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testing

Open source alternatives to testing

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 testing

T

testing

How to write tests, when to use each type of test, and how to run them

Testing is an agent skill that explains how to write and run tests for the Turso database. It sets out the four test types and when to use each. The .sqltest suites in sqlite/conformance are the preferred place for new SQL compatibility tests, and they let the same cases run against several backends, such as the command-line tool and the Rust bindings. The legacy TCL tests in the testing directory cover older SQL compatibility and are being phased out. Rust integration tests in tests/integration are for regression tests and complex scenarios, and the fuzz tests in tests/fuzz are for complex features and edge case discovery. The skill also covers converting old .test files to .sqltest, and how to write new cases. To run the main suite, which includes the TCL compatibility tests, the sqlite3 compatibility tests and the Python wrappers, use the make test target. The skill is aimed at contributors who need to know which kind of test fits a change and where it belongs. It is listed on skills.sh under the Turso repository. Its audit results are Gen Agent Trust Hub: Pass, Socket: Pass and Snyk: Pass.

Price
Free
Made by
tursodatabase
Category
AI Skills
Website
github.com/tursodatabase/turso/testing