copilot-cli-agent

Dispatch Copilot CLI sub-agents for isolated, non-interactive analyses.

5|3|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/richfrem/agent-plugins-skills --skill copilot-cli-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: copilot-cli-agent
Source: https://github.com/richfrem/agent-plugins-skills/tree/main/plugins/copilot-cli/skills/copilot-cli-agent
Command: npx skills add https://github.com/richfrem/agent-plugins-skills --skill copilot-cli-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Dispatches specialized Copilot CLI sub-agents to run isolated, deterministic analyses on large contexts, enabling teams to perform security audits, architecture reviews, or QA tasks without cross-contamination of state.

Core Features & Use Cases

  • Isolated Execution: Each analysis runs in a clean, non-interactive sub-agent context.
  • Persona-Based Analysis: Dispatch designated Copilot CLI personas to perform targeted reviews (security, architecture, QA).
  • Deterministic Outputs: Structured, parseable results suitable for automated post-processing.
  • Use Case: Red-team security audit on a codebase; architecture validation for a microservices upgrade; rigorous QA review of critical modules.

Quick Start

Run a persona-based Copilot CLI sub-agent on your codebase by executing the provided orchestrator command with a selected persona and a clear instruction.

Frequently Asked Questions about copilot-cli-agent

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

FAQPage Schema
How do I run an isolated security audit on a large codebase without context contamination?

To run an isolated security audit, you can dispatch specialized Copilot CLI sub-agents that execute non-interactive analyses in a fresh model context, preventing cross-contamination of state.

What is the best way to perform deterministic architecture reviews using CLI sub-agents?

Deterministic architecture reviews are achieved by dispatching Copilot CLI sub-agents that enforce structured, parseable output formats, ensuring results are suitable for automated post-processing.

Can I use Copilot CLI personas for scripted QA analysis on critical modules?

Yes, you can use Copilot CLI personas for scripted QA analysis by dispatching designated sub-agents to perform targeted reviews within isolated contexts.

How do I automate post-processing of architecture review outputs from CLI agents?

You can automate post-processing because the sub-agents define and enforce deterministic output formats, generating structured and parseable results directly from the Python orchestrator.

Does the Copilot CLI sub-agent orchestrator limit tool usage during analysis?

Yes, the orchestrator limits tool usage strictly to the agent's prompt, ensuring the isolated sub-agent executes its designated analysis without unauthorized tool access.

When should I use isolated sub-agents instead of standard interactive CLI analysis?

Use isolated sub-agents when performing security audits, architecture reviews, or QA tasks on large contexts where a fresh model context is required to prevent cross-contamination of state.