$ ~/registry/skill/composiohq-composio-skills-all-images-ai-automation

SKILL

all-images-ai-automation

Name: all-images-ai-automation
Author: Composio

Automate All Images AI image generation and processing through Rube MCP.

Stars

★ 67,763

Source

GitHub

Updated

2026-07-15

// securityCaution

Prompt only, no code
Open source
Community-trusted· 64.9k

Summary

This skill appears to be primarily prompt/workflow documentation and does not itself declare local code execution, file access, or direct secret requirements. Caution is still warranted because it relies on external Rube MCP/Composio services and follow-up authorization flows, so actual data egress and permissions depend on the connected remote toolkit.

CredentialsCaution

The material says 'No API keys needed,' but it also requires creating an ACTIVE `all_images_ai` connection via `RUBE_MANAGE_CONNECTIONS` and completing an auth link, indicating possible third-party account authorization/token delegation; storage and scope restrictions are not described.

Network egressCaution

The README explicitly requires adding the remote MCP endpoint `https://rube.app/mcp` and executing All Images AI operations via Composio/Rube; this means request content, tool arguments, and session data are sent to declared external services, but the data flow and retention policy are not detailed.

Code executionLow risk

Based on the provided material, this is prompt/workflow guidance and does not declare local process spawning, script execution, or system-level capabilities; the execution path described is remote MCP tool invocation.

Data accessCaution

The skill does not itself declare direct local file read/write, but it can operate remote All Images AI tools through `RUBE_MULTI_EXECUTE_TOOL`/`RUBE_REMOTE_WORKBENCH`; the actual data access scope depends on discovered tool schemas and the permissions of the authorized account, which are not bounded in the material.

Supply chainLow risk

The source is an open GitHub repository with strong community adoption (~64.9k stars), which are clear risk-reducing signals; the provided content is mainly README/skill documentation rather than executable install scripts. License and maintenance status are not clearly stated.

Recommendations

Only connect to `https://rube.app/mcp` if you trust Rube/Composio and have reviewed where your data will be sent.
Before completing the `all_images_ai` authorization flow, inspect the exact OAuth/consent scopes and prefer a least-privilege account.
Avoid submitting sensitive images, internal documents, or personal data in tool arguments unless the remote processing and retention policy is confirmed.
Before enabling real workflows, inspect the tool schemas returned by `RUBE_SEARCH_TOOLS` to verify executable actions and data access boundaries.

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

// download

Download SKILL.mdInstall manifest ↗

// docs

All Images AI Automation via Rube MCP

Automate All Images AI operations through Composio's All Images AI toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/all_images_ai

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active All Images AI connection via RUBE_MANAGE_CONNECTIONS with toolkit all_images_ai
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 all_images_ai
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: "All Images AI 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 All Images AI task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["all_images_ai"]
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 All Images AI-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `all_images_ai`
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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