each recommendation explains what resources it costs and what outcome it is intended to improve. -
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how-to-live-better
Online single-page reading version of the 528-item "High-Value Life"
How to Live Better is a self-contained web reader for the open-source High Cost-Performance Life Guide. It renders all 32 sections and 528 recommendations from the upstream project into a single searchable HTML page. Each recommendation is presented as a card with evidence grade, value tier, and cost labels. Users can search the full guide, filter for top-grade evidence, or show only simplified explanations. A synchronized table of contents, responsive mobile layout, dark mode, and print support improve navigation. The page uses no external resources, so it can be opened and read entirely offline. ... -
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PaperSpine
Motivation-driven skill for learning from strong academic papers
...The project asks the agent to study target formats and strong examples before drafting or revising. It emphasizes the central motivation of a paper, helping writers connect claims, structure, evidence, citations, and revisions into a coherent argument. The suite includes specialized skills for research, citation, rewriting, LaTeX, auditing, translation, humanization, and updates. It is best suited for users who need format-aware, evidence-aware academic writing support rather than generic text generation. -
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REA: Reverse Engineer Anything
Reverse engineer anything with agents, from app behavior
REA (Reverse Engineer Anything) is an open-source, AI-powered reverse engineering toolkit that enables developers and AI agents to analyze software applications, native binaries, and runtime behavior. The platform uses the Model Context Protocol (MCP) to connect AI coding assistants with tools for inspecting compiled code, application structures, and software functionality. It supports reverse engineering of native executables, JavaScript and Electron applications, .NET assemblies, Android... -
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Quint Code
Structured reasoning framework for Claude Code, Gemini, and Cursor
Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. Instead of accepting the first plausible answer generated by an AI assistant, Quint Code encourages generating multiple competing hypotheses, verifying them, and validating them against real evidence stored in a structured “knowledge base” within your project. ... -
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reverse-skill
Reverse Engineering and Authorized Penetration Testing
...The package checks locally available tools and can bootstrap supporting scripts, MCP servers, and utilities when needed. Scope gates, case initialization, timelines, evidence chains, reports, and field journals encourage repeatable and auditable work. It supports clients such as Claude Code, Codex CLI, Cursor, and Cline across Windows, Linux, macOS, and Kali Linux. The repository also preserves reusable lessons so later investigations can avoid previously documented mistakes. -
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anti-slop
Opinionated Oxlint rules for rejecting low-evidence TypeScript
Anti-slop is an opinionated Oxlint rule set for rejecting low-evidence TypeScript and JavaScript patterns. It is designed to be copied into a repository and customized rather than consumed as a fixed npm dependency. Its rules target practices such as chained type assertions, unsafe dictionary types, broad object parameters, ad hoc runtime type checks, module mocking, and contracts that return unknown. -
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CampusShame
Crowdsource and document the reputational history of companies
...It compiles lists of companies that have had so-called “shameful” behaviors, such as rescinding offers, canceling intention letters, or terminating three-party agreements after acceptance, alongside a parallel list of companies without reported negative incidents. The project draws on publicly available anecdotes, snapshots, and forum posts from platforms such as NowCoder, Maimai, and Zhihu to provide evidence and context for each entry, preserving details that might otherwise be lost as threads get deleted or censored. It also includes commentary on recruitment pitfalls and encourages contributors to share their own experiences or corrections to keep the list up to date. -
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NeuroSploit
NeuroSploit is an advanced, AI-powered penetration testing framework
...The system performs reconnaissance, selects specialized agents for the discovered attack surface, and runs applicable assessments in parallel. Candidate findings are checked through cross-model validation and supporting tool evidence before being reported. It supports black-box, white-box, gray-box, infrastructure, and AI application security testing modes. NeuroSploit also provides a terminal interface, project memory, configurable model providers, structured reports, and a large library of specialized security agents. -
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Tailslayer
Library for reducing tail latency in RAM reads
Tailslayer is a cybersecurity and forensic analysis tool designed to extract and analyze artifacts from Tails OS environments. It focuses on uncovering traces of activity in systems that are designed to be privacy-preserving and ephemeral. The tool helps investigators identify residual data such as logs, configurations, or usage traces that may persist despite Tails’ security features. It is particularly relevant for digital forensics and research into privacy systems. Tailslayer emphasizes... -
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Marble Skill Taxonomy
Structured taxonomy of what children learn across the primary years
...It breaks curriculum content into fine-grained micro-topics instead of leaving learning goals as broad standards. Each topic includes subject, domain, age range, description, evidence criteria, assessment prompt, and stable identifiers. The dataset also defines prerequisite relationships, so developers can trace what a learner should master before a concept. It aligns micro-topics to national curriculum standards such as NGSS, Common Core, and the UK National Curriculum. It is useful for learning platforms, curriculum tools, tutoring systems, assessment products, and education research projects. -
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TestSprite
AI-powered automated testing from your terminal
...It supports scripting, deterministic output, JSON results, predictable exit codes, and dry-run behavior for automation. Overall, it helps teams turn AI-generated code into a more testable, repeatable, and evidence-backed development loop. -
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cs-paper-checklist
A final sanity checklist to help your CS paper get accepted
cs-paper-checklist is a practical review guide for computer science conference and journal submissions. It helps authors catch writing, structure, formatting, evidence, and presentation problems before submitting a manuscript. The checklist reviews titles, abstracts, introductions, related work, methods, experiments, references, figures, tables, and appendices. It emphasizes reproducibility, meaningful baselines, ablation studies, statistical reporting, and clear definitions. Dedicated writing checks address sentence length, paragraph size, passive voice, vague language, and undefined abbreviations. ... -
