agent-security
De la autor
Secure an agent system as a permission surface — what authority each tool call runs under, where the confused deputy sits, which controls are enforced outside the model and which are only prompt text, and how far one bad call reaches. Use when granting an agent tools or credentials, wiring in MCP servers or subagents, reviewing an agent that acted beyond what the requester could have done, or before letting an agent touch a shared or production system. Not for wording the ingestion trust boundary in detail (prompt-injection-defense), not for scoping what an agent is for (agent-design), and it never grants an agent permission it did not already have.
Instalare
npx skills add nahid-sparktales/agent-dispatcher --skill agent-security -a claude-code
Se instalează în .claude/skills/agent-security/ · 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.
Vrei ca agentul să-ți propună skill-uri în timp ce scrii? Vezi cum folosești skill-urile din IDE.
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 82
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
- 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★ 215
- agent-designnahid-sparktales/agent-dispatcherScope an agent or subagent before it is built — the one job it owns, the smallest tool set that closes that job, what it must never do, and the evidence it has to return. Use when adding an agent, subagent or automated role to a system, when deciding which tools it gets, when an existing agent loops, over-reaches or reports work it did not do, or when reviewing someone else's agent design. Not for wording the prompt itself, not for deciding what occupies its context window, and it never grants an agent permission it did not already have.Design★ 59
- agent-interface-designNeeeophytee/finding-unknowns-skillsDesign tools, scripts, and CLIs that an agent will call, so the interface teaches its own use instead of a wall of prose and examples. Use when building an MCP server or tool definition, writing an agent-facing script, or when an agent keeps misusing a tool it already has.Design★ 353
- agent-safetyericrisco/rsc-harnessUse when bounding an LLM agent that already runs — scoping its task domain, gating tools to least privilege, defending against prompt injection in untrusted web/email/RAG text, requiring human approval on irreversible actions, capping runtime and cost, or triaging what it already did. NOT building the loop, tools, or RAG (that is `building-agents`).Productivitate★ 272
- agent-governancegithub/awesome-copilotPatterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)Altele★ 40.4K
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