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Data Flow

Checked
simhacker·vlatest·other·MIT

Visualize and trace data movement within systems to identify bottlenecks, dependencies, and potential vulnerabilities.

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 data-flow -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/data-flow/SKILL.md
Scanned
1 file, 140 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 allows AI agents to understand and reason about data flow diagrams. It can interpret these diagrams, identify potential bottlenecks or inefficiencies, and suggest improvements based on the visualized process. The agent can also generate textual descriptions of complex data flows from visual representations.

When to use it

  • Analyzing existing business processes represented as data flow diagrams to find areas for optimization.
  • Understanding a software system’s architecture by interpreting its data flow diagram.
  • Generating documentation or explanations of complex systems based on their data flow representation.
  • Troubleshooting issues in a process by visually identifying where data is being lost or delayed.

Key capabilities

  • Data Flow Diagram Interpretation
  • Bottleneck Identification
  • Improvement Suggestion
  • Textual Description Generation

Example prompts

  • "Describe the data flow in this diagram." (followed by providing the image)
  • "What are the potential bottlenecks in this process?" (followed by providing the image)
  • “Suggest improvements to streamline this data flow.” (followed by providing the image)

Tips & gotchas

The agent’s accuracy depends heavily on the clarity and completeness of the provided data flow diagram. Ensure the diagram is well-defined and uses standard notation for optimal results.