securitytrails-automation

by ComposioHQ

securitytrails-automation helps Claude run SecurityTrails workflows through Composio Rube MCP. It guides agents to search current tool schemas, verify an active SecurityTrails connection, and perform read-only domain, DNS, infrastructure, and threat intelligence enrichment tasks with less guesswork.

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AddedJul 12, 2026

CategoryThreat Intelligence

Install Command

npx skills add ComposioHQ/awesome-claude-skills --skill securitytrails-automation

Curation Score

This skill scores 68/100, which means it is acceptable for listing but should be presented as a lightweight MCP workflow guide rather than a complete automation package. Directory users get enough evidence to understand when to install it—Securitytrails tasks through Composio/Rube MCP—but should expect to rely on live tool discovery for the actual schemas and task execution details.

68/100

Strengths

Valid frontmatter clearly names the skill, describes Securitytrails automation, and declares the required `rube` MCP dependency.
Prerequisites and setup steps explain that Rube MCP must be connected, `RUBE_MANAGE_CONNECTIONS` should be used for the `securitytrails` toolkit, and connection status must be ACTIVE before workflows.
The repeated instruction to call `RUBE_SEARCH_TOOLS` first gives agents a practical execution pattern for obtaining current schemas and avoiding stale tool assumptions.

Cautions

No support files, scripts, references, README, or install command are present beyond the single SKILL.md, so adoption depends on users already knowing how to add and use Rube MCP.
Operational detail is intentionally deferred to `RUBE_SEARCH_TOOLS`; the skill does not include stable Securitytrails tool schemas or concrete end-to-end examples in the repository evidence.

MCP MCP Tools Rube Composio Osint Reconnaissance Passive Dns

Overview

Overview of securitytrails-automation skill

What securitytrails-automation does

securitytrails-automation is a Claude skill for running SecurityTrails-related workflows through Composio’s Rube MCP server. Instead of hardcoding SecurityTrails API calls, the skill instructs the agent to discover the current Composio tool schema first, verify an active SecurityTrails connection, and then execute the relevant Rube MCP tools.

This is most useful when you want an AI agent to help with domain, DNS, infrastructure, or enrichment tasks where SecurityTrails is one of the data sources. The core job-to-be-done is reducing guesswork: the agent should not invent tool names or stale parameters; it should call RUBE_SEARCH_TOOLS before attempting any SecurityTrails operation.

Best fit for Threat Intelligence workflows

The strongest fit is securitytrails-automation for Threat Intelligence, security research, attack surface review, domain investigation, and enrichment workflows where you need repeatable SecurityTrails access from an AI client. Typical use cases include asking for available SecurityTrails actions, looking up domain-related records, enriching indicators, and building a short investigative plan before execution.

It is not a full threat intelligence platform by itself. It is a routing and workflow skill that helps Claude use the SecurityTrails toolkit exposed by Composio through Rube MCP.

Key adoption requirements

Before installing or relying on this skill, confirm three things:

Your AI client supports MCP servers.
Rube MCP is configured with https://rube.app/mcp.
You can create or manage a SecurityTrails connection through RUBE_MANAGE_CONNECTIONS using the securitytrails toolkit.

The repository for this skill is intentionally small: the main file is SKILL.md, with no bundled scripts, references, or helper resources. That makes it easy to inspect, but it also means your results depend heavily on live Rube tool discovery and the quality of your prompt.

How to Use securitytrails-automation skill

securitytrails-automation install context

Install the skill from the ComposioHQ skill collection:

npx skills add ComposioHQ/awesome-claude-skills --skill securitytrails-automation

Then inspect the source file:

composio-skills/securitytrails-automation/SKILL.md

The important setup instruction is not a local dependency install; it is MCP configuration. Add https://rube.app/mcp as an MCP server in your client. After that, verify that RUBE_SEARCH_TOOLS is available. Use RUBE_MANAGE_CONNECTIONS with toolkit securitytrails and complete any returned authorization flow until the connection status is ACTIVE.

Inputs the skill needs

A weak prompt says: “Use SecurityTrails to investigate this domain.” A stronger prompt gives the agent enough context to discover the correct tools and choose safe actions:

Target: domain, subdomain, IP, company, or indicator set.
Goal: DNS history, subdomain discovery, infrastructure mapping, enrichment, or triage.
Constraints: read-only lookup, no scanning, no external contacting, timebox, output format.
Evidence standard: cite tool outputs, separate findings from assumptions.
Desired result: table, timeline, IOC list, executive summary, or next-step plan.

