Test that there are no empty code cells (warning only).

Test that no cells have error outputs.

Test that no cells contain hardcoded API keys.

Test that the notebook executes without errors.

Test that valid memory paths are accepted.

Test that .. traversal is blocked.

Test that URL-encoded traversal is blocked.

Test that paths must start with /memories.

Test that pip install commands appear early in the notebook.

Test that the notebook uses a Python kernel.

Test rename when destination already exists.

Test renaming a file.

Test rename when source doesn't exist.

Test moving a file to a subdirectory.

Test a custom skill with a prompt. Args: client: Anthropic client instance skill_id: ID of skill to test test_prompt

Test replacement on nonexistent file.

Test that replacement fails with multiple occurrences.

Test replacement when string doesn't exist.

Test successful string replacement.

Test handling of unknown command.

Test that all cells have valid cell types.

Test that the notebook is valid JSON.

Test viewing a directory with files.

Test viewing an empty /memories directory.

Test viewing a file with line numbers.

Test viewing specific line range.

Test viewing a nonexistent path.

Perform two-way sensitivity analysis. Args: var1_name: First variable name var1_base: First variable base va

Validate that colors match brand guidelines. Args: colors_used: List of color codes used in document Returns:

Validate a skill directory structure before upload. Checks for: - SKILL.md exists - YAML frontmatter is valid - Directory name m

Fixture providing validation result for a notebook.

Create a clean, professional visualization of the agent conversation. Auto-detects environment: - Jupyter notebooks: Renders styled HTML