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remediation-playbook
Actionable fix patterns for LLM vulnerabilities — system prompt hardening, input validation, output filtering, and tool sandboxing
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Actionable fix patterns for LLM vulnerabilities — system prompt hardening, input validation, output filtering, and tool sandboxing
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Complete taxonomy of 80+ attack plugins organized by category, technique, and OWASP mapping
Compliance requirements for LLM applications under HIPAA, COPPA, FERPA, and GDPR, with testing methodology and evidence requirements
How to identify and analyze LLM integration points across popular frameworks — OpenAI SDK, Anthropic SDK, LangChain, LlamaIndex, Vercel AI SDK
Comprehensive knowledge of the OWASP Top 10 for LLM Applications (2025), including attack mappings, detection methodology, and remediation checklists
| name | Remediation Playbook |
| description | Actionable fix patterns for LLM vulnerabilities — system prompt hardening, input validation, output filtering, and tool sandboxing |
| version | 1.0.0 |
Provides the remediation-agent with concrete fix patterns for each vulnerability class. Every fix should be specific, implementable, and verifiable.
| Category | Fixes | When to Apply |
|---|---|---|
| System Prompt Hardening | Instruction boundaries, explicit denials, XML-tagged input isolation | Jailbreak, injection findings |
| Input Validation | Length limits, character filtering, injection detection, sanitization | Injection, tool abuse findings |
| Output Filtering | PII redaction, content moderation, response validation | PII, harmful content findings |
| Tool Sandboxing | Parameterized queries, permission scoping, allowlists, capability limits | Tool abuse findings |