Individual skill
detecting-ai-model-prompt-injection-attacks
Detects prompt injection using regex signature matching, heuristic scoring for structural anomalies, and DeBERTa-based transformer classification, flagging direct injections (system-prompt overrides, role-play escapes) and indirect injections (encoded payloads, obfuscation) per OWASP LLM Top 10 (LLM01:2025). Use for input validation layers in chatbots/agents/RAG pipelines, or for retrospectively classifying injection attempts in logs or incident investigations.
skills/detecting-ai-model-prompt-injection-attacks/SKILL.md
Source commit 54a798831d2266a3ca61ce68a7acb80b81160d57
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 35,926
- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- prompt-injection Declared skill tag
- llm-security Declared skill tag
- owasp-llm-top10 Declared skill tag
- nlp-classification Declared skill tag
- input-validation Declared skill tag
- security Derived category
- security-application Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
LICENSEasset · 11,255 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesSKILL.mdcore · 7,709 bytesreferences/api-reference.mddoc · 5,791 bytesscripts/agent.pyruns · 17,530 bytes
Read excerpt
# Detecting AI Model Prompt Injection Attacks
## When to Use
- Scanning user inputs to LLM-powered applications before they are forwarded to the model
- Building an input validation layer for chatbots, AI agents, or retrieval-augmented generation (RAG) pipelines
- Monitoring logs of LLM interactions to retrospectively identify prompt injection attempts
- Evaluating the effectiveness of existing prompt injection defenses through red-team testing
- Classifying prompt injection payloads during security incident investigations involving AI systems
**Do not use** as the sole defense mechanism against prompt injection -- always combine with output validation, privilege separation, and least-privilege tool access. Not suitable for detecting jailbreaks that do not involve injection of adversarial instructions.
## Prerequisites
- Python 3.10+ with pip for installing detection dependencies