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Systematic Debugging

Checked
freenet·vlatest·testing·LGPL-3.0

Systematically identifies and reports Freenet network issues through automated probing and analysis of routing data.

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 freenet/freenet-agent-skills --skill systematic-debugging -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

freenet

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 freenet/freenet-agent-skills at e3f2f96aa6.

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

Commit
e3f2f96aa6
Manifest
skills/systematic-debugging/SKILL.md
Scanned
2 files, 580 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 systematically debug code, identifying and isolating errors through a structured process. It facilitates the creation of test cases based on error messages and then executes those tests to pinpoint the root cause of issues. The agent can also generate fixes or suggest modifications based on debugging results.

When to use it

  • When an AI agent is generating incorrect code that needs to be corrected.
  • To diagnose errors in existing codebases where the source of the problem isn't immediately obvious.
  • For automated testing and ensuring code quality during development cycles.
  • To help non-expert users understand and resolve coding issues by providing clear explanations and potential solutions.

Key capabilities

  • Test case generation based on error messages
  • Execution of generated test cases
  • Identification of root causes of errors
  • Suggestion of fixes or code modifications

Example prompts

  • "Debug this Python code: [code snippet] - I'm getting a TypeError."
  • "Generate tests for the following JavaScript function to ensure it handles edge cases correctly: [function definition]"
  • "I’m seeing an IndexError in my program. Can you help me find out why?"

Tips & gotchas

The skill relies on clear and informative error messages; vague or incomplete errors may hinder its effectiveness. Providing context about the code's purpose can also improve debugging accuracy.