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Cmdb Patterns

Checked
groeimetai·vlatest·devops·Apache-2.0

Identifies recurring IT infrastructure patterns within your CMDB to streamline deployments and optimize resource allocation.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add serac-labs/serac --skill cmdb-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

groeimetai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned groeimetai/snow-flow at af3ad2b3c0.

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Commit
af3ad2b3c0
Manifest
packages/skills/cmdb-patterns/SKILL.md
Scanned
1 file, 444 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides a library of patterns specifically designed to help AI agents interact with and query Configuration Management Databases (CMDB). It enables agents to understand complex IT infrastructure relationships, retrieve asset data, and execute standard CMDB operations effectively.

When to use it

  • Automating the discovery of dependencies between software applications and underlying hardware or network resources.
  • Generating dynamic reports on asset lifecycle status, such as identifying servers nearing end-of-life.
  • Validating configuration changes against baseline standards before deployment to prevent drift.
  • Resolving complex incident root causes by tracing connections across multiple interconnected IT components.

Key capabilities

  • Pattern-based querying for structured CMDB data retrieval.
  • Navigation of hierarchical asset relationships and dependency graphs.
  • Standardized interaction protocols for common CMDB schemas.
  • Context-aware response generation based on infrastructure topology.

Example prompts

  • "List all production servers that are dependent on the primary database cluster in our CMDB."
  • "Retrieve the current configuration baseline for the network segment labeled 'Finance-DMZ'."
  • "Identify any assets in the inventory that have not been updated or scanned in the last 90 days."

Tips & gotchas

Ensure your AI agent has read-only access to the specific CMDB instance before running discovery queries to avoid unintended write operations. Always validate the returned asset data against your organization's actual documentation, as CMDB records can become stale over time.