Harness Setup

CommunityPopular

Chachamaru127

harness-setup

HAR: Project init, tool setup, agent config, memory setup, skill mirror sync. Trigger: setup, init, new project, CI/Codex setup, harness-mem, mirror. Do NOT load for: implementation, review, release, planning.

Overview

Publisher	Chachamaru127
Repository	`claude-code-harness`
Skill name	`harness-setup`
Stars	3.2K
Forks	302
Bundled files	8
License	MIT
Links	Skill source Repository

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.
8 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Chachamaru127 on GitHub. Read the source before you install it.

Installation

Install the Harness Setup 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/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/harness-setup
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/harness-setup

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/Chachamaru127/claude-code-harness.git /tmp/claude-code-harness
mkdir -p .claude/skills
cp -r /tmp/claude-code-harness/codex/.codex/skills/harness-setup .claude/skills/harness-setup

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

Use it in TypingMind

Enable Harness Setup 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 Harness Setup 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 Harness Setup 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.

Harness Setup

Harness の統合セットアップスキル。以下の旧スキルを統合:

setup — 統合セットアップハブ
harness-init — プロジェクト初期化
harness-update — Harness アップデート
maintenance — ファイル整理・クリーンアップ

Quick Reference

サブコマンド	動作	詳細
`/harness-setup init`	新規プロジェクト初期化（CLAUDE.md + Plans.md + hooks + sync + doctor）	`${CLAUDE_SKILL_DIR}/references/init.md`
`/harness-setup ci`	CI/CD パイプライン設定	`${CLAUDE_SKILL_DIR}/references/ci.md`
`/harness-setup codex`	Codex CLI インストール・設定	`${CLAUDE_SKILL_DIR}/references/codex.md`
`/harness-setup harness-mem`	harness-mem 統合・メモリ設定	`${CLAUDE_SKILL_DIR}/references/harness-mem.md`
`/harness-setup mirrors`	skills/ → 公開 mirror bundle 更新	`${CLAUDE_SKILL_DIR}/references/mirrors-agents-localize.md`
`/harness-setup agents`	agents/ エージェント設定	`${CLAUDE_SKILL_DIR}/references/mirrors-agents-localize.md`
`/harness-setup localize`	CLAUDE.md ルールのローカライズ	`${CLAUDE_SKILL_DIR}/references/mirrors-agents-localize.md`
marketplace / update	Plugin install, update, dependency policy	`${CLAUDE_SKILL_DIR}/references/marketplace.md`
maintenance	ファイル整理・クリーンアップ	`${CLAUDE_SKILL_DIR}/references/maintenance.md`

Built-in slash discovery (CC 2.1.108+): /init のような built-in slash command も発見される。 Harness 固有の bootstrap が必要な時だけ /harness-setup init と使い分ける。

Claude Code setup guidance (CC 2.1.120+): MCP alwaysLoad、${CLAUDE_EFFORT}、claude plugin prune、claude project purge、 ANTHROPIC_BEDROCK_SERVICE_TIER、claude_code.skill_activated.invocation_trigger、 Windows PowerShell primary shell、forked skills / subagents の deferred tools は docs/claude-code-setup-mcp-telemetry-provider.md を正本として扱う。

Codex plugin workflows: Codex /goal と Plans.md を二重管理しない。 plugin-bundled hooks は opt-in、external agent import は ownership 明記、 MultiAgentV2 / agents.max_threads = 8 は上限として扱い、 sticky environments / app-server artifacts は safe default を優先する。 Codex 0.130.0 stable の codex remote-control、large thread pagination、 selected-environment view_image、live app-server config refresh、 accurate turn diffs、plugin details bundled hooks、sharing discoverability controls は docs/codex-plugin-workflows-policy.md を正本として扱う。詳細は docs/codex-plugin-workflows-policy.md と ${CLAUDE_SKILL_DIR}/references/codex.md を参照。

Execution

状態確認だけの依頼は read-only の診断で完了する。setup 依頼は対象、望む状態、合格条件を既存設定と照合し、明示された surface の変更を進める。不足情報は設定や契約を読み取りで回収する。任意機能を追加したり、対象外の設定や保護された設定を目的から推測して変更したりしない。

ユーザーの目的に対応する Quick Reference 行を選ぶ。
該当する ${CLAUDE_SKILL_DIR}/references/*.md を読む。
参照ファイルの手順に従い、dry-run がある操作は dry-run を先に実行する。
setup 後は必要に応じて harness doctor、bash scripts/sync-skill-mirrors.sh --check、bash scripts/ci/check-consistency.sh で確認する。

Upstream Policy Anchors

docs/plugin-managed-settings-policy.md — plugin managed settings policy; normal defaults must not inherit managed marketplace restrictions.
docs/codex-provider-setup-policy.md — Codex provider setup policy, including amazon-bedrock and model_provider = "amazon-bedrock" examples.
Codex 0.123.0 以降の MCP diagnostics / plugin MCP loading guidance: use /mcp verbose and docs/codex-mcp-diagnostics.md for diagnostics.
Codex sandbox / execution policy (0.123.0+): see docs/codex-sandbox-execution-policy.md for remote_sandbox_config and execution constraints.

Cursor 実装バックエンド導入

詳細手順は ${CLAUDE_SKILL_DIR}/references/cursor.md を読む。契約アンカー: set-impl-backend.sh は AI 実行可。permissions.json、.cursorignore、*.cursor.sh allowlist はユーザー手動で、AI が編集できない protected path として扱う。根拠ルールは .claude/rules/cursor-cli-only.md と docs/sandbox-allowlist-recipe.md。

Reference Index

${CLAUDE_SKILL_DIR}/references/init.md — init, Go binary verification, plugin sync, doctor.
${CLAUDE_SKILL_DIR}/references/ci.md — GitHub Actions CI setup.
${CLAUDE_SKILL_DIR}/references/codex.md — Codex CLI, provider/model metadata, app-server, MCP diagnostics, sandbox policy.
${CLAUDE_SKILL_DIR}/references/cursor.md — Cursor implementation backend setup and boundaries.
${CLAUDE_SKILL_DIR}/references/harness-mem.md — memory directory and template setup.
${CLAUDE_SKILL_DIR}/references/mirrors-agents-localize.md — mirror sync, agent setup, localization.
${CLAUDE_SKILL_DIR}/references/marketplace.md — plugin marketplace install/update and managed dependency policy.
${CLAUDE_SKILL_DIR}/references/maintenance.md — cleanup commands and related skills.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/ci.md1 KB
references/codex.md7 KB
references/cursor.md3 KB
references/harness-mem.md1 KB
references/init.md2 KB
references/maintenance.md1 KB
references/marketplace.md3 KB
references/mirrors-agents-localize.md1 KB

Frequently asked questions

What does the Harness Setup AI skill do?

Why use Harness Setup on TypingMind?

Because you install it once and use it with any model. Harness Setup 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 Harness Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/harness-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Harness Setup?

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 Harness Setup?

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

Is the Harness Setup AI skill free?

Yes. It is published on GitHub by Chachamaru127 under the MIT license. 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.

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Harness Setup

Overview