Release Evidence Workflow
Ali-Marandi/ClimateDataAnalyzer
Build an auditable release-evidence workflow for a desktop or packaged application.
Convert a jupytext percent %% Python file into an executed .ipynb with cell outputs.
Install Export ML Notebook
$ npx skills add probabl-ai/skills --skill export-ml-notebook -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install probabl-ai/skills export-ml-notebook --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/export-ml-notebook .claude/skills/export-ml-notebook && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "export-ml-notebook" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-notebook into .claude/skills/export-ml-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-notebook", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/probabl-ai/skills/tree/main/skills/export-ml-notebookType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add probabl-ai/skills --skill export-ml-notebook -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install probabl-ai/skills export-ml-notebook --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/export-ml-notebook .agents/skills/export-ml-notebook && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "export-ml-notebook" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-notebook into .agents/skills/export-ml-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-notebook", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add probabl-ai/skills --skill export-ml-notebook -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install probabl-ai/skills export-ml-notebook --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/export-ml-notebook .cursor/skills/export-ml-notebook && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "export-ml-notebook" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-notebook into .cursor/skills/export-ml-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-notebook", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/probabl-ai/skills.git --path skills/export-ml-notebook--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add probabl-ai/skills --skill export-ml-notebook -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install probabl-ai/skills export-ml-notebook --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/export-ml-notebook .gemini/skills/export-ml-notebook && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "export-ml-notebook" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-notebook into .gemini/skills/export-ml-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-notebook", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install probabl-ai/skills export-ml-notebookInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add probabl-ai/skills --skill export-ml-notebook -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/export-ml-notebook .github/skills/export-ml-notebook && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "export-ml-notebook" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-notebook into .github/skills/export-ml-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-notebook", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add probabl-ai/skills --skill export-ml-notebook -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install probabl-ai/skills export-ml-notebook --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/probabl-ai/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/export-ml-notebook .opencode/skills/export-ml-notebook && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "export-ml-notebook" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/export-ml-notebook into .opencode/skills/export-ml-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "export-ml-notebook", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
export-ml-notebook- GitHub stars
- 135
- Token cost
- ~1k tokens
- SKILL.md length
- 512 words
- Files
- 2
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
Convert a jupytext percent %% Python file into an executed .ipynb with cell outputs.
- Works in 5 steps: python -m skore_skills status. Read… → If policy.notebooks is null: persist → If policy.notebooks is false: say… → …
- Executed-report requests
- SKILL.md covers Human-facing prose, Sequence and Stop conditions
- Calls python, uv and git
What it does
Export ML Notebook is an agent skill from probabl-ai/skills. Convert a jupytext percent %% Python file into an executed .ipynb with cell outputs. Pass --html when the notebook should also become a viewer on the site. Trigger on notebook, ipynb, HTML, or executed-report requests, or when export-ml-project dispatches notebooks.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).
It sits in Data & Analytics, covering Jupyter notebooks. It works with Jupyter, Python and Matplotlib. The repository describes itself as: Tabular Data Science Skills for guardrailing AI Agents. The licence is BSD-3-Clause.
When your agent uses it
- Executed-report requests
- Export-ml-project dispatches notebooks
Example prompts
- “/export-ml-notebook”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- python -m skore_skills status. Read policy.notebooks and
- If policy.notebooks is null: persist
- If policy.notebooks is false: say executed notebooks are
- Convert the requested percent file (default data_analysis/data_analysis.py when
- After --html, if policy.site is true, export-ml-site
What it can do on your machine
Read from SKILL.md and the folder at commit 5edc7a4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pythonuvgit
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv and git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Export ML Notebook loads about 1k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 512 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from probabl-ai/skills at commit 5edc7a4, republished under its BSD-3-Clause licence (© probabl-ai). 512 words, ~1,016 tokens.
Download SKILL.mdSave it as
.claude/skills/export-ml-notebook/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- export-ml-notebook
- description
- Convert a jupytext percent `# %%` Python file into an executed `.ipynb` with cell outputs. Pass `--html` when the notebook should also become a viewer on the site. Trigger on notebook, ipynb, HTML, or executed-report requests, or when export-ml-project dispatches notebooks.
Export ML Notebook
Source of truth stays the # %% .py. This skill only writes
derived .ipynb (and optional .nb.html). Do not rewrite the
.py from the notebook. cells run is not a substitute.
Human-facing prose
Details: setup-workspace references/human_facing_prose.md.
Tell the user the written .ipynb (and HTML viewer) paths. Do
not quote notebook convert, --html, or site build as
something they should run.
While policy.notebooks is true, explore-ml-data converts the
analysis file it wrote. model-ml-pipeline and
evaluate-ml-pipeline convert the experiment script and, when
it exists, audit/<stem>.py. audit-ml-pipeline converts
audit/<stem>.py only on a direct close. This skill owns
on-demand conversions, other sources, and turning the flag on
when it is null or false.
