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code-quality

Open source alternatives to code-quality

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About code-quality

C

code-quality

General Correctness rules, Rust patterns, comments, avoiding over-engineering

Code quality is an agent skill with the correctness rules and Rust conventions that the Turso database project expects in its code. Its core principle is that Turso is a production database, where correctness comes first and a crash is preferable to corruption. The correctness rules say to avoid workarounds and quick hacks, to handle every error, to check invariants and to assert often. The skill says never to fail silently or swallow edge cases, and to stop on an invalid state when continuing would risk data integrity rather than run in an undefined state. It asks the coder to consider edge cases, on the reasoning that every possible bug will eventually happen on a long enough timeline. The Rust section favors making illegal states unrepresentable, exhaustive pattern matching, and enums over strings or sentinel values. It also asks for minimal heap allocation and CPU-friendly code, since a microsecond is a long time in a database engine. The skill is listed on skills.sh under the Turso repository and is meant to be applied whenever code is written for that project. Its audit results are Gen Agent Trust Hub: Pass, Socket: Pass and Snyk: Pass.

View code-qualityAll AI Skills apps
Price
Free
Made by
tursodatabase
Category
AI Skills
Website
github.com/tursodatabase/turso/code-quality