prompt-injection-defense-auditor
SolidReviews LLM application prompts and input handling for direct and indirect prompt injection vulnerabilities, then writes defensive scaffolding.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- Notysoty
- Repository
- Notysoty/openagentskills
- Created
- 5 months ago
- Last Updated
- 6 days ago
- Language
- JavaScript
- License
- MIT
Similar Skills
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prompt-injection-defense
Contain direct and indirect prompt injection in LLM-integrated applications. Covers source-of-trust tagging, tool-use confirmation after untrusted input, output validation, markdown-image exfiltration prevention, and context-window hygiene. Invoke when building any app where untrusted text reaches an LLM, when the LLM has tools that act on real systems, or after a suspected injection incident.
prompt-injection-tester
Systematically tests an LLM app, agent, RAG pipeline, or endpoint for prompt injection (direct + indirect) using English and Turkish payload families, separates real attack success from over-refusal, and maps every finding to OWASP LLM01 and MITRE ATLAS. Use when auditing a chatbot, tool-using agent, or LLM-backed API for injection and system-prompt-leakage resistance before or after deployment.
prompt-injection
Expert methodology for testing direct and indirect prompt injection vulnerabilities in LLM-powered applications, agents, and pipelines. Covers payload construction, context manipulation, cross-agent propagation, and exfiltration triggers.