mathematic-inc/earl/setup-earl
Claude Code and agent skill by mathematic-inc/earl
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install mathematic-inc/earl/setup-earlSKILL.md
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
- Install — get Earl running
- Demo — show a working example immediately
- Connect — configure MCP for your agent platform and write CLAUDE.md instructions
- Route — migrate existing CLI calls or create a new template
- Lock down — optionally enforce Earl usage at the platform level
Phase 1: Install
Check if Earl is already installed:
If installed, print the version and skip to Phase 2.
If not installed, detect the environment and install:
macOS / Linux (prefer — no sudo required):
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:
Windows (PowerShell):
After install, verify:
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:
This lists files in the current directory. The user now has a mental model: templates define commands, earl call runs them.
Show available templates:
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
- Result < 30: use full mode (default)
- Result ≥ 30: use discovery mode
Full mode MCP config:
Discovery mode MCP config:
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:
Inform the user of the two-session model
After writing the MCP config, tell the user:
Earl is now installed and configured. You can useearl call --yes --jsonvia the Bash toolright now. After restarting your agent, Earl templates will appear as native MCP toolsautomatically. 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(orCLAUDE.mdif 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:
Important: The --yes flag must come before the command name:
Note on OAuth
client_credentials: fully automated, no human neededdevice_code: agent-compatible — agent runsearl auth login <profile>, displays URL+code,
user visits URL on any device, agent polls for completion
auth_code_pkce: human-only — agent providesearl 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 toreplace 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
Security
- Security scanPassed, 76 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/development/setup-earl/SKILL.md
Popularity
- Repository stars
- 110
- Repository forks
- 7
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 Mar 2026, 7 months ago.
Works with
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