Ast Analyzer
CheckedThe Ast Analyzer skill dissects astrological charts to reveal planetary placements and their potential influences for deeper self-understanding.
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 bejranonda/llm-autonomous-agent-plugin-for-claude --skill ast-analyzer -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
bejranonda
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 bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d7c47f644e
- Manifest
- skills/ast-analyzer/SKILL.md
- Scanned
- 1 file, 679 lines
About this skill
What it does
The ast-analyzer skill analyzes Python code using the Abstract Syntax Tree (AST). It can identify potential errors, stylistic issues, and complexity metrics within a given codebase. This allows for automated code review and improved software quality through static analysis techniques.
When to use it
- Code Review: Automatically check Python code for common mistakes or style violations before merging changes.
- Complexity Analysis: Determine the cyclomatic complexity of functions or modules to identify areas needing refactoring.
- Error Detection: Identify potential runtime errors by analyzing the AST structure and identifying problematic patterns.
- Educational Tooling: Help learners understand code structure and common pitfalls in Python programming.
Key capabilities
- AST parsing of Python code
- Identification of code complexity metrics (e.g., cyclomatic complexity)
- Detection of potential errors and stylistic issues
- Code review automation
Example prompts
- "Analyze this Python code for style violations: [code snippet]"
- "What is the cyclomatic complexity of this function? [function definition]"
- "Check this file for common Python errors: [file path]"
Tips & gotchas
The skill requires access to a valid Python interpreter and AST parsing libraries. Be aware that complex codebases can take significant time to analyze, impacting agent execution speed.