AGENTS.md Template: Secrets Management Architecture for AI Coding Agents

Overview

This AGENTS.md Template defines a secrets management architecture for AI coding agents. It governs single-agent secrets workflows and multi-agent orchestration with explicit handoffs, memory, and tool governance. Direct answer: it provides a complete operating manual that enables secure, auditable secret handling across an agent fleet.

By following this template, teams can align on roles, sources of truth, and escalation paths for secrets. It also sets clear constraints to avoid context drift and unauthorized access during agent handoffs.

When to Use This AGENTS.md Template

• You need a repeatable, auditable secrets management workflow for AI coding agents
• You operate a single agent and a multi-agent orchestration pattern requiring coordinated secret rotation
• You require strict tool governance, access controls, and incident response for secrets
• You want a formal handoff protocol between planner, implementer, reviewer, and domain experts
• You need a single source of truth and traceable memory about secret state

Copyable AGENTS.md Template

# AGENTS.md

Project role
- SecretsOps Lead coordinates all secrets lifecycle and audits across agents

Agent roster and responsibilities
- Planner: designs secret workflows and rotation cadence
- Implementer: provisions and updates secrets with least privilege
- Reviewer: validates policy compliance and rotation impact
- Tester: simulates secret flows in staging
- Researcher: surfaces new key management patterns and tooling
- Domain specialist: provides context on service principals and scopes

Supervisor or orchestrator behavior
- Orchestrator enforces policy, memory, and SOT rules; triggers handoffs; records decisions in a central manifest

Handoff rules between agents
- Planner to Implementer: share rotation cadence, secret scopes, and rotation triggers
- Implementer to Reviewer: share secret changes and validation results
- Reviewer to Tester: authorize staging tests and sign-off
- Tester to Planner: report failures and adjust plan

Context, memory, and source-of-truth rules
- All secrets state stored in a central secure store with immutable history
- Agents reference memory by a shared SecretsIndex and event log
- Source of truth for policy is the SecretsPolicy document in the repository

Tool access and permission rules
- Only the Implementer may write secrets to production stores
- Read access to secrets is restricted by role and scope
- All API calls to secret stores are logged and audited

Architecture rules
- Use a centralized secret store with envelope encryption
- Separate duties: plan, apply, review, test, deploy
- Rotate credentials on cadence and on suspected breach

File structure rules
- secrets/ for current state
- policies/ for rotation rules and access control
- logs/ for audit trails
- manifests/ for agent plans and memory state

Data, API, or integration rules when relevant
- Secrets are never logged in plain text
- Secrets access is token-scoped and time-limited
- Rotate keys using approved providers with revocation hooks

Validation rules
- Verify rotation succeeds without breaking connectivity
- Validate that all services have updated secrets and correct permissions

Security rules
- Secrets are encrypted at rest and in transit
- Secrets access requires MFA and least privilege
- No hard-coded secrets in code or notebooks

Testing rules
- Unit tests for rotation logic
- Integration tests for API calls and vault interactions
- End-to-end tests for secret provisioning in staging

Deployment rules
- Deploy secret rotation changes via approved CI with rollback capability
- Pact review for new secret providers or scopes

Human review and escalation rules
- Any rotation impacting production must be reviewed by a human and logged
- Escalate suspected breach immediately to Security

Failure handling and rollback rules
- Rollback to previous secret version if rotation fails
- Abort deployment if service health degrades beyond threshold

Things Agents must not do
- Do not store secrets in plaintext
- Do not rotate secrets without policy approval
- Do not bypass access controls
- Do not perform secret provisioning without an auditable trail

Recommended Agent Operating Model

Roles and decision boundaries are defined to enable safe multi-agent orchestration. The Planner creates a rotation plan, Implements executes changes, Reviewers validate, Testers verify, Researchers propose improvements, and Domain specialists contextualize service scopes and principals. Escalation paths exist for policy breaches and failure scenarios.

Recommended Project Structure

secrets-management-project/
  agents/
    planner/
    implementer/
    reviewer/
    tester/
    researcher/
    domain-specialist/
  configs/
  policies/
  secrets/
  manifests/
  logs/
  tests/
  docs/

Core Operating Principles

• Single source of truth for secret state
• Explicit handoffs and escalation paths
• Least privilege with auditable actions
• Policy-driven secret rotation cadence
• End-to-end validation before production changes

Agent Handoff and Collaboration Rules

• Planner to Implementer: share rotation cadence and scopes
• Implementer to Reviewer: share changes and test results
• Reviewer to Planner: approve changes or request plan adjustments
• Domain specialist to Implementer: confirm service principals and scopes
• Researchers to all: surface improvements and new tooling options

Tool Governance and Permission Rules

• Secrets access is role scoped and audited
• Production writes require multiple approvals
• All API calls are signed and logged
• No direct secrets embedding in code or notebooks

Code Construction Rules

• Secret handling follows envelope encryption
• Rotation tests simulate failures safely
• Code paths must fail closed on secret errors

Security and Production Rules

• Secrets encrypted at rest and in transit
• Audit trails retained for all secret changes
• Access revocation on role changes

Testing Checklist

• Unit tests for rotation logic
• Integration tests with vault/provider
• End-to-end tests in staging with sample secrets
• Smoke tests after deployment

Common Mistakes to Avoid

• Storing secrets in plaintext or wrong storage
• Ignoring rotation policy or audit logs
• Bypassing access controls for convenience
• Unclear handoffs causing state drift

Related implementation resources: AI Agent Use Case for Chemical Suppliers Using Safety Databases To Instantly Provide Regulatory Compliance Documents To Clients and AI Use Case for Ndas and Risk Flagging.

FAQ

What is this AGENTS.md Template for secrets management architecture?

It provides a copyable operating manual for securing, rotating, and orchestrating secrets across AI coding agents.

How does multi-agent orchestration handle secret rotation?

Orchestrators coordinate cadence, enforce policy, and ensure all agents update their secrets in a synchronized fashion with rollback options.

What are the handoff rules between planner and implementer?

Planner passes rotation cadence, secret scopes, and validation criteria; Implementer executes changes and reports results for review.

How is tool governance enforced in this template?

Access is restricted by role, actions are logged, production changes require approvals, and secrets are never logged in plain text.

What is the lifecycle for secret rotation in this workflow?

Plan → Implement → Validate → Test → Deploy with continuous monitoring and a rollback path if health degrades.