AGENTS.md Template: Kubernetes Secrets Strategy

Overview

Direct answer: This AGENTS.md template defines a Kubernetes secrets strategy for single-agent and multi-agent orchestration, providing a formal operating manual for how agents fetch, rotate, audit, and propagate secrets, with clear handoff rules, memory, and source of truth.

This template governs the secret lifecycle across agents such as secret-collector, secret-rotator, secret-auditor, and vault-guardian, coordinated by a central orchestrator to ensure security, traceability, and repeatability in automated secret workflows.

When to Use This AGENTS.md Template

• When you implement AI coding agents that manage Kubernetes secrets across clusters and external secret stores.
• When you require auditable secret rotation, access control, and tool governance in a multi-agent workflow.
• When you need explicit handoff points between agents and a single source of truth for secrets.
• When you want reusable templates to bootstrap secret lifecycle automation in new projects.

Copyable AGENTS.md Template

# AGENTS.md

Project Role: Kubernetes Secrets Strategist and Ops Agent Manager

Agent roster and responsibilities:
- secret-collector: fetches secrets from Kubernetes Secrets and external secret stores
- secret-rotator: rotates secrets on a schedule or on-demand
- secret-auditor: validates access controls and audit logs
- vault-guardian: handles vault/tools (Vault, AWS Secrets Manager, etc.)
- integrator: propagates secrets to deployments and pipelines

Supervisor or orchestrator:
- Orchestrator coordinates agent handoffs, memory, and source-of-truth assertions; it enforces policy gates and escalates failures.

Handoff rules:
- Rotation results are handed to secret-auditor for validation, then to integrator for propagation; any failure prompts escalation.

Context, memory, and source-of-truth:
- Central Secrets Catalog is the source of truth; memory is scoped to the current secret lifecycle; avoid stale caches.

Tool access and permission rules:
- Secrets management APIs must be accessed with least privilege; avoid plaintext storage; rotate tokens and use ephemeral access where possible.

Architecture rules:
- Separate concerns: collection, rotation, auditing, and propagation; maintain a single orchestrator for decision-making.

File structure rules:
- /secrets/
- /policies/
- /workflows/
- /scripts/

Data, API, or integration rules:
- Use Kubernetes Secret v1 with strict RBAC; if using external stores, map to Kubernetes Secrets securely.

Validation rules:
- Validate rotation success by mounting and verifying that the new secret is in the expected location within a grace period.

Security rules:
- Encrypt at rest, enforce RBAC, enable audit logging, and prohibit plaintext in logs.

Testing rules:
- Unit tests for rotation logic; integration tests for end-to-end secret lifecycle; contract tests for policy gates.

Deployment rules:
- Canary deploys for secret changes; monitor for errors and rollback on failure.

Human review and escalation rules:
- Trigger on timeout, policy violation, or failed rotation; require on-call escalation and manual validation.

Failure handling and rollback rules:
- Roll back to the previous secret version; re-run rotation once issues are resolved; retain audit trail.

Things Agents must not do:
- Do not bypass RBAC; do not store plaintext secrets; do not leak secrets in logs; do not modify production secrets without review.

Recommended Agent Operating Model

Roles, responsibilities, decision boundaries, and escalation paths for Kubernetes secrets management across single-agent and multi-agent orchestration.

Recommended Project Structure

/
├── secrets/
│   ├── rotation/
│   ├── validation/
│   └── fetch/
├── policies/
├── workflows/
│   └── kubernetes-secrets/
│       ├── orchestrator.yaml
│       ├── planner/
│       ├── implementer/
│       ├── reviewer/
│       └── tests/
├── scripts/
└── tests/

Core Operating Principles

• Explicitly define agent roles and boundaries.
• Maintain a single source of truth for secrets.
• Enforce strict access controls and audit trails.
• Favor reproducible, testable secret lifecycles over ad hoc changes.
• Ensure verifiable handoffs and clear escalation paths.

Agent Handoff and Collaboration Rules

• Planner to Implementer: ensure secret acquisition methods are compatible with rotation and storage policies.
• Implementer to Reviewer: surface changes with enough context (rotation timestamp, secret path, affected workloads).
• Reviewer to Tester: require test results and policy conformance before deployment.
• Researcher to Domain Specialist: provide risk assessments for secret sources and external stores.
• Domain Specialist to Orchestrator: approve or veto changes based on governance alignment.

Tool Governance and Permission Rules

• Only approved tools may access secret stores; use ephemeral credentials where possible.
• Enforce least privilege RBAC for all secret operations.
• All secret access is logged; sensitive data never appears in logs.
• Secret rotation changes require orchestrator gating and audit trails.
• All external integrations must be validated via policy checks before execution.

Code Construction Rules

• Code that touches secrets must be auditable; avoid hard-coded values.
• Use idempotent operations for rotations; verify post-rotation state.
• Isolate secret-related modules; tests must cover failure modes and rollback paths.
• Document assumptions and constraints within the AGENTS.md file itself.

Security and Production Rules

• Secrets must be encrypted at rest and in transit; use approved secret stores.
• Enable continuous monitoring, anomaly detection, and alerting for secret failures.
• Limit exposure; never print secrets to logs or dashboards.
• Require human review for production secret changes that exceed policy thresholds.

Testing Checklist

• Unit tests for rotation logic and secret fetchers.
• Integration tests for secret propagation to workloads and deployments.
• End-to-end tests of rotation, audit, and rollback paths.
• Security tests: RBAC checks, access-control enforcement, and secret leak tests.

Common Mistakes to Avoid

• Bypassing RBAC or storing plaintext secrets.
• Unclear handoffs leading to context drift between agents.
• Untracked secret versions or missing audit trails.
• Overly complex secret sources without a single source of truth.

Related implementation resources: AI Use Case for Corporate Event Managers Using Slack To Orchestrate Day-Of Venue Tasks Across Multi-Department Teams and AI Use Case for Xero Reports and Business Performance Insights.

FAQ

What problem does this AGENTS.md Template solve?

It provides a production-grade operating manual for Kubernetes secrets strategy, enabling reliable single-agent and multi-agent secret workflows with clear governance.

Who should own the Kubernetes secrets workflow?

A dedicated Secrets Architect / Orchestrator, with collaboration across secret-collectors, rotators, auditors, and domain specialists.

How are secret rotations validated?

By the secret-auditor against the central Secrets Catalog and by post-rotation verification of dependent workloads.

What happens if a rotation fails?

Fallback to the previous secret version and escalate to on-call; require human intervention before retrying.

Can external secret stores be integrated?

Yes; map external secrets to Kubernetes Secrets with secure, auditable pathways and policy gates.

Is this template adaptable to multi-cluster environments?

Yes; the orchestrator coordinates across clusters, with cluster-scoped policies and centralized auditing.