Sequence
python -m skore_skills status. Readpolicy.notebooksandskills.If
policy.notebooksisnull: persistpython -m skore_skills policy set notebooks true. Do not AskUserQuestion. Then loadadd-python-packageforjupytext,nbclient, andipywidgets(agent) and continue.If
policy.notebooksis false: say executed notebooks are off; offer to turn them on. Do not convert until the policy is true.Convert the requested percent file (default
data_analysis/data_analysis.pywhen the user did not name one):bash python -m skore_skills notebook convert data_analysis/data_analysis.pyConvert injects
%matplotlib inlinefor the kernel run so seaborn / matplotlib last expressions emitimage/png, then strips that setup cell from the written notebook. Do not put%matplotlib inlinein the.py(style/ ruff would reject it).If convert fails because
ipywidgetsis missing, loadadd-python-packagefor it (agent) and convert again. Missingjupytext/nbclient/nbconvertstays a one-line skip.If the user wants the executed notebook on the site, load
add-python-packagefornbconvert(agent) and pass--html(writes a self-contained<stem>.nb.htmlnext to the.py). The site embeds that file in the associated exploratory data analysis or design report with open-separately and fullscreen controls.Optional
--out path.ipynb. Keep*.ipynbgitignored unless the user askssetup-gitto track them.Convert-only requests (executed notebook / ipynb / convert, no HTML or site viewer): run only that
notebook convertline, with no--html. Tell the user the written.ipynbpath. Do not mention--htmlorsite buildas an optional aside.After
--html, ifpolicy.siteis true,export-ml-site
Show full SKILL.md (162 more words)Show less
is installed, run python -m skore_skills site build so the
viewer is packaged. Run --html and site build only
when the user asked for HTML or a site viewer. Convert
without --html does not rebuild the site. Skip in one line
otherwise. If site build errors with mkdocs-material is required, load add-python-package for mkdocs-material
(agent) and build once more. Do not pixi add / uv add.
If that skill is missing, or the retry still fails, name the
error in one line. Name a build error; do not fail the
convert. Point the user at the HTML viewer / report.html,
not the CLI.
Stop conditions
- Do not
git commitorgit end-turn. - Do not run
cells runas a substitute for convert. - Do not
pixi add/uv add; loadadd-python-package. - Missing skill or missing source → one-line skip.
- Do not name
--htmlorpython -m skore_skills site buildunless the user asked for HTML or a site viewer. Tell the user paths, not the CLI.
© probabl-ai, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/export-ml-notebook of probabl-ai/skills.
- SKILL.md
- evals/evals.json
Open the folder on GitHubat commit 5edc7a4
Compare with similar skills
Export ML Notebook next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Export ML Notebook this skillprobabl-ai/skills | 135 | — | ~1k | Automated safety check: Pass | BSD-3-Clause | |
| Release Evidence WorkflowAli-Marandi/ClimateDataAnalyzer | 107 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Save Research Notebooknapjon/krisk | 118 | — | ~702 | Automated safety check: Pass | BSD-3-Clause | |
| Analytics Data AnalysisMindrally/skills | 267 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Jupyter Live KernelRedWoodOG/Hermes-Desktop | 177 | 5 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Jupyter Live Kerneltaracodlabs/aiden | 849 | — | ~949 | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Export ML Notebook
What does Export ML Notebook do?
Convert a jupytext percent %% Python file into an executed .ipynb with cell outputs. Export ML Notebook is an agent skill from probabl-ai/skills.ipynb with cell outputs.
When should I use Export ML Notebook?
Export ML Notebook fits situations like: executed-report requests; export-ml-project dispatches notebooks.
How do I install Export ML Notebook in Claude Code?
Run `npx skills add probabl-ai/skills --skill export-ml-notebook -a claude-code`. Or copy the skill folder (skills/export-ml-notebook in probabl-ai/skills) into .claude/skills/export-ml-notebook in your project. Claude Code loads it when a task matches its description.
How do I install Export ML Notebook in Codex?
Run `npx skills add probabl-ai/skills --skill export-ml-notebook -a codex`. Or copy the skill folder (skills/export-ml-notebook in probabl-ai/skills) into .agents/skills/export-ml-notebook in your project. Codex loads it when a task matches its description.
Can I use Export ML Notebook in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add probabl-ai/skills --skill export-ml-notebook -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/export-ml-notebook, .gemini/skills/export-ml-notebook, .github/skills/export-ml-notebook and .opencode/skills/export-ml-notebook in your project.
What does Export ML Notebook need to run?
Going by SKILL.md and its folder, Export ML Notebook needs the command-line tools its instructions call (python, uv and git). Our summary lists: Python 3.
Does Export ML Notebook access the network?
SKILL.md contains no URLs. Its commands use uv and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Export ML Notebook safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Export ML Notebook use?
Export ML Notebook is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Export ML Notebook use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Export ML Notebook?
Skills that share tags, products or a category with Export ML Notebook: Release Evidence Workflow (Ali-Marandi/ClimateDataAnalyzer, 107 stars), Save Research Notebook (napjon/krisk, 118 stars), Analytics Data Analysis (Mindrally/skills, 267 stars) and Jupyter Live Kernel (RedWoodOG/Hermes-Desktop, 177 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Export ML Notebook?
probabl-ai (a GitHub organization) maintains it in probabl-ai/skills, which has 135 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 6, 2026.
Source: probabl-ai/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.