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프롬프트 인젝션 공격 방어 및 복구 파이프라인 벤치마크

LLM 통합 앱을 프로덕션 환경에 배포하기 전에 구조화된 프롬프트 인젝션 공격 및 방어 실험을 실행하여 공격 성공률을 측정하고 탐지 또는 복구 파이프라인을 테스트합니다.

프롬프트 인젝션 공격 방어 및 복구 파이프라인 벤치마크란 무엇인가요?

이 스킬은 LLM 통합 애플리케이션을 프로덕션 환경에 배포하기 전에 프롬프트 인젝션 공격에 대한 방어 및 복구 파이프라인을 벤치마킹하는 방법을 제공합니다. Open Prompt Injection 프레임워크를 기반으로 하며, 구조화된 공격 실험을 실행하고 방어 메커니즘의 효과를 측정할 수 있습니다. 사용자는 사전 정의된 공격 및 태스크 설정 파일을 활용하여 자동화된 벤치마크를 수행하고 각 공격의 성공률을 정량화할 수 있습니다. 이 스킬은 Conda 환경에서 설치 및 실행되며, PaLM2, Llama 등 다양한 LLM 모델을 지원합니다. AI 시스템 보안에 관심 있는 개발자와 보안 엔지니어에게 특히 유용하며, 탐지 및 복구 파이프라인을 테스트하여 실제 배포 전에 취약점을 사전에 식별할 수 있습니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/benchmark-prompt-injection-attacks-defenses-and-recovery-pipelines-before-trusting-an-llm-app-with-open-prompt-injection

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

프롬프트 인젝션 공격 방어 및 복구 파이프라인 벤치마크: Open Prompt Injection으로 LLM 앱을 신뢰하기 전에

LLM 통합 앱을 프로덕션 환경에 배포하기 전에 구조화된 프롬프트 인젝션 공격 및 방어 실험을 실행하여 공격 성공률을 측정하고 탐지 또는 복구 파이프라인을 테스트합니다.

전제 조건

Conda로 관리되는 Python 환경, 업스트림 저장소 체크아웃, 업스트림에 설정된 모델 API 자격 증명, 대상 태스크 및 공격 설정 파일

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • conda env create -f environment.yml --name my_custom_env
  • conda env list
  • conda activate my_custom_env

업스트림의 요구 사항 및 주의 사항:

  • 필요한 Python 패키지

  • python

기본 사용법 또는 시작 노트:

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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