Skill Detail

Audit and deploy cross-agent extensions with HarnessKit

Use HarnessKit to inventory, audit, enable, disable, and deploy skills, MCP servers, plugins, hooks, CLIs, configs, memory, and rules across multiple coding agents.

Developer ToolsMulti-Framework
Developer Tools Multi-Framework Security Reviewed
⭐ 396 GitHub stars
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill audit-and-deploy-cross-agent-extensions-with-harnesskit Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
HarnessKit hk CLI or desktop app, supported AI coding agent config directories, optional project directories for scoped extension management
Install & setup
Download the HarnessKit desktop app or hk CLI binary from https://github.com/RealZST/HarnessKit/releases/latest, or inspect the upstream install script before running it. Start with hk status, run hk audit for extension trust findings, use hk list --kind skill --agent to inspect installed skills, and use hk serve for the local web UI when managing headless or remote machines.
Author
RealZST
Publisher
Individual
Last updated
Aug 16, 2026
Quick brief

Use HarnessKit when an agent operator needs to manage extension and configuration drift across several AI coding agents from one local control surface. The workflow is to inventory installed skills, MCP servers, plugins, hooks, CLIs, configs, memory, rules, subagents, and ignore files; inspect permissions and trust findings; enable or disable risky extensions; deploy missing extensions to target agents; and package reusable kits for projects or machines. Invoke this instead of opening each agent normally when the task is cross-agent setup, audit, migration, or repeatable project provisioning across Claude Code, Codex, Gemini CLI, Cursor, OpenCode, and similar agents. The boundary is local cross-agent extension/config visibility, security review, native-path management, and kit deployment through the `hk` CLI or HarnessKit UI; it is not a replacement for using the agents themselves.

How it works

What this skill actually does

Inputs and prerequisites: HarnessKit `hk` CLI or desktop app, at least one supported AI coding agent, access to the local agent config and extension directories, and optional project directories for scoped management.

Setup notes: Download the current HarnessKit desktop app or CLI binary from the GitHub releases page, or review the upstream install script before running it. Use `hk status` to inventory agents, `hk list –kind skill –agent ` to filter extensions, `hk audit` to inspect trust findings, `hk enable` or `hk disable` to manage extensions, and `hk serve` when a local web UI is preferred.

Source and verification boundary: use https://github.com/RealZST/HarnessKit as the canonical reference before running the workflow; keep CLI actions, local file changes, and generated kits reviewable against the upstream README and release artifacts.

Framework fit: publish this as a Multi-Framework workflow because HarnessKit is explicitly designed to manage multiple agent runtimes and extension formats, while the approved skill stays focused on cross-agent extension/config operations.