Example prompt:

“Use the securitytrails-automation skill via Rube MCP for a read-only investigation of example.com. First call RUBE_SEARCH_TOOLS for current SecurityTrails tool schemas. Confirm the SecurityTrails connection is active. Then identify the best available tools for DNS, subdomain, and historical record lookup. Return a concise table of findings, note any schema limitations, and do not infer ownership without evidence.”

Practical securitytrails-automation usage flow

A reliable workflow is:

Ask the agent to call RUBE_SEARCH_TOOLS with your specific SecurityTrails use case.
Review the returned tool slugs, schemas, execution plans, and pitfalls.
Confirm the SecurityTrails connection with RUBE_MANAGE_CONNECTIONS.
Run one narrow lookup first, not a broad multi-step investigation.
Ask the agent to summarize raw outputs separately from interpretation.
Iterate with follow-up lookups only where the first result justifies it.

This matters because Composio tool schemas can change. The skill’s instruction to search tools first is its main quality control mechanism.

Repository files to read first

Start with SKILL.md; it contains the entire operational guidance. There is no README.md, metadata.json, rules/, resources/, references/, or scripts/ directory in the current skill folder. The most important sections to inspect are Prerequisites, Setup, Tool Discovery, and Core Workflow Pattern.

Also open the linked toolkit documentation at https://composio.dev/toolkits/securitytrails if you need to understand the broader SecurityTrails actions exposed through Composio.

securitytrails-automation skill FAQ

Is securitytrails-automation useful without Rube MCP?

No. The skill requires Rube MCP and depends on MCP tools such as RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. Without those, it becomes a prompt template rather than an executable automation workflow.

How is this better than an ordinary prompt?

An ordinary prompt may cause the agent to guess tool names, parameters, or API behavior. The securitytrails-automation skill explicitly tells the agent to discover the current tool schema first, then use the active SecurityTrails connection. That makes it better for live tool use, especially when schemas or available actions change.

Is it beginner-friendly?

It is beginner-friendly if you already know how to configure MCP in your AI client. The SecurityTrails workflow itself is guided, but the blocker for new users is usually MCP setup and connection authorization, not the skill text.

When should I not use it?

Do not use it when you need offline analysis, a self-contained SecurityTrails API wrapper, bulk data processing scripts, or a complete SOC workflow. It also should not be treated as authorization to perform intrusive activity. Keep prompts explicit about read-only investigation, permitted targets, and evidence handling.

How to Improve securitytrails-automation skill

Improve securitytrails-automation inputs

The fastest way to improve results is to replace broad investigation requests with constrained tasks. Include target identifiers, acceptable data sources, required output format, and what the agent should not do.

Better input:

“Investigate example.org for read-only DNS and subdomain context using SecurityTrails via Rube MCP. Search tools first, use only active SecurityTrails tools, return observed records with timestamps where available, and mark unknowns instead of guessing.”

This gives the agent a clear discovery path and reduces hallucinated conclusions.

Avoid common failure modes

Common issues include skipping RUBE_SEARCH_TOOLS, using stale tool assumptions, continuing when the SecurityTrails connection is not active, and mixing tool output with speculation. To prevent this, ask the agent to show the selected tool slug and required fields before execution when the task is sensitive or high-impact.

For threat intelligence work, also require confidence labels such as “observed,” “inferred,” and “unverified.” That makes the final report easier to audit.

Iterate after the first output

After the first lookup, do not immediately ask for “everything.” Instead, refine based on what was actually returned:

If subdomains are found, ask for grouping by pattern or infrastructure clue.
If DNS history is available, ask for changes over time.
If results are sparse, ask what additional SecurityTrails tool would be most appropriate.
If output is too verbose, request a table with only source, record type, value, first seen, last seen, and relevance.

This keeps securitytrails-automation focused on evidence-driven enrichment rather than generic security commentary.

Add local operating rules if needed

Because the upstream skill has no separate rules or reference files, teams with strict processes may want to add local guidance in their own environment. Useful additions include approved target scopes, report templates, data retention rules, naming conventions for investigations, and escalation criteria for suspicious infrastructure. These additions make the skill safer and more consistent without changing its core Rube MCP workflow.

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