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gap-trap, coding agent kullanan repolara projeye özel kalite kuralları ve bu kuralları CI veya test sürecinde denetleyen gate'ler ekleyen bir agent skill'dir.

Neden yükseliyor · 14 günde 180 yıldız ve son 28 günde 34 commit, yeni projeye yönelik belirgin ilgiyi ve geliştirme hareketliliğini gösteriyor. Ancak proje çok genç ve farklı yazar sayısı 2; bu veriler yaygın benimsemeyi veya uzun vadeli sürdürülebilirliği kanıtlamıyor.

An agent-native QA CLI for web pages. Deterministic, no tests to write, no LLM.

Your coding agent says done. Show the receipt. Evidence-first workflows, practical skills, and plugins for Claude Code and Codex.

Antidote for fluffy specs, a toolkit for fact-driven development with AI agents

Behavioral testing for AI agents.

Local evidence debugger and trajectory-test toolkit for TypeScript AI agents: inspect causal runs, catch wrong tool paths in CI, and share s

Does the model pick the right tool? Tool-routing tests for your MCP server: run them on Claude and OpenAI models, see where each request lan

Architectural linting for Swift developers and coding agents

⚡ Unit tests for AI. Test prompts, compare models, save money.

Testing skills for AI coding agents: evidence-backed strategy, executable cases, Playwright/API testing, regression and QA memory. 面向 AI Age

A skill to stop your coding agent from telling you it works when the diff says otherwise.

Benchmark for the quality of LLM-generated test suites — anti-fragility, rigor, mocking discipline, reuse — scored against human baselines,

Generates a test suite from acceptance criteria, then converges code against it with an agent that never sees those criteria.

Specs your AI agent can't ignore. A deterministic compiler that turns your rules into checks: no AI inside, same input, same verdict. Rust ·

Self-hosted OpenAI-compatible mock server — test your LLM integrations without exposing your API key. By Axium.

Turn noisy command output into a short, actionable first pass for coding agents.

Spec-Driven Development framework that enables humans and AI agents to build better software by giving them small, local instructions right

Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you swap models or edit p

Regression testing and configuration sweeps for RAG pipelines, with the statistics to know whether a change actually helped.

Fault injection framework for on-device AI. Pure Dart core (sate_core) + Flutter package (sate_ai). Android, iOS, Web, and CLI targets.

Make your specs actually comprehensive. Pair your specs with tests to make your coding agent stop improvising bad code

Snapshot testing for LLM apps and agents, built to run locally and block regressions in CI.

Streaming privacy for LLM apps: pii-leak-benchmark (does your gateway leak PII in streams?), chunk-invariance (one-line test for split-bound

Drop-in pytest plugin for regression-testing AI agents — snapshot baselines, semantic comparison, mock LLMs

EvalPort — The Open LLM Evaluation Standard. Portable test cases, graders, suites, and results across DeepEval, Promptfoo, Inspect AI, and m

Reproducible evaluation for AI coding agents. Multi-turn scenarios against Claude Code, Codex, Copilot, Cursor, Gemini CLI, Goose, OpenCode,