constrain

Evaluate proposed actions against policies to enforce least privilege.

4|1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/synaptiai/agent-capability-standard --skill constrain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: constrain
Source: https://github.com/synaptiai/agent-capability-standard/tree/main/skills/constrain
Command: npx skills add https://github.com/synaptiai/agent-capability-standard --skill constrain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enforce guardrails and least privilege by evaluating actions against policy definitions and refusing unsafe actions.

Core Features & Use Cases

  • Policy evaluation and decision making (allow/deny) with rationale
  • Automated scope reduction to the minimum permissions necessary
  • Auditable provenance and evidence anchoring for compliance

Quick Start

Evaluate a proposed action against policies and reduce the scope to the minimum required for safe execution.

Frequently Asked Questions about constrain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate proposed actions against security policies to enforce least privilege?

Policy evaluation checks proposed actions against policy definitions to enforce least privilege, determining allow or deny decisions and computing scope reductions to the minimum permissions necessary for safe execution.

What is scope reduction in policy evaluation and when do I need it?

Scope reduction in policy evaluation automatically minimizes permissions to the lowest level required for an action. You need it when applying least privilege to user actions, system calls, or API requests to maintain workspace boundaries.

How do I enforce guardrails and refuse unsafe actions automatically?

To enforce guardrails automatically, evaluate proposed actions against policy definitions and refuse unsafe actions. This process checks for sensitive targets and enforces workspace boundaries before outputting a structured compliance verdict.

Can I get an auditable compliance verdict and evidence anchors for policy decisions?

Yes, policy evaluation outputs a structured result with auditable provenance and evidence anchors for compliance. This provides a clear compliance verdict and rationale for every allow or deny decision made during action evaluation.

What's the best way to check API requests for sensitive targets before execution?

The best way to check API requests for sensitive targets is evaluating them against policy definitions before execution. This enforces workspace boundaries and outputs a structured result with a compliance verdict to prevent unauthorized access.

Does policy evaluation work for both user actions and system calls?

Yes, policy evaluation applies when evaluating user actions, system calls, or API requests against policy definitions. It enforces least privilege across all these contexts by checking for sensitive targets and computing necessary scope reductions.