$ ~/registry/skill/composiohq-composio-skills-botbaba-automation

SKILL

botbaba-automation

Name: botbaba-automation
Author: Composio

Automate Botbaba tasks and connect them into multi-step workflows via Rube MCP.

Stars

★ 67,763

Source

GitHub

Updated

2026-07-15

// securityCaution

Prompt only, no code
Open source
Community-trusted· 64.7k

Summary

This skill appears to be a prompt/documentation-style wrapper with no declared built-in secrets, local code execution, or local file access. However, it is designed to steer users into connecting to remote Rube MCP/Composio and Botbaba integrations, so overall it is low risk with some caution around the downstream remote toolchain.

CredentialsLow risk

The material explicitly states there are no local API keys or environment variables required, and the README says the MCP endpoint can be added directly. While a later external auth link may be used via `RUBE_MANAGE_CONNECTIONS` to establish a Botbaba connection, this skill does not directly request user credentials and shows no clear credential-abuse pattern.

Network egressCaution

The README points to the remote MCP endpoint `https://rube.app/mcp` and relies on Composio/Botbaba-related remote services for tool discovery, connection management, and execution. Contacting declared endpoints is normal for this type of skill, but user task content and arguments are likely sent to those remote services, so privacy and data-handling boundaries should be verified.

Code executionLow risk

The system marks this material as prompt-only, and nothing shown indicates that it launches local processes, runs scripts, or requests system-level permissions on the host. The README references `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH` as downstream remote capabilities, which does not by itself mean the skill performs local code execution.

Data accessLow risk

There is no indication that the skill reads or writes local files, databases, the clipboard, or other host resources; it mainly instructs how to discover and execute Botbaba operations through remote tools. Based on the material itself, there is no obvious sign of excessive local data access.

Supply chainLow risk

The source is a GitHub open-source repository with strong community adoption (64.7k stars), which is a meaningful risk-reducing factor; it is also classified as open-source and prompt-only, making it relatively auditable. The license is unspecified and maintenance status is unknown, so it is still worth checking repository freshness and consistency with upstream Composio/Rube documentation before production use.

Recommendations

Use it only if you are comfortable sending task parameters to `rube.app` / Composio / Botbaba-related services, and avoid submitting sensitive data.
During the external authorization flow triggered by `RUBE_MANAGE_CONNECTIONS`, verify the destination domain and requested scopes match legitimate Botbaba needs.
For production use, review the upstream toolkit docs and recent repository activity to confirm the instructions are not outdated.
If stricter control is needed, restrict which MCP servers and downstream tools this skill is allowed to work with.

Audited by: gpt-5.4 · 2026-06-17

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "botbaba-automation" skill from askskill:
1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/botbaba-automation/SKILL.md
2. Save it as ~/.claude/skills/botbaba-automation/SKILL.md
3. Reload skills and tell me it's ready

// download

Download SKILL.mdInstall manifest ↗

// docs

Botbaba Automation via Rube MCP

Automate Botbaba operations through Composio's Botbaba toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/botbaba

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Botbaba connection via RUBE_MANAGE_CONNECTIONS with toolkit botbaba
Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
Call RUBE_MANAGE_CONNECTIONS with toolkit botbaba
If connection is not ACTIVE, follow the returned auth link to complete setup
Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS
queries: [{use_case: "Botbaba operations", known_fields: ""}]
session: {generate_id: true}

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

Core Workflow Pattern

Step 1: Discover Available Tools

RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Botbaba task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["botbaba"]
session_id: "your_session_id"

Step 3: Execute Tools

RUBE_MULTI_EXECUTE_TOOL
tools: [{
  tool_slug: "TOOL_SLUG_FROM_SEARCH",
  arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"

Known Pitfalls

Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS
Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools
Schema compliance: Use exact field names and types from the search results
Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})
Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows
Pagination: Check responses for pagination tokens and continue fetching until complete

Quick Reference

Operation	Approach
Find tools	`RUBE_SEARCH_TOOLS` with Botbaba-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `botbaba`
Execute	`RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs
Bulk ops	`RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`
Full schema	`RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef`

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