Promptfoo
Tool manual · Kali & common usage
AI Security · Intermediate · AI Security lane
What is Promptfoo?
Promptfoo evaluates LLM prompts/policies with YAML-driven test cases.
Regression-test guardrails in CI for AI apps you build.
Official website: Promptfoo · Documentation
When do you use it?
- You need Test and evaluate LLM prompts/policies.
- You are following a CYNARKS lab or authorized engagement that calls for Promptfoo.
- You already tried simpler checks and need this tool’s deeper capability.
Who uses it?
- Security practitioners
- Students in authorized labs
- Engineers validating their own systems
How do you use it? (typical flow)
- Install Promptfoo using the steps below (prefer Kali package or official installer).
- Confirm you have authorization for the target (lab VM, own system, or written scope).
- Run --help / man (or the Help section) to see current flags for your version.
- Start with a safe example from Basic commands against localhost or an authorized lab target.
- Record what you ran, what you observed, and any follow-up (filter, report, remediation).
Help & manual (like man / --help)
Every serious tool has a built-in way to look up flags. Learn these first so you are not stuck memorizing every option.
1. Docs
https://www.promptfoo.dev/docs/
2. Help
promptfoo --help
Kali Linux
npm install -g promptfoo
1. Installation
| OS | Installation |
|---|---|
Kali Linux | npm install -g promptfoo |
npm | npm install -g promptfoo |
2. Basic commands
1. Evaluate guardrails on lab prompts
promptfoo eval
Evaluate guardrails on lab prompts
2. Show help
promptfoo --help
List flags for your installed version (same habit as man/--help).
3. Short help
promptfoo -h
Alternate help flag when supported.
5. Useful features
- YAML configs
- CI
6. Practical examples
Example 1: Evaluate guardrails on lab prompts
promptfoo eval
Evaluate guardrails on lab prompts
Example 2: Show help
promptfoo --help
List flags for your installed version (same habit as man/--help).
Example 3: Short help
promptfoo -h
Alternate help flag when supported.
7. Important notes
- Continuous LLM safety eval.
- Authorized targets only — labs, systems you own, or written permission.
- Prefer reading --help / man / official docs for your installed version; flags change over time.
Related course: ai security · web application security · Commands: /commands