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

SKILL

giphy-automation

Name: giphy-automation
Author: Composio

Automate Giphy searches and GIF management workflows through 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 is primarily a prompt-style wrapper around Rube MCP. It does not request local API keys in the provided material, and it comes from a high-star open-source repository, so overall risk is relatively low. However, actual use depends on a remote MCP service and external Giphy/Composio connections, which introduces network interaction and third-party data handling that should be reviewed.

CredentialsCaution

The material claims 'no API keys needed', but it requires establishing a `giphy` connection via `RUBE_MANAGE_CONNECTIONS` and following an external auth link. This suggests credentials are likely handled within the Rube/Composio connection system rather than being truly credential-free. No explicit credential theft pattern is shown, but the third-party authorization scope should be reviewed.

Network egressCaution

It explicitly requires adding the remote MCP endpoint `https://rube.app/mcp` and using Composio's Giphy toolkit for operations. Queries, arguments, session IDs, and potentially business data in workflows may be sent to that remote service and related third parties, representing expected network egress.

Code executionLow risk

The system flags it as `prompt-only`, and the material does not describe spawning local processes, running scripts, or invoking OS-level capabilities. Its core function is to guide use of remote MCP tools rather than execute code locally.

Data accessCaution

There is no indication of direct local file or system data access. However, `RUBE_SEARCH_TOOLS`, `RUBE_MULTI_EXECUTE_TOOL`, and `RUBE_REMOTE_WORKBENCH` can send user-supplied task content, parameters, and context to the remote toolchain. Local data-access risk appears low, but exposure of business data to remote services should be considered.

Supply chainLow risk

The source is an open-source GitHub repository with strong community adoption (64.7k stars), both of which are meaningful risk-reducing signals. The provided material is mainly README/skill documentation, so auditability is comparatively good. It is still worth noting that this is a skills aggregation repo, the license is unspecified, and maintenance status is unknown, but these facts alone do not justify a high-risk rating.

Recommendations

Review the privacy policies and data-processing scope of `rube.app/mcp`, Composio, and Giphy before enabling it.
Grant only the minimum account permissions needed for Giphy automation and avoid linking highly sensitive primary accounts.
Log or inspect the actual parameters and content sent during production use to avoid unnecessary data exposure to remote tools.
Prefer pinned, auditable versions or repository commits to reduce hidden risk from schema changes or remote behavior changes.

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

// download

Download SKILL.mdInstall manifest ↗

// docs

Giphy Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/giphy

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["giphy"]
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 Giphy-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `giphy`
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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