Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Show the project choices already stored in status and let the user change one by re-entering the skill that owns it.
Install Review ML Choices
$ npx skills add probabl-ai/skills --skill review-ml-choices -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install probabl-ai/skills review-ml-choices --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/review-ml-choices .claude/skills/review-ml-choices && 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 "review-ml-choices" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/review-ml-choices into .claude/skills/review-ml-choices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-ml-choices", 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/review-ml-choicesType 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 review-ml-choices -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install probabl-ai/skills review-ml-choices --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/review-ml-choices .agents/skills/review-ml-choices && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-ml-choices" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/review-ml-choices into .agents/skills/review-ml-choices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-ml-choices", 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 review-ml-choices -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install probabl-ai/skills review-ml-choices --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/review-ml-choices .cursor/skills/review-ml-choices && 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 "review-ml-choices" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/review-ml-choices into .cursor/skills/review-ml-choices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-ml-choices", 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/review-ml-choices--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 review-ml-choices -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install probabl-ai/skills review-ml-choices --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/review-ml-choices .gemini/skills/review-ml-choices && 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 "review-ml-choices" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/review-ml-choices into .gemini/skills/review-ml-choices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-ml-choices", 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 review-ml-choicesInstalls 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 review-ml-choices -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/review-ml-choices .github/skills/review-ml-choices && 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 "review-ml-choices" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/review-ml-choices into .github/skills/review-ml-choices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-ml-choices", 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 review-ml-choices -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 review-ml-choices --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/review-ml-choices .opencode/skills/review-ml-choices && 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 "review-ml-choices" agent skill from https://github.com/probabl-ai/skills/tree/main/skills/review-ml-choices into .opencode/skills/review-ml-choices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-ml-choices", 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
review-ml-choices- GitHub stars
- 138
- Token cost
- ~845 tokens
- SKILL.md length
- 424 words
- Files
- 2
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
Show the project choices already stored in status and let the user change one by re-entering the skill that owns it.
- Works in 6 steps: Run python -m skore_skills review… → AskUserQuestion, one pick. Say first, in… → Keep these → stop. Do not load a skill. → …
- The user asks what we decided
- SKILL.md covers Human-facing prose, Sequence and Stop conditions
- Calls python and git
What it does
Review ML Choices is an agent skill from probabl-ai/skills. Show the project choices already stored in status and let the user change one by re-entering the skill that owns it. Trigger when the user asks what we decided, what the current settings are, or to change a stored project choice. SKIP an explicit sync, export, or “a constraint changed” request — those load sync-ml-reports, export-ml-project, or frame-ml-problem directly. HOW TO USE: run review choices, show that board, then load one owning skill. Do not policy set from here.
Its SKILL.md is about 850 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. The repository describes itself as: Tabular Data Science Skills for guardrailing AI Agents. The licence is BSD-3-Clause.
When your agent uses it
- The user asks what we decided
- What the current settings are
- Change a stored project choice
Example prompts
- “a constraint changed”
- “/review-ml-choices”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Run python -m skore_skills review choices. The JSON is the
- AskUserQuestion, one pick. Say first, in 2–4 lines, what a
- Keep these → stop. Do not load a skill.
- One changeable row → load that row's skill and stop. The
- One framing row → load frame-ml-problem naming that
- A request to change a read_only row: say that row's
What it can do on your machine
Read from SKILL.md and the folder at commit 77bb26c. 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:
pythongit
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use 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
Review ML Choices loads about 845 tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 424 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 77bb26c, republished under its BSD-3-Clause licence (© probabl-ai). 424 words, ~845 tokens.
Download SKILL.mdSave it as
.claude/skills/review-ml-choices/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- review-ml-choices
- description
- Show the project choices already stored in status and let the user change one by re-entering the skill that owns it. Trigger when the user asks what we decided, what the current settings are, or to change a stored project choice. SKIP an explicit sync, export, or “a constraint changed” request — those load sync-ml-reports, export-ml-project, or frame-ml-problem directly. HOW TO USE: run `review choices`, show that board, then load one owning skill. Do not policy set from here.
- metadata.modelTier
- small
Review ML Choices
Show stored choices. A change loads the skill that already owns
that decision. Do not write .skore or the journal from here.
Human-facing prose
Details: setup-workspace references/human_facing_prose.md.
