Systematic Debugging
CheckedSystematically identifies and resolves software bugs using automated analysis and targeted test case generation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add lifangda/claude-plugins --skill systematic-debugging -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
lifangda
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.
Automated safety checks
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 lifangda/claude-plugins at 76d90e8304.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 76d90e8304
- Scanned
- 6 files, 619 lines
About this skill
What it does
This skill systematically debugs code, identifying potential issues and suggesting fixes. It can analyze provided code snippets or entire files to pinpoint errors related to logic, syntax, and common pitfalls. The debugging process is designed to be thorough and provide actionable insights for improving code quality.
When to use it
- Troubleshooting complex code: Use this skill when facing difficult-to-diagnose bugs in a program.
- Code review assistance: Employ the skill to automatically identify potential issues during code reviews, saving time and ensuring higher quality.
- Learning from mistakes: Leverage its analysis to understand common coding errors and improve programming skills.
- Automated testing support: Integrate it into automated testing workflows to proactively catch bugs before deployment.
Key capabilities
- Code analysis
- Error identification
- Suggestion of fixes
- Logic error detection
- Syntax error detection
Example prompts
- "Debug this Python code: [paste code snippet]"
- "Analyze this JavaScript file for potential errors: [file path]"
- "Can you find any logical flaws in this function? [paste function definition]"
Tips & gotchas
The skill's effectiveness depends on the clarity and completeness of the provided code. Ensure that all necessary context and dependencies are included for accurate debugging.