Add support for a new curve data format in the Curves package converter system
中文简介正在准备中。当前显示原文说明。
datagrok-ai/public742026年10月22日 更新
免费在 GitHub 公开
test-package
Run grok test for Datagrok packages and report results
中文简介正在准备中。当前显示原文说明。
查看安装方法包含的文件（1）
- SKILL.md1.5 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Test Package
Run grok test for one or more Datagrok packages and provide a summary of results.
Instructions
-
Parse the user's input to extract:
- One or more package names (required). These are directory names under
public/packages/. --hostvalue (default:localhost)- Use
--csvflag to get csv output - Check if npm install is needed
- Check if package needs to be rebuilt. Compare /dist/*.js timestamp with the most recent timestamp in *.ts or *.js file in the package. If dist folder is newer, use --skip-build
- Any extra
grok testflags (--category,--test,--verbose,--skip-build,--gui,--no-retry,--benchmark,--tag)
- One or more package names (required). These are directory names under
-
For each package, run tests from the package directory using the Bash tool:
cd /c/Repos/Datagrok/public/packages/<PackageName> && node grok test --host <host> --no-retry [extra flags]Use a timeout of 600000ms (10 minutes). Print output to console.
-
After all packages finish, provide a summary table with:
- Package name
- Total passed / failed / skipped counts (parse csv output file test-results.csv)
- List of any failed categories and test names
- Overall verdict: PASSED or FAILED
-
Cleanup csv output file
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中文简介正在准备中。当前显示原文说明。
datagrok-ai/public742026年10月22日 更新
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datagrok-ai/public742026年10月22日 更新
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中文简介正在准备中。当前显示原文说明。
datagrok-ai/public742026年10月22日 更新
Translate hand-written Playwright specs (or any existing UI tests) into Gherkin features on @datagrok-libraries/bdd, then prove the features test what they claim by backward-matching them against the originals with independent reviewers, and fix the gaps in the core, the library and the features
中文简介正在准备中。当前显示原文说明。
datagrok-ai/public742026年10月22日 更新