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ai-agent-guardrails

Apply safety controls when an LLM agent has authority to act on real systems. Covers blast-radius classification, dry-run-first patterns, out-of-band approval gates, scope locking, idempotency, kill switches, and rollback strategies. Invoke when designing an autonomous agent, when granting an LLM write access to production, or after an agent makes an unexpected change.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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Ler descrição completa

AI Agent Guardrails

LLMs make confident wrong decisions at scale. The cost of one wrong decision used to be one wrong commit; the cost of one wrong decision by an agent loop can be 30 wrong commits, 100 deleted DB rows, or a whole production site refactored into nonsense in 90 seconds.

This skill is a design checklist — not a runtime tool. It tells you what to put in place before giving an agent write access to anything that matters.

When to invoke

  • Designing a new agent, scheduled

[Description truncada. Veja o README completo no GitHub.]

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