The board uses data-science labels: where reports go, executed
notebooks, documentation site, git commits, who manages the
environment, data analysis, and each filled framing cell
(prediction goal, deployment, metric, fold count, and the
others below). Do not put skill
ids, G-* names, or the wrapper CLI in the question.
Sequence
Run
python -m skore_skills review choices. The JSON is the board. Do not rebuild which rows are offered. Do not runframe showorframe clearhere.AskUserQuestion, one pick. Say first, in 2–4 lines, what a change authorizes — re-entering that setup, not a silent flag flip — and echo the current values from the JSON. A file link is an addition, never the context.
Options are Keep these plus one option per
changeablerow and one option perframingrow.read_onlyandnot_offeredare context, not options. Use each row'svalue. Fornot_offered, say that row'sreason. Whenframing_reasonis set, say it and do not offer framing rows. "Who manages the environment" is whether this project manages it (policy.env.managed). An installed skill is not that value. Do not write a skill id on the board.Keep these → stop. Do not load a skill.
One
changeablerow → load that row'sskilland stop. The close names the decision being re-opened, not the skill id. Do notpolicy set. Do not run the child's commands from memory.skore_mode→ the user asked to change where reports go.notebooks_site→ notebooks and the documentation site.git_autocommit→ the user asked to change that choice.env_managed→ do not runenv add-skorehere. If the recorded destination ishubormlflow, do not use--mode local.data_analysiswhenactionisrerun→ do not write a JOURNALskippedrow. The written analysis stays; the change is to run it again.
One
framingrow → loadframe-ml-problemnaming that row'sid. Do not blank the cell here.A request to change a
read_onlyrow: say that row'sreasonand stop. Do not loadsetup-workspaceto rename. Do notpolicy set.
Show full SKILL.md (58 more words)Show less
Stop conditions
- Do not
policy setany key. - Do not edit JOURNAL, including a Data understanding
skippedrow. - Do not load
sync-ml-reportswhenpolicy.skore_modeis unset. - Do not
env add-skore,git commit, or scaffoldsrc/. - If the owning skill is not installed, show the value and skip the change in one line. Do not invent that skill's steps.
© 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/review-ml-choices of probabl-ai/skills.
- SKILL.md
- evals/evals.json
Open the folder on GitHubat commit 77bb26c
Compare with similar skills
Review ML Choices 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 |
|---|---|---|---|---|---|---|
| Review ML Choices this skillprobabl-ai/skills | 138 | — | ~845 | Automated safety check: Pass | BSD-3-Clause | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Review ML Choices
What does Review ML Choices do?
Show the project choices already stored in status and let the user change one by re-entering the skill that owns it. Review ML Choices is an agent skill from probabl-ai/skills. Show the project choices already stored in status and let the user change one by re-entering the skill that owns it.
When should I use Review ML Choices?
Review ML Choices fits situations like: the user asks what we decided; what the current settings are; change a stored project choice.
How do I install Review ML Choices in Claude Code?
Run `npx skills add probabl-ai/skills --skill review-ml-choices -a claude-code`. Or copy the skill folder (skills/review-ml-choices in probabl-ai/skills) into .claude/skills/review-ml-choices in your project. Claude Code loads it when a task matches its description.
How do I install Review ML Choices in Codex?
Run `npx skills add probabl-ai/skills --skill review-ml-choices -a codex`. Or copy the skill folder (skills/review-ml-choices in probabl-ai/skills) into .agents/skills/review-ml-choices in your project. Codex loads it when a task matches its description.
Can I use Review ML Choices 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 review-ml-choices -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-ml-choices, .gemini/skills/review-ml-choices, .github/skills/review-ml-choices and .opencode/skills/review-ml-choices in your project.
What does Review ML Choices need to run?
Going by SKILL.md and its folder, Review ML Choices needs the command-line tools its instructions call (python and git). Our summary lists: Python 3.
Does Review ML Choices access the network?
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Review ML Choices 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 Review ML Choices use?
Review ML Choices 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 Review ML Choices use?
About 845 tokens (SKILL.md is roughly 3.4k 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 Review ML Choices?
Skills that share tags, products or a category with Review ML Choices: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Review ML Choices?
probabl-ai (a GitHub organization) maintains it in probabl-ai/skills, which has 138 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 9, 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.