Update Harness Dependencies

OrganizationPopular

vercel

update-harness-dependencies

Update the primary SDK dependencies of harness packages. Use when asked to update the harness SDKs or harness adapter dependencies.

Overview

Publisher	vercel
Repository	`ai`
Skill name	`update-harness-dependencies`
Stars	27.1K
Forks	5.2K
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by vercel on GitHub. Read the source before you install it.

Installation

Install the Update Harness Dependencies AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/vercel/ai/tree/main/skills/update-harness-dependencies
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/vercel/ai.git /tmp/ai
mkdir -p .claude/skills
cp -r /tmp/ai/skills/update-harness-dependencies .claude/skills/update-harness-dependencies

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Update Harness Dependencies in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Update Harness Dependencies on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Update Harness Dependencies is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Update the harness packages

The harness adapters are all the packages/harness-* packages. They each rely on one or more third-party packages for the respective harness's primary SDK. It is crucial to keep those dependencies up to date.

Below you find the instructions on how to update those packages to their latest versions, while adhering to the minimum release age defined in pnpm-workspace.yaml.

Update the harness dependency packages

Run the following commands to update each harness's primary SDK packages.

For bridge harnesses (e.g. Claude Code), this will update the packages in devDependencies, while the actual package versions used as dependencies are only relevant to the harness's bridge itself.
For non-bridge harnesses (e.g. Pi), this will update the packages in dependencies.

Run these commands exactly as below:

bash
# ACP
pnpm --filter harness-acp update @agentclientprotocol/sdk @modelcontextprotocol/sdk --latest --lockfile-only
# Claude Code
pnpm --filter harness-claude-code update @anthropic-ai/claude-agent-sdk @modelcontextprotocol/sdk --latest --lockfile-only
# Cline
pnpm --filter harness-cline update @cline/agents --latest --lockfile-only
# Codex
pnpm --filter harness-codex update @openai/codex --latest --lockfile-only
# Deep Agents
pnpm --filter harness-deepagents update @langchain/core @langchain/langgraph deepagents langchain langsmith --latest --lockfile-only
# GitHub Copilot
pnpm --filter harness-github-copilot update @github/copilot --latest --lockfile-only
# Grok Build
pnpm --filter harness-grok-build update @xai-official/grok --latest --lockfile-only
# OpenCode
pnpm --filter harness-opencode update @opencode-ai/sdk --latest --lockfile-only
# Pi
pnpm --filter harness-pi update @earendil-works/pi-coding-agent --latest --lockfile-only

For the bridge dependencies of bridge harnesses, you must additionally run the following commands. It is important to specify the config.minimumReleaseAge flag in accordance with what pnpm-workspace.yaml defines, because for these commands the --ignore-workspace flag is needed.

Run these commands exactly as below:

bash
# ACP
pnpm --dir packages/harness-acp/src/v1/bridge update @agentclientprotocol/sdk @modelcontextprotocol/sdk --latest --ignore-workspace --config.minimumReleaseAge=4320
# Claude Code
pnpm --dir packages/harness-claude-code/src/bridge update @anthropic-ai/claude-agent-sdk @anthropic-ai/claude-code @modelcontextprotocol/sdk --latest --ignore-workspace --config.minimumReleaseAge=4320
# Codex
pnpm --dir packages/harness-codex/src/bridge update @openai/codex --latest --ignore-workspace --config.minimumReleaseAge=4320
# Deep Agents
pnpm --dir packages/harness-deepagents/src/bridge update @langchain/anthropic @langchain/core @langchain/langgraph deepagents langchain langsmith --latest --ignore-workspace --config.minimumReleaseAge=4320
# GitHub Copilot
pnpm --dir packages/harness-github-copilot/src/bridge update @github/copilot --latest --ignore-workspace --config.minimumReleaseAge=4320
# Grok Build
pnpm --dir packages/harness-grok-build/src/bridge update @agentclientprotocol/sdk @modelcontextprotocol/sdk @xai-official/grok --latest --ignore-workspace --config.minimumReleaseAge=4320
# OpenCode
pnpm --dir packages/harness-opencode/src/bridge update @opencode-ai/sdk opencode-ai --latest --ignore-workspace --config.minimumReleaseAge=4320

For bridge CLI packages that require install scripts, also update the exact version in the bridge's pnpm-workspace.yaml allowBuilds entry to match the new version in its package.json:

packages/harness-claude-code/src/bridge/pnpm-workspace.yaml
packages/harness-github-copilot/src/bridge/pnpm-workspace.yaml
packages/harness-grok-build/src/bridge/pnpm-workspace.yaml
packages/harness-opencode/src/bridge/pnpm-workspace.yaml

The following harness adapters use an unversioned installer script instead of an NPM package for their SDK / CLI and therefore can be ignored:

packages/harness-cursor
packages/harness-fx

Example dependencies

Check the package.json files in examples/harness-e2e-next and examples/harness-e2e-tui for any of the above SDKs they depend on. Those dependencies need to be updated to match the exact version used in the packages as well.

Verification

Run the verification script to ensure all relevant dependency versions are aligned:

bash
./tools/verify-harness-adapter-deps.mjs

If this script shows errors, you must address them, then rerun the verification script until it passes.

Frequently asked questions

What does the Update Harness Dependencies AI skill do?

Update the primary SDK dependencies of harness packages. Use when asked to update the harness SDKs or harness adapter dependencies.

Why use Update Harness Dependencies on TypingMind?

Because you install it once and use it with any model. Update Harness Dependencies is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Update Harness Dependencies in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/ai/tree/main/skills/update-harness-dependencies. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Update Harness Dependencies?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Update Harness Dependencies?

As many as you like. As long as a model supports skills, you can use Update Harness Dependencies with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Update Harness Dependencies AI skill free?

It is published on GitHub by vercel. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Claw Score

openclaw

OrganizationPopular

Audit or refresh OpenClaw maturity scorecard docs from root taxonomy, maturity scores, and QA evidence artifacts without using maintainer discrawl data or committed inventory reports.

Clawsweeper

Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions…

Control Ui E2e

Use when designing, testing, fixing, or extending the OpenClaw Control UI GUI, including UI stress-test galleries with feedback inputs, Vitest + Playwright end-to-end checks, mocked Gateway flows,…

Deslop

Diff-scoped AI-slop cleanup pass: strip comment slop, defensive-check slop, type-laundering, and style drift from the current branch diff before autoreview.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Update the harness packages

Update the harness dependency packages

Example dependencies

Verification

Frequently asked questions

Related AI Skills

Set up your own AI workspace now