huang-sh/deepscience/scientific-result-packaging
Claude Code and agent skill by huang-sh/deepscience
- community
Checking that the SKILL.md file is still in the repository.
Package agent-generated scientific code, figures, tables, data, logs, and conclusions into a navigable workspace result with stable paths and a concise manifest. Use near the end of computational tasks.
Install
npx vskill@latest install huang-sh/deepscience/scientific-result-packagingSKILL.md
Scientific Result Packaging
Use this workflow after analysis to make results easy to inspect in the DeepScience workspace.
Recommended Layout
Adapt the layout to the project instead of creating duplicate directory trees.
Workflow
- Identify the final code, figures, tables, derived data, logs, and narrative conclusions.
- Use descriptive, stable filenames. Avoid names such as
final2,new, ortest. - Keep raw inputs separate from derived outputs.
- Write a
README.mdexplaining the question, execution entry point, environment, outputs, and known limitations. - Write
manifest.jsonwith each artifact's relative path, type, description, originating step, and creation time when known. - Verify every path in the README and manifest exists.
- Mention the most important workspace paths in the final response so the UI can render or link them.
Do not move or overwrite user files merely to enforce this layout. Package only files created or intentionally updated by the current task.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingpackages/science/skills/physics/scientific-result-packaging/SKILL.md
Popularity
- Repository stars
- 4
- 7-day trend score
- 13
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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