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Agent Ops Runbook

作者 1kalin · GitHub ↗ · v1.1.0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install afrexai-agent-runbook
功能描述
Generate a detailed operations runbook for deploying AI agents, including rollout stages, monitoring, rollback plans, cost estimates, and incident response t...
使用说明 (SKILL.md)

Agent Ops Runbook

Generate a production-ready operations runbook for deploying AI agents. Covers pre-deployment checklists, shadow mode → supervised → autonomous rollout stages, monitoring dashboards, rollback procedures, cost management, and incident response templates.

When to Use

  • Deploying an AI agent to production
  • Building monitoring and alerting for agent systems
  • Creating rollback procedures for autonomous workflows
  • Estimating and controlling agent operational costs

Instructions

When the user asks for an agent ops runbook or deployment plan:

  1. Ask which agent function they're deploying (support, sales, document processing, etc.)

  2. Ask about their risk tolerance (conservative, moderate, aggressive rollout)

  3. Generate a complete runbook with:

    • Pre-deployment checklist specific to their function
    • 3-stage rollout plan with metrics and gates
    • Monitoring alerts (critical + warning thresholds)
    • Rollback procedures (3 levels: prompt, feature, full)
    • Cost estimates based on their expected volume
    • 90-day implementation timeline
    • Incident response template

  4. Include specific metric targets:

    • Accuracy vs human baseline: >90%
    • Error rate: \x3C2%
    • Cost per task benchmarks by function
    • Human escalation rate: 5-15%

  5. Flag risks specific to their industry (compliance, PII, financial accuracy)

Output format: Markdown document ready to share with engineering and ops teams.

安全使用建议
This skill is instruction-only and appears coherent for generating runbooks. Before using it: (1) do not paste production secrets or PII into prompts — the runbook generator will include any data you provide; (2) review and tune the hardcoded metric targets and rollout gates to match your domain and compliance needs (financial, healthcare, etc.); (3) verify any recommended monitoring or automated rollback actions with your ops/security teams before implementing; and (4) be cautious if you later grant an agent automated deployment privileges — this skill itself does not perform deployments but its output could be used to configure automated systems.
功能分析
Type: OpenClaw Skill Name: afrexai-agent-runbook Version: 1.1.0 The skill bundle contains metadata, a `SKILL.md` with instructions for an AI agent, and a `README.md` for users. The instructions in `SKILL.md` are clear and directly related to generating an operations runbook, without any evidence of prompt injection attempts to manipulate the agent into performing unauthorized actions or accessing sensitive data. The `README.md` includes external links to `github.io` domains for additional resources, which is a common and benign practice for offering supplementary content, and these links do not pose an immediate threat within the OpenClaw environment. No malicious code, data exfiltration, or other harmful behaviors were detected across any of the files.
能力评估
✓ Purpose & Capability
Name and description match the SKILL.md instructions: it exists to generate deployment runbooks and asks only for user inputs to tailor those runbooks. No unrelated binaries, env vars, or credentials are requested.
ℹ Instruction Scope
Instructions are narrowly scoped to asking about the agent function and risk tolerance and producing a runbook. They include hardcoded suggested metric targets (e.g., >90% accuracy, <2% error, 5–15% escalation) which may not be appropriate for all domains; users should validate and adjust those thresholds for their context. The instructions do not tell the agent to read local files, transmit data externally, or access other system state.
✓ Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing will be written to disk or downloaded during install.
✓ Credentials
The skill requests no environment variables, credentials, or config paths. There is no disproportionate access requested relative to the described functionality.
✓ Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent or elevated platform privileges or modify other skill/system configs.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install afrexai-agent-runbook
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /afrexai-agent-runbook 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.1.0
Version 1.1.0 of afrexai-agent-runbook - No file changes detected in this release. - Functionality and documentation remain unchanged from previous version.
v1.0.0
Initial release providing a complete framework for production AI agent deployment runbooks. - Guides users through deploying AI agents with tailored pre-deployment checklists, 3-stage rollout plans, and monitored metrics. - Includes procedures for rollback, cost estimation, and incident response. - Outputs a Markdown-formatted runbook ready for engineering and operations teams. - Adapts content to agent function, organizational risk tolerance, and industry-specific risks.
元数据
Slug afrexai-agent-runbook
版本 1.1.0
许可证 —
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Agent Ops Runbook 是什么？

Generate a detailed operations runbook for deploying AI agents, including rollout stages, monitoring, rollback plans, cost estimates, and incident response t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 529 次。

如何安装 Agent Ops Runbook？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-agent-runbook」即可一键安装，无需额外配置。

Agent Ops Runbook 是免费的吗？

是的，Agent Ops Runbook 完全免费（开源免费），可自由下载、安装和使用。

Agent Ops Runbook 支持哪些平台？

Agent Ops Runbook 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Agent Ops Runbook？

由 1kalin（@1kalin）开发并维护，当前版本 v1.1.0。

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