Agent Ops Runbook

v1.1.0

Generate a detailed operations runbook for deploying AI agents, including rollout stages, monitoring, rollback plans, cost estimates, and incident response t...

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high confidence
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.
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

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504downloads
0stars
2versions
Updated 1mo ago
v1.1.0
MIT-0

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: <2%
    • 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.

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