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Beautify GitHub README
Design clear, theme-specific GitHub README homepages
Beautify GitHub README is an agent skill for redesigning repository homepages around the actual identity and evidence of a software project. It begins by examining the repository before deciding how its README should be written or styled. Whole-README mode reorganizes copy, proof, hierarchy, Markdown, and visual presentation to make the project's value easier to understand. Asset-only mode can instead create heroes, section headers, diagrams, badges, workflows, or optional motion without rewriting existing content. ... -
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Tonic
Easy to audit, zero-dependencies and build-tool-free
...Tonic has no templating language, it uses HTML! But since HTML only understands string values, we need some help to pass more complex values to a component, for that we use this.html. There is no evidence that Virtual DOMs improve performance across a broad set of use cases, but it's certain that they greatly increase complexity. Tonic doesn't use them. Instead, we recommend incremental updates. -
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aictx
Repo-local continuity runtime for AI coding agents. Helps them continu
AICTX helps Codex, Claude, GitHub Copilot and other coding agents continue work across sessions by preserving the last useful execution state: active work, next actions, decisions, failures, validation evidence and repo context. The continuity idea is not to add more hidden memory or dump more context into the prompt. AICTX keeps operational continuity inside the repo: - active Work State and next action; - execution summaries and handoffs; - explicit decisions; - known failures and resolved failure patterns; - strategy hints from successful prior work; - execution contracts and contract-compliance signals; - optional RepoMap structural entry points; - continuity quality signals for stale, missing, demoted, obsolete, or unverified context; - read-only Task Context Packs for focused task-specific context; - lifecycle diagnostics for incomplete or unfinalized sessions; - optional Git-portable continuity for small teams. ... -
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paytia-saq-checklist
Free, plain-English PCI DSS SAQ checklists. SAQ A, A-EP, B, and D
...If you're a finance director or operations manager who's suddenly responsible for PCI compliance, they're rough going. This project translates the highest-impact controls from SAQ A, A-EP, B, and D into language a busy ops manager can use, with the evidence you'll need to gather for each one. WHAT'S INSIDE - 8-step decision guide to work out which SAQ actually appl -
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Sparx' EA - MDG for TRAK
MDG for Sparx' Enterprise Architect to Create TRAK arch. descriptions
Custom add-in (MDG technology) for Sparx Systems Enterprise Architect UML modelling tool (https://sparxsystems.com/products/ea/index.html) to create architecture descriptions using TRAK https://sf.net/projects/trak Provides: - the set of TRAK views that can be represented using UML and SysML . Each view display a custom toolbox palette with the objects and relationships that are needed for that TRAK view - relationships can be made directly from the objects on a view using the... -
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DevProjex
Turn any codebase into clean AI-ready context: GUI, TUI, CLI, MCP
...An open-source alternative to Repomix, gitingest, and code2prompt, with a visual file tree and live preview. Smart Ignore drops build output, dependencies, and caches based on real project evidence; Git modes pack only tracked, staged, changed, or diff files. Hide Secrets masks API keys, tokens, and passwords in every export; optional masking covers emails, IPs, and user paths. Syntax-aware compression keeps signatures and drops bodies across 20 languages, making code about 3x smaller. Export to Markdown, JSON, XML, ASCII, or save a clean project copy as a folder or ZIP. ... -
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TRAK Viewpoints
Specifications for TRAK architecture views
The architecture viewpoints (specifications for architecture views iaw ISO 42010) for TRAK. TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Defines a total of 24 viewpoints. The ones needed are selected by taking the task sponsor's concerns and matching them to the typical concerns that each TRAK viewpoint addresses. The triples that address... -
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UVU
UVU is an extremely fast and lightweight test runner for Node.js
UVU is a lightweight, ultra-fast JavaScript test runner for Node.js and the browser created by Luke Edwards (lukeed). Its primary goal is to minimize overhead: startup time, memory usage, and complexity are all kept very low so that developers can write and run tests with minimal friction. The tool supports modern features like async/await and native ES Modules, making it suitable for modern codebases. It also supports running in browser environments, which makes it versatile for frontend... -
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Metasploit Framework
Metasploit Framework
...Built-in features include an exploit database, network scanners, credential harvesters, and frameworks to craft reliable payload delivery while handling target nuances like mitigation bypasses and platform differences. Beyond raw exploitation, the framework includes post-exploitation tooling for lateral movement, persistence, data exfiltration simulations, and evidence collection, enabling red teams to exercise detection and incident response workflows. -
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Pyringe
Debugger capable of attaching to and injecting code into python
...This is invaluable for post-mortem diagnosis of production daemons where reproducing a bug in a dev shell is impractical. pyringe can inject arbitrary Python into the target process, enabling on-the-spot logging, state dumps, or gentle patching to keep a system limping along while you gather evidence. It’s also useful for forensic snapshots: enumerate objects of a certain type, find reference cycles, or measure memory pressure without pre-instrumentation. While powerful, it’s designed for careful, auditable use—showing exactly what code runs and where—so teams can regain visibility when black-box processes go sideways. -
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OnPosix
C++ library for POSIX systems.
OnPosix is a minimal C++ library that allows to speed-up development on embedded Posix platforms (e.g., Embedded Linux). Code available at https://github.com/evidence/linux-onposix -
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HRSS
Hybrid Relative Specificity Similarity based on Gene Ontology
This software provides a hybrid GO-based semantic similarity algorithm for evaluating the functional similarity between GO terms or gene products. The software uses the pre-downloaded GO database files and the GO annotation files. It allows the users to set organisms, and evidence codes ignored. The software is composed of five modules, getGODAG, getGOAnno, hrssmatrix, hrsstps and hrsspps.
