Automate Loomio collaboration workflows and discussion tasks through Rube MCP.
This skill appears to be an open-source, prompt-only wrapper with no declared local code execution, environment secrets, or direct built-in endpoints, so the overall risk is low. The main consideration is that it directs users to connect a third-party Rube MCP server and authorize Loomio access, which introduces normal external-service and third-party data handling considerations.
The material states there are no local API keys or environment variables, but it requires an active Loomio connection via `RUBE_MANAGE_CONNECTIONS` and an auth link, implying third-party managed connection credentials. No explicit credential-abuse red flags are shown, but this should be treated as normal third-party OAuth/connector exposure.
The README explicitly requires adding the remote MCP endpoint `https://rube.app/mcp` and using Composio/Rube to execute Loomio tool calls; user inputs and Loomio operation data may therefore transit through that third-party service. This egress is consistent with the stated functionality and is a normal integration behavior rather than a standalone high-risk red flag.
Based on the objective checks, this is a prompt-only skill, and the material does not declare local script execution, process spawning, shell access, or system-level permission requests. Its role is to guide use of existing MCP tools rather than execute code by itself.
It does not claim local file reads or access to sensitive host directories, but once Loomio is connected, related discussion/group/workflow data may be accessed or modified within the toolkit’s capabilities. The material does not show overbroad access beyond Loomio automation, but the connected account should still be scoped minimally.
The source is an open GitHub repository with strong community signals (64.7k stars), which supports auditability and lowers risk; the visible content looks more like skill documentation than an executable binary. The missing license declaration and unknown maintenance status are worth noting, but without other red flags they do not justify a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "loomio-automation" skill from askskill: 1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/loomio-automation/SKILL.md 2. Save it as ~/.claude/skills/loomio-automation/SKILL.md 3. Reload skills and tell me it's ready
Automate Loomio operations through Composio's Loomio toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/loomio
RUBE_MANAGE_CONNECTIONS with toolkit loomioRUBE_SEARCH_TOOLS first to get current tool schemasGet 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.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit loomioAlways discover available tools before executing workflows:
RUBE_SEARCH_TOOLS
queries: [{use_case: "Loomio operations", known_fields: ""}]
session: {generate_id: true}
This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.
RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Loomio task"}]
session: {id: "existing_session_id"}
RUBE_MANAGE_CONNECTIONS
toolkits: ["loomio"]
session_id: "your_session_id"
RUBE_MULTI_EXECUTE_TOOL
tools: [{
tool_slug: "TOOL_SLUG_FROM_SEARCH",
arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"
RUBE_SEARCH_TOOLSRUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing toolsmemory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with Loomio-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit loomio |
| 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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