prompt-injection-assessment
De la autor
Assesses whether direct, indirect, multi-turn, retrieved, or tool-mediated instructions can override an AI system's intended policy or scope. Use when conducting an authorized prompt-injection test with benign canaries and evidence-bound outcomes.
Instalare
npx skills add zero-lab-ai/skills --skill prompt-injection-assessment -a claude-code
Se instalează în .claude/skills/prompt-injection-assessment/ · 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 85
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.
- prompt-injection-defenseDevelopersGlobal/ai-agent-skillsGuards AI agents and LLM-powered applications against prompt injection attacks — both direct and indirect. Validates AI inputs and outputs at every trust boundary.Altele★ 213
- retrieval-integrity-assessmentzero-lab-ai/skillsAssesses whether an authorized retrieval-augmented AI system preserves source, index, retrieval, context, and output integrity. Use when testing RAG poisoning, retrieval hijacking, context saturation, semantic substitution, or citation controls with benign canaries.Testare★ 281
- agent-runtime-validationzero-lab-ai/skillsPlans and evaluates bounded runtime tests of AI agents, tools, memory, hooks, approvals, and scope enforcement. Use when static review is complete and an authorized assessment must determine how the deployed agent actually behaves.Testare★ 281
- Prompt TestingPramodDutta/qaskillsComprehensive prompt testing and LLM output evaluation skill covering hallucination detection, response quality scoring, regression testing for prompts, A/B testing, and building evaluation pipelines for AI-powered applications.Testare★ 240
- prompt-regressionagentscope-ai/OpenJudgeUse when the user has changed a prompt (system prompt, RAG template, agent instruction, etc.) and wants to know whether the candidate is better or worse than the baseline. Also use when the user mentions prompt A/B testing, prompt comparison, prompt optimization validation, "did my prompt change help," or prompt regression testing. Outputs per-dimension win rates with statistical significance using OpenJudge PairwiseAnalyzer.Testare★ 888
- prompt-engineeringericrisco/rsc-harnessUse when one prompt must give the same right answer across reruns, models, and pasted-in hostile input: forcing a fixed schema, picking the few-shot set, ordering the prompt blocks, or the inline cases you run while tuning. NOT the agent loop, tools, or retrieval (that is `building-agents`), NOT a standing CI eval harness (that is `agent-eval`).Altele★ 255
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