Test AI with promptfoo
Scan AI systems for security vulnerabilities
"A founder, Alex, wants to validate the security of their AI-powered customer service chatbot. Alex imports their chatbot model into promptfoo, creates a simple configuration, and runs a vulnerability scan. The result is a detailed report highlighting potential security issues for Alex to address."
- β’When building an AI product and want to validate prompt reliability
- β’Before deploying a RAG (retrieval-augmented generation) system to ensure quality
- β’When comparing performance across different AI models and configurations
promptfoo eval -c config.yaml
Skip the builder β one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package β nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/promptfoo && curl -fsSL https://workflowstacks.com/api/skills/promptfoo/claude-skill -o ~/.claude/skills/promptfoo/SKILL.mdOpens the app with this repo with the prompt ready to go β no copy-paste needed.
Test AI with promptfoo is a very large TypeScript project (~469k lines across 2019 code files, plus 968 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here β what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3src/main.tsWhere the program starts running
- 4src/index.tsInside src/ β the main logic begins here
- 5examples/AGENTS.mdA worked example β copy this to get going
Skip the builder β one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package β nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/promptfoo && curl -fsSL https://workflowstacks.com/api/skills/promptfoo/claude-skill -o ~/.claude/skills/promptfoo/SKILL.mdOpens the app with this repo with the prompt ready to go β no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work β importable n8n templates, outcome guides and Claude Desktop configs.
Weekly Client Report
Every Monday, turn the weekβs metrics into a clear client-facing narrative report β what happened, why, whatβs next β and email it automatically.
Outcome guideAutomate your weekly client reports
Keep each clientβs metrics in a Google Sheet. Every Monday the workflow reads the weekβs numbers, writes a plain-English narrative β what moved, why, and whatβs next β and emails it to the client.
MCP configGitHub MCP config
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