CRAB (Clean Rebuild of Anything's Behavior): rebuild software from behavior, not source code. An MCP-powered toolkit for black-box observation, clean-room reimplementation, and behavioral verification.

behavioral-testing 开源项目推荐(47 个)
behavioral-testing 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 47 个仓库AgentBehaviorBench (ABB): A benchmark for evaluating AI agents’ ability to test other agents and detect behavioral defects.
Community-driven behavioral reliability benchmark for LLMs. 231 probes across 19 modules, deterministic scoring, perplexity correlation, layer sensitivity mapping, quant method capture, hardware-stratified community rankings. Every test contributes to the community dataset.
Runtime behavioral contracts for AI agents: define YAML contracts, check adapter outputs, and raise explicit contract violations. Agent Behavioral Contracts (ABC).
Execution-grounded semantic clone detection for JS/TS — finds functions that behave the same but are written differently, then runs them in a sandbox to prove which one is wrong.
Prove web features work in a real browser—with persistence, source-of-truth, replay, and CI evidence.
LLM drift detector — know within 5 min when GPT-4o, Claude, or Gemini silently changes behaviour. Open source, self-hostable.
Executable behavioral contracts and hidden-evaluation harness for coding agents across nine software domains.
🩺 Behavioral testing for skill triggers — diagnose why a skill never fires (or fires too often), prescribe a fixed description, save a regression suite. One SKILL.md, 79 agents (Claude Code, Hermes, Codex, Gemini...)
A toolkit for controlled behavioral evaluation of LLMs
Static analyzer for React tests that finds UI behaviors exercised but not explicitly verified. Testing Library, Jest/Vitest, and Material UI.
Behavioral regression testing for AI applications: repeat LLM, agent and RAG test cases, and tell real regressions from noise.
Model behavioral diffing - compare LLM outputs across versions, detect regressions.
Understand the mechanism. Rebuild the behavior. Prove the result. Independent reverse-engineering MCP, skill and CLI for Claude Code and Codex: artifact analysis, experiment planning and behavioral verification.
Behavioral regression testing for LLMs — diff, drift, fingerprint. Zero deps.
Agent Skill for Claude Code that measures whether coding agents actually follow a skill, rule or agent definition: it generates scenarios from supportive to competing prompts, runs an agent on each, and reports compliance rates with classified tool call timelines.
Open-source behavioral contract testing for AI agents. Define critical behavior, run the real agent, and catch regressions.
Behavioral browser-spec layer for agent-in-session use. Specs declare intent+outcomes; agents execute + heal via agent-browser or Playwright. CLI + MCP server, agent-neutral.
该项目在 GitHub 上没有填写描述
Advanced Mockito usage featuring Spies, Mocks, and behavioral verification to test a shopping cart checkout flow.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/behavioral-testing。
- 该话题在 GitHub 上共有 47 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 332 Star,覆盖 4 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。