prompt-injection-defense
De la autor
Guards AI agents and LLM-powered applications against prompt injection attacks — both direct and indirect. Validates AI inputs and outputs at every trust boundary.
Instalare
npx skills add DevelopersGlobal/ai-agent-skills --skill prompt-injection-defense -a claude-code
Se instalează în .claude/skills/prompt-injection-defense/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 84
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- ai-agent-securityBagelHole/DevOps-Security-Agent-SkillsSecure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.Securitate★ 1.2K
- LLM Security TestingPramodDutta/qaskillsSecurity testing for LLM-powered applications including prompt injection, jailbreak detection, data leakage prevention, and AI safety testing.Securitate★ 240
- skill-injection-defenselawve-ai/awesome-legal-skillsAudits legal AI skills, prompts, workflows, MCP/tool instructions, and agent packages for prompt injection, malicious instructions, unsafe scripts, suspicious metadata, credential exposure, exfiltration paths, persistence mechanisms, and supply-chain risk. Use before installing, importing, publishing, promoting, modifying, or trusting third-party or generated AI skills and legal workflows. Do not use as a generic code review unless skill trust, workflow safety, prompt injection, or supply-chain hygiene is in scope.Juridic★ 894
- ai-security-hardeningBagelHole/DevOps-Security-Agent-SkillsHarden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks. Covers input validation, output filtering, access control, model API security, and compliance controls for production AI systems.Securitate★ 1.2K
- hunt-llmEncod3d-Sec/TORCHLLM / AI application attack hunting - prompt injection (direct + indirect), excessive agency, insecure output handling, system-prompt + data leakage. OWASP LLM Top 10. Wiki-first, FIND schema output.Securitate★ 334
- 16-ai-llm-securityMasriyan/Claude-Code-CyberSecurity-SkillLLM and AI application security testing — prompt injection, jailbreak resistance, OWASP LLM Top 10 (2025), RAG and agent/tool-use security, model supply chain, and AI red teaming for authorized assessmentsSecuritate★ 504
Note și recenzii
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nicio recenzie
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