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guardrail-design

@owl-listener · 收录于 5 天前 · 上游提交 1 个月前

Defining behavioral boundaries — what the AI should and shouldn't do.

场景ai行为规范安全边界设计

适合你，如果需要为AI系统设定行为准则和限制

/ 下载安装
https://github.com/owl-listener/ai-design-skills/tree/main/claude-plugin/ai-alignment-reasoning/skills/guardrail-design ↗
/ 通过 npx 安装 校验哈希
npx oh-my-skill add owl-listener/ai-design-skills/guardrail-design
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- owl-listener/ai-design-skills/guardrail-design
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify owl-listener/ai-design-skills/guardrail-design
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 f41b650 · 表述以原文为准
它做什么

安装后，Claude 会帮你设计 AI 的行为边界：明确它能做什么、不能做什么，并提供护栏的类型、规格和沟通方式。

什么时候触发

当你需要为 AI 产品设定行为规则，或讨论如何限制 AI 的话题、操作、语气等时触发。

装好后可以这样说
Claude 会给出具体规则、拒绝消息和测试场景。
Claude 会提供语气规范模板和示例。
Claude 会解释动作护栏的规则和覆盖条件。
技能原文 SKILL.md作者撰写 · MIT · f41b650

Guardrail Design

Guardrails are the behavioral boundaries that define what an AI product will and won't do. They're not just safety constraints — they're design decisions that shape the entire user experience.

Types of Guardrails
  • Content guardrails: What topics the AI will and won't discuss. What it generates and refuses to generate.
  • Action guardrails: What the AI can do in the world — send emails, make purchases, delete data — and what requires human approval.
  • Tone guardrails: How the AI communicates — what language it uses, how formal or casual, when it's direct vs. diplomatic.
  • Scope guardrails: What the AI considers in and out of scope for its role. A coding assistant shouldn't give medical advice.
  • Confidence guardrails: When the AI should express uncertainty, hedge, or refuse rather than guessing.
Designing Guardrails as Product Decisions

Every guardrail is a product decision with tradeoffs:

  • Too strict: The product feels limited, frustrating, and paternalistic. Users route around the guardrails.
  • Too loose: The product causes harm, loses trust, and creates liability.
  • Inconsistent: Users can't predict what the AI will and won't do, eroding trust.

The goal is guardrails that feel like good judgment, not arbitrary restrictions.

Guardrail Specification

For each guardrail, define:

  • What it prevents: The specific behavior or output being constrained
  • Why it exists: The harm it prevents or the value it protects
  • How it manifests: What the user sees when the guardrail activates (refusal message, alternative suggestion, escalation)
  • Edge cases: Grey areas where the guardrail might be too strict or too loose
  • Override conditions: Whether and how the guardrail can be relaxed (admin settings, user confirmation, context-dependent)
Guardrail Communication

How the AI communicates a guardrail matters as much as the guardrail itself:

  • Transparent refusal: "I can't help with that because..." — honest about the boundary
  • Redirective refusal: "I can't do X, but I can help you with Y" — offering alternatives
  • Silent guardrail: The AI steers away from the boundary without mentioning it
  • Escalation: "This needs a human to review" — handing off rather than refusing
Design Artefacts
  • Guardrail specification table: Category | Rule | Rationale | User Experience | Edge Cases
  • Refusal message templates per guardrail type
  • Guardrail severity tiers (hard block vs. soft warning vs. nudge)
  • Testing scenarios for each guardrail
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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