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Manufacturing Intelligence

Checked
simhacker·vlatest·other·MIT

Manufacturing Intelligence analyzes production data to optimize processes, predict equipment failures, and boost efficiency – vital for smart factories.

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 simhacker/moollm --skill manufacturing-intelligence -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

simhacker

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

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned simhacker/moollm at 8f6d840b2f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
8f6d840b2f
Manifest
skills/manufacturing-intelligence/SKILL.md
Scanned
1 file, 237 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 access to manufacturing intelligence capabilities. It allows users to analyze production data, identify bottlenecks, and optimize processes within a manufacturing environment. The tool can also generate reports on key performance indicators (KPIs) related to efficiency and quality control.

When to use it

  • Troubleshooting Production Issues: Investigate sudden drops in output or increases in defect rates by analyzing real-time data streams.
  • Predictive Maintenance: Identify equipment at risk of failure based on historical usage patterns and sensor readings.
  • Process Optimization: Analyze workflow steps to pinpoint areas for improvement and increased efficiency.
  • Quality Control Analysis: Evaluate quality control metrics and identify root causes of defects.

Key capabilities

  • Data analysis of manufacturing processes
  • Bottleneck identification
  • KPI reporting
  • Predictive maintenance insights
  • Workflow optimization suggestions

Example prompts

  • "Analyze the production data from line 3 for the last week and highlight any anomalies."
  • "What are the top three factors contributing to defects on the assembly line?"
  • "Generate a report showing overall equipment effectiveness (OEE) for each machine in the factory this month."

Tips & gotchas

The skill requires access to manufacturing data streams and potentially historical records. Ensure proper permissions and data connectivity are established before use.