continuous-llm-red-teaming-with-promptfoo
FeaturedWire Promptfoo and DeepTeam into CI/CD for automated regression red-teaming of LLM apps against OWASP LLM Top 10 and OWASP Agentic presets, failing the build when jailbreak or injection vulnerabilities regress.
Install
Quality Score: 89/100
Skill Content
Details
- Author
- adriannoes
- Repository
- adriannoes/awesome-agentic-ai
- Created
- 11 months ago
- Last Updated
- 1 weeks ago
- Language
- Jupyter Notebook
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
promptfoo-redteam-llm
Red team an LLM application end-to-end with promptfoo — the foundational workflow. Use when setting up the first red team for an LLM app, configuring prompts/targets/plugins/strategies, generating adversarial test cases, and reviewing the vulnerability report. Covers OWASP LLM01/08/09, PII, harmful content, hallucination, hijacking.
promptfoo-framework-owasp-llm
Test LLM applications against the OWASP LLM Top 10 (2025) with promptfoo. Use when testing for prompt injection (LLM01), sensitive information disclosure (LLM02), supply chain vulnerabilities (LLM03), data/model poisoning (LLM04), improper output handling (LLM05), excessive agency (LLM06), system prompt leakage (LLM07), vector/embedding weaknesses (LLM08), misinformation (LLM09), or unbounded consumption (LLM10).
red-team-llm-app
Use this to adversarially test an LLM/agent app before attackers do - prompt injection, jailbreaks, data exfiltration, tool misuse, and unsafe output. Trigger on "red team my LLM", "test for prompt injection", "is my agent secure", "jailbreak testing", "security review of my AI app", especially before shipping anything customer-facing or with tools/data access. Test systematically against the known attack classes, not ad-hoc.