Core Coding Standards
CheckedEnforces consistent code style & best practices across projects, improving readability and maintainability for developers.
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 ravnhq/ai-toolkit --skill core-coding-standards -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
ravnhq
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 ravnhq/ai-toolkit at e6237ae66e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e6237ae66e
- Scanned
- 8 files, 388 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill equips AI agents with a foundational understanding of industry-standard coding practices, enabling them to write clean, maintainable, and secure software. It allows agents to adhere to established conventions regarding variable naming, code structure, and best practices across various programming languages.
When to use it
- Generating new code modules that align with your team's existing style guides.
- Refactoring legacy scripts to improve readability and reduce technical debt.
- Ensuring security compliance by following standard vulnerability mitigation patterns.
- Onboarding new developers by providing code examples that match organizational norms.
Key capabilities
- Adherence to industry-standard coding conventions.
- Generation of clean, maintainable, and readable code.
- Implementation of best practices for software architecture.
- Support for multiple programming languages with standard syntax.
Example prompts
- "Generate a Python function to parse JSON data following PEP 8 standards."
- "Refactor this legacy JavaScript snippet to use modern ES6+ conventions and improve readability."
- "Write a secure SQL query that follows best practices for preventing injection attacks."
Tips & gotchas
Ensure your AI agent has access to specific style guides (like PEP 8 or Google Style) if you require strict adherence beyond general industry standards. While this skill promotes standard practices, it may not automatically know project-specific internal conventions unless explicitly provided in the context.