
wool-xing/test-agent
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AI Testing Agent Framework · 16 experts + 32 skills + 49 utils · Multi-LLM (Claude/OpenAI/Qwen/etc) · MCP-native · Open-source · Learn-while-using
Обзор
Test-Agent turns any software, EXE, APK, Docker image, or API into a**— autonomous from requirement parsing to PoC-validated bug reports, powered by 16 AI agents with a ManifestV2 single-source architecture. -— Web · API · Android · iOS · WeChat Mini Program · Windows · macOS · Linux · Automotive · IoT · AI/LLM · Blockchain -— HTTP(S) · gRPC · WebSocket · TCP/UDP · GraphQL · MQTT · CAN-bus · Kafka · Modbus · … -— 6 built-in (Claude / OpenAI / Gemini / Qwen / DeepSeek / Ollama) + OpenAI-compatible fallback for any provider, 3 env vars, zero code -— --mode learn outputs theory references at every step (22 KB cards across 13 domains) -— sandboxed exec · PII scrub · prompt-injection scan · hash-chain audit trail · SSO + RBAC Prerequisite: Python 3.x. Git & Node.js auto-installed if missing (winget / brew / apt / apk). ⚠️ This project includes offensive security tools (pentest skill / SSRF probes / AI adversarial templates). Read SECURITY.
README
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🤖 Test-Agent
AI Testing Agent Framework · Open-Source · Multi-LLM · One-command deploy
English| 简体中文
Test-Agent turns any software, EXE, APK, Docker image, or API into afully tested project— autonomous from requirement parsing to PoC-validated bug reports, powered by 16 AI agents with a ManifestV2 single-source architecture.
-All-platform— Web · API · Android · iOS · WeChat Mini Program · Windows · macOS · Linux · Automotive · IoT · AI/LLM · Blockchain
-All-protocol— HTTP(S) · gRPC · WebSocket · TCP/UDP · GraphQL · MQTT · CAN-bus · Kafka · Modbus · …
-Multi-LLM no lock-in— 6 built-in (Claude / OpenAI / Gemini / Qwen / DeepSeek / Ollama) + OpenAI-compatible fallback for any provider, 3 env vars, zero code
-Learn while using— --mode learn outputs theory references at every step (22 KB cards across 13 domains)
-Safe-by-default— sandboxed exec · PII scrub · prompt-injection scan · hash-chain audit trail · SSO + RBAC
🚀 Quick Start
Prerequisite: Python 3.x. Git & Node.js auto-installed if missing (winget / brew / apt / apk).
⚠️ This project includes offensive security tools (pentest skill / SSRF probes / AI adversarial templates). Read SECURITY.md before running pentest or AI-adversarial workflows.
# Download install script
curl -fsSL -o install.py https://raw.githubusercontent.com/Wool-xing/Test-Agent/main/install.py
# Deploy to your project directory (any path works)
python install.py D:\Test-Agent # Windows example, any drive or folder
python install.py ~/test-agent-project # macOS / Linux example, any folder
```text
>**Windows users**: if curl fails with `CRYPT_E_NO_REVOCATION_CHECK`, use PowerShell:
> ```powershell
> Invoke-WebRequest -Uri https://raw.githubusercontent.com/Wool-xing/Test-Agent/main/install.py -OutFile install.py
> python install.py D:\Test-Agent # example, any drive or folder works
> ```
**Expected duration**: ~10–15 min (includes pip deps + Playwright browser). CN networks auto-use Tsinghua PyPI mirror.
After deployment, outputs under `workspace/`: test cases (Excel + xmind + markmap + opml) + Word report + decision logs.
**Next**: `cp config/.env.example .env` → edit `.env` → run with any AI tool supporting AGENTS.md/SKILL.md standard, or `tagent run "your PRD"`
Рекомендуемые инструменты
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Установка
npx skillfish add wool-xing/test-agent