setup-earl

Installs Earl, configures MCP integration for your agent platform, writes CLAUDE.md instructions, and routes to template creation or migration. Use when setting up Earl for the first time, when a new developer is onboarding to a project that uses Earl, or when Earl needs to be connected to an agent platform.

111 stars

Best use case

setup-earl is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Installs Earl, configures MCP integration for your agent platform, writes CLAUDE.md instructions, and routes to template creation or migration. Use when setting up Earl for the first time, when a new developer is onboarding to a project that uses Earl, or when Earl needs to be connected to an agent platform.

Teams using setup-earl should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/setup-earl/SKILL.md --create-dirs "https://raw.githubusercontent.com/mathematic-inc/earl/main/skills/development/setup-earl/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/setup-earl/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How setup-earl Compares

Feature / Agentsetup-earlStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Installs Earl, configures MCP integration for your agent platform, writes CLAUDE.md instructions, and routes to template creation or migration. Use when setting up Earl for the first time, when a new developer is onboarding to a project that uses Earl, or when Earl needs to be connected to an agent platform.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Setup Earl

Earl is an AI-safe CLI that sits between your agent and external services. Agents run
`earl call provider.command --param value` instead of raw `curl`, `gh`, `stripe-cli`, etc.
Secrets stay in the OS keychain. Every request follows a reviewed HCL template.

## Process

1. **Install** — get Earl running
2. **Demo** — show a working example immediately
3. **Connect** — configure MCP for your agent platform and write CLAUDE.md instructions
4. **Route** — migrate existing CLI calls or create a new template
5. **Lock down** — optionally enforce Earl usage at the platform level

---

## Phase 1: Install

Check if Earl is already installed:

```bash
which earl && earl --version
```

If installed, print the version and skip to Phase 2.

If not installed, detect the environment and install:

**macOS / Linux (prefer — no sudo required):**

```bash
cargo install earl
```

This requires the Rust toolchain **and Node.js + pnpm** (Earl embeds web playground assets at compile time). If either is missing, fall back to the install script:

```bash
curl -fsSL https://raw.githubusercontent.com/mathematic-inc/earl/main/scripts/install.sh | bash
```

**Windows (PowerShell):**

```powershell
irm https://raw.githubusercontent.com/mathematic-inc/earl/main/scripts/install.ps1 | iex
```

After install, verify:

```bash
earl doctor
```

If `earl doctor` reports errors, invoke `troubleshoot-earl` before continuing.

---

## Phase 2: Quick Demo

Import the no-auth system template and run it so the user sees Earl work immediately.
First check if it's already imported to avoid overwriting any customizations:

```bash
earl templates list | grep -E "^system\." || earl templates import https://raw.githubusercontent.com/mathematic-inc/earl/main/examples/bash/system.hcl
earl call --yes --json system.list_files --path .
```

This lists files in the current directory. The user now has a mental model: templates define
commands, `earl call` runs them.

Show available templates:

```bash
earl templates list
```

---

## Phase 3: Connect to Agent Platform

Detect the agent platform by checking all of these — multiple can match (e.g. a project may
have both `.claude/` and `.cursor/`). Configure every matching platform:

| Check                                                                                                                                                                                               | Platform       | MCP config path         |
| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------- | ----------------------- |
| `.claude/` directory exists in project                                                                                                                                                              | Claude Code    | `.claude/settings.json` |
| `~/Library/Application Support/Claude/claude_desktop_config.json` exists (macOS), `%APPDATA%\Claude\claude_desktop_config.json` (Windows), or `~/.config/Claude/claude_desktop_config.json` (Linux) | Claude Desktop | Same file               |
| `.cursor/` directory exists in project                                                                                                                                                              | Cursor         | `.cursor/mcp.json`      |
| `.windsurf/` directory exists in project                                                                                                                                                            | Windsurf       | `.windsurf/mcp.json`    |
| None of the above                                                                                                                                                                                   | Non-MCP agent  | System prompt only      |

