Reusable AI capability

Reconcile Effective Agent Tool Permissions

Compare approved and effective agent tool access across identities, environments, and time to detect drift, bound affected actions, and govern recertification.

This Skill is a reusable set of instructions based on the linked Amo.ng Prompt or Workflow. It tells you what to provide, how to apply the method and how to know when the task is complete. It does not run automatically.

Skill ID
AMO-S-000021
Based on
Prompt
Published

Copy Skill copies the full Skill instructions. Use with AI copies those instructions with a short guide for your chosen AI tool. Both actions only copy text—they do not send anything to an AI provider or run the Skill.

Purpose

Give security, identity, platform, and tool owners a repeatable permission-reconciliation capability for release reviews, periodic recertification, and incident investigation.

Required inputs

Have these details available before following the usage instructions.

  • Agent, service, user, tool, connector, environment, and resource identities
  • Approved role, scope, purpose, time, tenant, and environment access baselines
  • Effective policy, group, credential, token, tool schema, runtime, and exception data
  • Change history, recertification records, audit logs, affected actions, and owner assignments

How to use this Skill

When to use:
- Agent tool permissions may have expanded, persisted, or diverged from approval.
- A release, incident, or periodic access review needs the effective rather than documented boundary.

When not to use:
- Generic tool selection or agent architecture design.
- Changing access without identity, security, tool, and resource-owner authority.

Reusable method:
1. Freeze the approved permission baseline by principal, tool, operation, resource, purpose, tenant, environment, and validity period.
2. Reconstruct effective access from every policy layer, group, credential, token, connector, tool schema, runtime rule, and exception.
3. Compare approved and effective permissions over time and classify excess, missing, stale, inherited, shadow, bypassed, or unresolved access.
4. Trace material drift to changes and affected actions without assuming unused access caused an incident.
5. Define containment, least-privilege correction, exception expiry, recertification evidence, negative tests, and monitoring.

Expected output:
An approved-to-effective permission matrix, drift timeline, affected-action register, evidence and uncertainty, containment needs, owner-specific recertification actions, and regression gates.

Boundaries:
Do not claim policies, tokens, logs, revocations, or changes were inspected or executed without evidence. Identity, tool, resource, and security owners authorize access changes; service and release owners decide operating restrictions. Source: AMO-P-000298.

Based on an Amo.ng Prompt

Tool Permission Drift Investigation

Open the linked Prompt to read the instructions this Skill is based on.

Open prompt

Completion criteria

Complete when each material permission has an approved and effective state or explicit evidence gap; drift is bounded by principal, action, resource, environment, and time; affected actions are traceable; and every correction or exception has an owner, verification, and recertification date.

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