fraudlabs-pro-automation
by ComposioHQfraudlabs-pro-automation helps Claude automate FraudLabs Pro workflows through Composio Rube MCP, with connection checks and RUBE_SEARCH_TOOLS schema discovery before execution.
This skill scores 64/100, which means it is acceptable for listing but should be presented as a lightweight connector-oriented skill rather than a full Fraudlabs Pro playbook. Directory users get enough information to know it requires Rube MCP and an active Fraudlabs Pro connection, and agents get a usable discovery-first execution pattern, but install decision confidence is limited by the absence of support files, concrete examples, and deeper Fraudlabs-specific workflow guidance.
- Valid skill frontmatter with a clear trigger: automate Fraudlabs Pro tasks through Composio/Rube MCP.
- Prerequisites and setup steps identify the required Rube MCP connection, Fraudlabs Pro connection status, and use of `RUBE_MANAGE_CONNECTIONS`.
- The skill explicitly instructs agents to call `RUBE_SEARCH_TOOLS` first so they can retrieve current tool schemas before execution.
- No support files, scripts, README, or install command are present; adoption depends on already knowing how to add and use the Rube MCP endpoint.
- The guidance appears mostly as a generic Rube MCP discovery/execution pattern, with limited evidence of Fraudlabs Pro-specific workflows, examples, or edge-case handling.
Overview of fraudlabs-pro-automation skill
What fraudlabs-pro-automation does
fraudlabs-pro-automation is a Claude skill for running FraudLabs Pro workflows through Composio’s Rube MCP server. It is designed to help an agent discover the current FraudLabs Pro tool schema, verify the user’s connection, and execute fraud-screening or account-management tasks without guessing tool names or parameters.
Best fit for Workflow Automation teams
This fraudlabs-pro-automation skill is most useful for teams already using Claude with MCP and wanting to automate FraudLabs Pro steps inside a broader Workflow Automation process. Typical users include ecommerce operators, fraud analysts, support teams, and developers who need an AI agent to check order risk, look up fraud-related data, or coordinate FraudLabs Pro actions from natural-language instructions.
What makes this skill different
The key value is not a long built-in playbook; it is the enforced workflow pattern: connect Rube MCP, confirm the fraudlabs_pro toolkit connection, call RUBE_SEARCH_TOOLS first, then use the returned schema and execution guidance. That matters because Composio tool schemas can change, and a generic prompt may hallucinate stale fields or unsupported actions.
Important adoption requirement
This skill depends on Rube MCP. You need RUBE_SEARCH_TOOLS available and an active FraudLabs Pro connection through RUBE_MANAGE_CONNECTIONS using toolkit fraudlabs_pro. If your environment cannot use MCP tools, or you only need static FraudLabs Pro API documentation, this skill is not the right install.
How to Use fraudlabs-pro-automation skill
fraudlabs-pro-automation install and setup path
Install the skill in your Claude skills environment, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill fraudlabs-pro-automation
Then add Rube MCP to your client configuration using:
https://rube.app/mcp
Before asking for real work, verify that RUBE_SEARCH_TOOLS responds. Next, use RUBE_MANAGE_CONNECTIONS with toolkit fraudlabs_pro. If the returned status is not ACTIVE, complete the auth flow from the returned link and re-check the connection before running any workflow.
Inputs the skill needs from you
For reliable fraudlabs-pro-automation usage, give the agent the business task, the available identifiers, and the desired outcome. Useful inputs may include order ID, transaction ID, IP address, email, phone, billing/shipping country, payment signal, customer account ID, or the exact FraudLabs Pro record you want to inspect. Do not assume the skill knows your internal field names; map them clearly.
Weak prompt:
Check this order for fraud.
Stronger prompt:
Use fraudlabs-pro-automation. First discover the current FraudLabs Pro tools. I need a fraud review for order
ORD-10482. Available fields: email[email protected], IP203.0.113.10, phone+1555010101, billing countryUS, shipping countryUS, order amount149.95, currencyUSD. Tell me which FraudLabs Pro tool you selected, which required fields were missing, the result, and whether this should be escalated for manual review.
Practical workflow to follow
Start every session with tool discovery:
RUBE_SEARCH_TOOLS
Use a query like:
FraudLabs Pro fraud screening for ecommerce order risk review
Keep the returned session ID when available, then execute the discovered tool with the schema returned by Rube. Ask the agent to show a short execution plan before making changes or triggering actions. For read-only checks, request a concise risk summary. For any action that changes a record, require confirmation before execution.
Repository files to read first
The repository is intentionally compact. Start with composio-skills/fraudlabs-pro-automation/SKILL.md; it contains the prerequisites, setup sequence, tool discovery rule, and core workflow pattern. There are no extra scripts/, references/, resources/, or rules/ folders in the current file tree, so the SKILL.md is the operational source of truth. For live tool details, use the linked Composio toolkit docs and RUBE_SEARCH_TOOLS, not cached assumptions.
fraudlabs-pro-automation skill FAQ
Is fraudlabs-pro-automation better than an ordinary prompt?
Yes, if you are actually using Rube MCP and Composio. An ordinary prompt can describe a FraudLabs Pro task, but it will not automatically enforce connection checks or current schema discovery. This skill’s main advantage is reducing failed tool calls caused by stale field names, missing auth, or guessed tool slugs.
Can beginners use this skill?
Beginners can use it if they are comfortable adding an MCP server and completing an OAuth-style connection flow. The fraud analysis side can be simple, but the integration side still requires a Claude client that supports MCP, a working Rube endpoint, and access to a FraudLabs Pro account through Composio.
What should I not use it for?
Do not use this skill as a replacement for your fraud policy, chargeback process, or compliance review. It can help automate FraudLabs Pro operations, but it should not be the only decision-maker for high-value orders, account bans, refunds, or legally sensitive risk decisions. Also avoid it when you need offline analysis with no external tool calls.
Does it support every FraudLabs Pro feature?
The skill does not hard-code a complete feature list. It instructs the agent to discover the currently available Composio FraudLabs Pro tools at runtime. That is a benefit for schema freshness, but it also means the available actions depend on Composio’s toolkit coverage and your active connection.
How to Improve fraudlabs-pro-automation skill
Improve prompts with task, data, and decision criteria
The best way to improve fraudlabs-pro-automation results is to provide complete context up front. Include the transaction fields you have, what you want the agent to decide, and the output format you need. For example: “return risk signals, missing fields, recommended next step, and whether manual review is required.” This prevents the agent from treating a fraud lookup as a vague research task.
Reduce failures by forcing schema discovery
A common failure mode is skipping RUBE_SEARCH_TOOLS and calling a guessed tool with invalid parameters. In your prompt, explicitly say: “Always run RUBE_SEARCH_TOOLS first and use only the returned schema.” This is especially important when building repeatable Workflow Automation chains where one malformed tool call can break the whole run.
Add human approval for risky actions
If the discovered FraudLabs Pro tools include actions that update, approve, reject, or otherwise modify records, add an approval checkpoint. A good instruction is: “For any non-read-only action, summarize the intended action, target record, and reason, then wait for confirmation.” This keeps automation fast while reducing accidental operational mistakes.
Iterate after the first output
After the first run, improve the next prompt with what was missing: additional order fields, acceptable risk thresholds, internal escalation rules, or preferred summary format. If the result is too broad, ask for a narrower output such as “only fields used, FraudLabs Pro response, risk interpretation, and next action.” If it fails, capture the returned tool error and ask the agent to re-run discovery before retrying.