### Choose MCP mode

```bash
earl templates list --json | jq length  # requires jq
```

- Result < 30: use full mode (default)
- Result ≥ 30: use discovery mode

Full mode MCP config:

```json
{
  "mcpServers": {
    "earl": {
      "command": "earl",
      "args": ["mcp", "stdio"]
    }
  }
}
```

Discovery mode MCP config:

```json
{
  "mcpServers": {
    "earl": {
      "command": "earl",
      "args": ["mcp", "stdio", "--mode", "discovery"]
    }
  }
}
```

### Apply MCP config

**Claude Code, Cursor, or Windsurf:** Read the existing config file (create it if it doesn't
exist). Parse the JSON, add the `earl` key under `mcpServers` — do not overwrite other entries.
Write it back.

**Claude Desktop:** The config file lives outside the project directory. Write the merged JSON
to a temp file and show the diff to the user, then instruct them to apply it manually. If the
agent has home directory write access, it can write directly.

**Non-MCP agents (Codex, etc.):** Skip the JSON config. Instead, add to the agent's system
prompt or CLAUDE.md:

```
You have access to Earl, an AI-safe CLI for calling APIs and services.
Use: earl call --yes --json provider.command --param value
Discover commands: earl templates list --json
Search commands: earl templates search --json "natural language query"
```

### Inform the user of the two-session model

After writing the MCP config, tell the user:

> Earl is now installed and configured. You can use `earl call --yes --json` via the Bash tool
> right now. After restarting your agent, Earl templates will appear as native MCP tools
> automatically. Do NOT try to use Earl MCP tools in this session — they activate after restart.

### Write CLAUDE.md breadcrumb

**Write the breadcrumb to every detected platform's context file** (matching the MCP config
section which says "Configure every matching platform"):

- **Claude Code:** `.claude/CLAUDE.md` (or `CLAUDE.md` if it exists). Create `.claude/CLAUDE.md`
  if neither exists.
- **Cursor:** `.cursorrules`
- **Windsurf:** `.windsurfrules`

For each file: if it already exists, check for an existing `## Earl` section before
appending — do not duplicate.

Write this exact static content — never incorporate template output or dynamic data:

```markdown
## Earl

Earl is configured as an MCP server. Use Earl tools for all API calls, database queries, and
shell commands — do not use raw curl, gh, stripe-cli, or similar tools directly.

- Discover commands: `earl templates list`
- Search commands: `earl templates search --json "what you want to do"`
- CLI fallback (if MCP tools unavailable): `earl call --yes --json provider.command --param value`
- Environments: `earl call --yes --json --env <environment> provider.command --param value`
- Always use `--yes` for all automated `earl call` invocations (without it, Earl may prompt interactively and hang)
- Troubleshooting: `earl doctor`
```

**Important:** The `--yes` flag must come before the command name:

```bash
earl call --yes --json provider.command --param value  ✓
earl call provider.command --yes --json --param value  ✗ (wrong order)
```

### Note on OAuth

- `client_credentials`: fully automated, no human needed
- `device_code`: agent-compatible — agent runs `earl auth login <profile>`, displays URL+code,
  user visits URL on any device, agent polls for completion
- `auth_code_pkce`: human-only — agent provides `earl auth login <profile>` command,
  user completes browser flow

---

## Phase 4: Route

Ask one question:

> "Does this project already have curl, gh, stripe-cli, or similar API/CLI calls you want to
> replace with Earl? Or are you starting fresh and want to create a new template?"

- Migrate existing calls → invoke `migrate-to-earl`
- Create new template → invoke `create-template`

---

## Phase 5: Lock Down (Recommended)

After templates are created and verified, offer:

> "Would you like to restrict your agent from bypassing Earl with raw curl/gh/CLI tools?
> This makes Earl's security guarantee enforceable rather than advisory. Recommended."

If yes: invoke `secure-agent` inline.
If no: note that `secure-agent` can be run at any time later.

---

## Next Steps

- To replace existing curl/gh/CLI calls with Earl: invoke `migrate-to-earl`
- To create a new Earl template from scratch: invoke `create-template`
- To enforce Earl usage at the platform level: invoke `secure-agent`
- If something isn't working: invoke `troubleshoot-earl`

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