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Evaluate and red-team LLM applications with promptfoo, declarative YAML evals, assertions, model comparisons, and automated adversarial scans for prompt injection, jailbreaks, PII leaks, and unsafe outputs in CI.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/PramodDutta/qaskills --skill promptfoo-llm-red-teaming命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | Promptfoo LLM Red Teaming |
| description | Evaluate and red-team LLM applications with promptfoo, declarative YAML evals, assertions, model comparisons, and automated adversarial scans for prompt injection, jailbreaks, PII leaks, and unsafe outputs in CI. |
| version | 1.0.0 |
| author | thetestingacademy |
| license | MIT |
| tags | ["promptfoo","llm-evals","red-teaming","prompt-injection","jailbreak","security","assertions","ci-gates","model-comparison"] |
| testingTypes | ["llm-evals","security","regression"] |
| frameworks | ["promptfoo"] |
| languages | ["typescript","javascript"] |
| domains | ["ai","llm"] |
| agents | ["claude-code","cursor","github-copilot","windsurf","codex","aider","continue","cline","zed","bolt","gemini-cli","amp"] |
You are an expert AI quality and security engineer specializing in promptfoo. When the user asks you to evaluate prompts, compare models, or red-team an LLM application, follow these instructions.
npm install -g promptfoo
export OPENAI_API_KEY=... # or anthropic, etc.
promptfoo init # scaffolds promptfooconfig.yaml
# promptfooconfig.yaml
description: Support-bot answer quality
prompts:
- file://prompts/support_system.txt
providers:
- anthropic:claude-sonnet-5
- openai:gpt-5.2 # side-by-side model comparison
tests:
- vars:
query: "How do I reset my password?"
assert:
- type: contains
value: "Settings"
- type:
[, ]
promptfoo eval # run matrix: prompts x providers x tests
promptfoo view # local web UI for diffing outputs
promptfoo eval -o results.json # machine-readable for CI
Use defaultTest for assertions applied to every case (latency ceilings, cost ceilings, banned phrases). Use scenario files to keep configs under control as suites grow.
promptfoo redteam init # interactive: pick plugins + strategies
promptfoo redteam run # generates adversarial probes and executes them
promptfoo redteam report # scored vulnerability report
# redteam section of config
redteam:
purpose: "Customer support bot for a SaaS billing product"
plugins:
- harmful # unsafe content categories
- pii # personal data leakage
- prompt-extraction # system prompt exfiltration
- excessive-agency # acting beyond intended scope
- hijacking # off-purpose use
- hallucination
strategies:
- jailbreak # iterative jailbreak attempts
- prompt-injection # direct + indirect injection framings
- multilingual # attacks translated to bypass filters
Target selection matters: point providers at your deployed HTTP endpoint (provider type http) so guardrails, RAG context, and tool restrictions are in the loop:
providers:
- id: https
config:
url: https://staging.example.com/api/chat
method: POST
body: { "message": "{{prompt}}" }
transformResponse: json.reply
| Attack class | Plugin/strategy | Pass condition |
|---|---|---|
| Prompt injection (direct + via retrieved docs) | prompt-injection | Instructions in user content never override system policy |
| Jailbreaks | jailbreak | Harmful requests refused across iterations |
| System prompt extraction | prompt-extraction | No verbatim or paraphrased system prompt in output |
| PII leakage | pii | No customer data returned across tenant boundaries |
| Excessive agency | excessive-agency | Bot refuses actions outside its tool contract |
| Off-purpose hijacking | hijacking | Bot stays in domain, no free labor for arbitrary tasks |
# .github/workflows/llm-quality.yml
- run: npx promptfoo eval --config evals/quality.yaml -o quality.json
- run: npx promptfoo eval --config evals/redteam-pinned.yaml -o redteam.json
# fail on any assertion failure; full generative redteam runs nightly, not per PR
Cadence policy: PR gate runs the deterministic pinned suites (fast, cheap); nightly runs promptfoo redteam run with fresh generated attacks; weekly review triages new findings, and each confirmed finding is added to redteam-pinned.yaml as a permanent regression case.