MCPInstall

prompt-injection-test

Test LLM-integrated applications against known prompt injection techniques, evasion methods, and attack intents using the Arcanum PI Taxonomy. Use when red-teaming AI apps, validating guardrails, or deepening LLM01 (Prompt Injection) assessments.

Installs
169
Last 24h
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/owasp/secure-agent-playbook --skill prompt-injection-test
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads prompt-injection-test automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Prompt Injection Testing

Systematically test an LLM application's prompt injection defenses by following the full procedure in plays/prompt-injection-testing.md.

Based on the Arcanum PI Taxonomy by Jason Haddix (Arcanum Information Security). CC BY 4.0.

Steps

  1. Scope and Input Surface Mapping — Identify all paths where attacker-controlled content reaches the LLM: direct (chat, API params) and indirect (file uploads, web fetches, RAG docs, tool outputs, MCP resources).

  2. Test by Attack Intent (13 intents) — For each authorized intent, attempt to achieve the attacker's goal:

    • INT-01 System Prompt Leak, INT-02 Jailbreak, INT-03 Tool Enumeration
    • INT-04 API Enumeration, INT-05 Get Prompt Secret, INT-06 Attack Users
    • INT-07 Data Poisoning, INT-08 Denial of Service, INT-09 Discuss Harm
    • INT-10 Multi-Chain Attacks, INT-11 Generate Image, INT-12 Test Bias
    • INT-13 Business Integrity
  3. Test by Attack Technique (18 techniques) — Apply known payload construction methods:

    • Framing, Narrative Smuggling, Cognitive Overload, Meta-Prompting
    • Russian Doll, Memory Exploitation, Act as Interpreter, Contradiction
    • End Sequences, Inversion, Rule Addition, Variable Expansion
    • Link Injection, Puzzling, Anti-Harm Coercion, ASCII/Spatial
    • Binary Streams, Spatial Byte Arrays
  4. Apply Evasion Layers (20 evasions) — When techniques are blocked, retry with obfuscation:

    • Encoding: base64, hex, morse, cipher, reverse
    • Language: alt language, fictional language, phonetic substitution, emoji
    • Structural: JSON/XML wrapping, markdown, metacharacter confusion, whitespace, splats
    • Advanced: steganography, link smuggling, graph nodes, waveforms, case changing
  5. Execute Test Matrix — Combine intents x techniques x evasions. Prioritize: high-impact intents first, indirect surfaces second, evasion sweeps against defenses that blocked direct attempts.

  6. Assess Results — For each successful injection, document: severity, attack path (intent + technique + evasion + surface), exact payload, detection gap, and remediation.

  7. Defense Validation — Check the 5-layer defense checklist: ecosystem hardening, model guardrails, prompt-layer defenses, data-layer controls, application-layer validation.

Output

Test results summary table (intent / technique / evasion / surface / result / severity), detailed findings using templates/finding.md, defense coverage checklist with gaps highlighted, and prioritized recommendations.

OWASP References

  • LLM01: Prompt Injection
  • LLM05: Improper Output Handling
  • LLM06: Excessive Agency
  • LLM07: System Prompt Leakage

FAQ

What does the prompt-injection-test skill do?

Test LLM-integrated applications against known prompt injection techniques, evasion methods, and attack intents using the Arcanum PI Taxonomy. Use when red-teaming AI apps, validating guardrails, or deepening LLM01 (Prompt Injection) assessments.

How do I install prompt-injection-test?

Run npx skills add https://github.com/owasp/secure-agent-playbook --skill prompt-injection-test in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/prompt-injection-test/ (personal) or .claude/skills/prompt-injection-test/ (project).

Which AI agents can use prompt-injection-test?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is prompt-injection-test safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains prompt-injection-test?

It is published by owasp in owasp/secure-agent-playbook. It has 169 recorded installs.

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