ai-agent-governance-and-limits

name	ai-agent-governance-and-limits
description	Use when defining agent budgets, step limits, reversibility, blast-radius controls, kill switches, and governance policy for agentic AI systems.
metadata	{"portable":true,"compatible_with":["claude-code","codex"]}

AI Agent Governance And Limits

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, [phone].

Use When

• Set step, wallclock, token, model, and cost budgets for agents.
• Define reversibility, blast-radius limits, and safe failure behavior.
• Connect runtime controls to policy, tenant limits, and operational review.

Do Not Use When

• The work is not AI-specific or agentic-AI-specific.
• A narrower retained AI parent skill fits the request better.

Required Inputs

• Product, tenant, user, data, risk, and operational context relevant to the AI workflow.
• Target artifact: design, implementation plan, audit, test strategy, UX flow, commercial policy, or runbook.
• Constraints from security, privacy, reliability, billing, support, and compliance stakeholders when relevant.

Workflow

1. Read this SKILL.md first.
2. Load references/routing.md to select the absorbed child reference that matches the task.
3. Load only the selected child reference files needed for the current request.
4. Produce execution-oriented output with assumptions, risks, evidence, and next actions where relevant.

Quality Standards

• Keep routing explicit: name which reference files were used when the work depends on absorbed material.