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roster

Enumerate locally installed headless AI CLIs and map their capabilities.

13|3|Updated Mar 2, 2026
Search Tags:#benchmark#inventory#roster#adversarial-review#model-providers#headless-cli
One-click install
npx skills add https://github.com/misty-step/harness-kit --skill roster-misty-step
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: roster
Source: https://github.com/misty-step/harness-kit/tree/main/skills/roster
Command: npx skills add https://github.com/misty-step/harness-kit --skill roster-misty-step

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enumerates and catalogs the headless AI CLIs installed on a machine, enabling quick cross-model evaluation and governance reviews.

Core Features & Use Cases

  • Discover installed CLIs and their capabilities to compare model providers.
  • Support adversarial critique and multi-provider benchmarking across tools like codex, pi, goose, opencode, claude, cursor-agent, grok, agy, hermes, and oracle.
  • Use case: quickly assemble a cross-family capability map for a new project or eval session.

Quick Start

Run the roster probe to enumerate locally installed CLIs.

Frequently Asked Questions about roster

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

FAQPage Schema
How do I inventory locally installed headless AI CLIs for cross-model evaluation?▼

To inventory locally installed headless AI CLIs, run the roster probe to enumerate supported tools and map their capabilities for cross-model evaluation. It catalogs CLIs like codex, goose, and claude to outline the local roster surface.

What is a local CLI roster surface for model-provider benchmarking?▼

A local CLI roster surface is a catalog of installed headless AI CLIs and their probe statuses. It maps supported tools to provider capabilities and model identifiers, enabling rapid multi-provider benchmarking and governance reviews.

Does the roster probe support discovering CLIs like cursor-agent, grok, and oracle?▼

Yes, the roster probe supports discovering installed CLIs including cursor-agent, grok, oracle, pi, opencode, agy, and hermes. It identifies these tools to help you quickly assemble a cross-family capability map.

How do I map provider capabilities and model identifiers across adversarial critique tools?▼

You can map provider capabilities and model identifiers by running the roster probe to compare locally installed CLIs. It outlines probe status and results to support adversarial critique and cross-model research decisions.

Can I use a CLI inventory to support governance reviews for multiple AI model providers?▼

Yes, you can use a CLI inventory to support governance reviews by enumerating locally installed headless AI CLIs. This provides a clear cross-family capability map to inform decisions across model providers.

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