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Dependency Tracking

Checked
aj-geddes·vlatest·backend·MIT

This skill tracks dependencies between tasks, ensuring smooth workflows and preventing errors by visualizing relationships within projects.

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 aj-geddes/useful-ai-prompts --skill dependency-tracking -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/dependency-tracking/SKILL.md
Scanned
6 files, 430 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 enables AI agents to systematically identify, monitor, and manage software dependencies within codebases. It ensures that all external libraries and packages are accurately tracked to maintain project integrity and security.

When to use it

  • Auditing a legacy codebase to uncover outdated or unmaintained third-party packages.
  • Preparing for a deployment by verifying that all required dependencies are up to date and compatible.
  • Generating comprehensive reports on library usage across multiple microservices.
  • Identifying potential security vulnerabilities associated with specific dependency versions.

Key capabilities

  • Automatic discovery of direct and transitive dependencies in various project structures.
  • Version analysis to detect drift from intended or secure package versions.
  • Context-aware reporting tailored to the specific technology stack (e.g., Node.js, Python, Java).
  • Integration with existing development workflows for continuous dependency monitoring.

Example prompts

  • "Scan my current project directory and list all installed npm packages along with their latest available versions."
  • "Analyze the requirements.txt file to identify any dependencies that have known security vulnerabilities."
  • "Generate a summary of external libraries used in this codebase and flag any that are no longer actively maintained."

Tips & gotchas

Ensure the AI agent has read access to the project's root directory or specific configuration files (like package.json or pom.xml) to perform an accurate scan. This skill is most effective when paired with security scanning tools for immediate vulnerability remediation.