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owasp/secure-agent-playbook119 installs

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.

How do I install this agent skill?

npx skills add https://github.com/owasp/secure-agent-playbook --skill prompt-injection-test
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill is a documentation guide and testing methodology for security researchers to evaluate Large Language Model (LLM) applications against prompt injection and related vulnerabilities. It contains no executable code, network operations, or malicious instructions.

  • Socketwarn

    1 alert: gptSecurity

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/owasp/secure-agent-playbook/prompt-injection-test">View prompt-injection-test on skillZs</a>