Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
CEO checks consistency of agent outputs during post-completion review
$ npx skills add chekusu/wanman --skill cross-validation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install chekusu/wanman cross-validation --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/chekusu/wanman.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/skills/cross-validation .claude/skills/cross-validation && 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 "cross-validation" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/cross-validation into .claude/skills/cross-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-validation", 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/chekusu/wanman/tree/main/packages/core/skills/cross-validationType 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 chekusu/wanman --skill cross-validation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install chekusu/wanman cross-validation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/core/skills/cross-validation .agents/skills/cross-validation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cross-validation" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/cross-validation into .agents/skills/cross-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-validation", 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 chekusu/wanman --skill cross-validation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install chekusu/wanman cross-validation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/core/skills/cross-validation .cursor/skills/cross-validation && 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 "cross-validation" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/cross-validation into .cursor/skills/cross-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-validation", 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/chekusu/wanman.git --path packages/core/skills/cross-validation--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 chekusu/wanman --skill cross-validation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install chekusu/wanman cross-validation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/core/skills/cross-validation .gemini/skills/cross-validation && 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 "cross-validation" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/cross-validation into .gemini/skills/cross-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-validation", 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 chekusu/wanman cross-validationInstalls 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 chekusu/wanman --skill cross-validation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/core/skills/cross-validation .github/skills/cross-validation && 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 "cross-validation" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/cross-validation into .github/skills/cross-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-validation", 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 chekusu/wanman --skill cross-validation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install chekusu/wanman cross-validation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chekusu/wanman.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/core/skills/cross-validation .opencode/skills/cross-validation && 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 "cross-validation" agent skill from https://github.com/chekusu/wanman/tree/main/packages/core/skills/cross-validation into .opencode/skills/cross-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-validation", 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.
cross-validationCEO checks consistency of agent outputs during post-completion review
Cross Validation is an agent skill from chekusu/wanman. CEO checks consistency of agent outputs during post-completion review
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Machine learning. The repository describes itself as: wanman is an open-source agent matrix runtime inspired by Japanese one-man trains. It lets human users step back into an observer role while local agent runtimes coordinate… The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d3a8138. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cross Validation loads about 824 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 230 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.
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.
The full file from chekusu/wanman at commit d3a8138, republished under its Apache-2.0 licence (© chekusu). 230 words, ~824 tokens.
.claude/skills/cross-validation/SKILL.md (or your agent's skills folder).After wanman task list shows all tasks with status=done, perform output consistency validation before inspecting artifact data.
# List all agent output files
find /workspace/agents -name "*.md" -o -name "*.html" | grep -v CLAUDE.md | sortExtract the following key information from each file:
| Fact Type | Example |
|---|---|
| Brand name | "COFFEE TO" |
| Tagline | "Coffee to, begin." |
| Address | 2-XX-XX Kamimeguro, Meguro-ku, Tokyo |
| Business hours | 8:00 - 20:00 |
| Opening date | 2026.4.1 |
| Menu prices | Drip Coffee ¥500 |
| Instagram handle | @coffee.to.nakameguro |
| Color HEX values | #2D1B0E, #F5E6D3 |
Cross-check file by file:
Brand guide (marketing) brand name ←→ Website (dev) brand name
Brand guide tagline ←→ Poster (marketing) tagline
Brand guide colors ←→ Website CSS colors
Financial report pricing ←→ Website menu prices
Poster opening date ←→ Social media content date
Poster address ←→ Website addressWhen inconsistencies are found, defer to the earliest completed authoritative document (usually the brand guide) and create a correction task:
# Example: website brand name does not match brand guide
wanman task create "Fix website brand name: unify the brand name on the website from 'KAWA' to 'COFFEE TO' as specified in the brand guide. Update all brand names, taglines, and Instagram handles in index.html. Reference: /workspace/agents/output/marketing/brand-design.md" --assign dev --priority 1When information conflicts, follow this order of precedence:
| Pattern | Cause | Fix |
|---|---|---|
| Website brand name differs from brand guide | Dev started website before brand design was complete | Create correction task for dev |
| Poster prices differ from financial pricing | Marketing and finance worked independently | Defer to finance, fix the poster |
| Social media dates differ from poster dates | Same agent produced outputs at different times | Unify to the latest confirmed date |
When creating tasks, use --after to declare dependencies:
# Brand design must be completed first
brand_id=$(wanman task create "Brand design" --assign marketing --priority 1 | grep -o '[a-f0-9-]\{36\}')
# Website development depends on brand design
wanman task create "Website development: based on the brand guide..." --assign dev --priority 5 --after $brand_id
# Poster design also depends on brand design
wanman task create "Opening poster: based on the brand guide..." --assign marketing --priority 4 --after $brand_id© chekusu, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in packages/core/skills/cross-validation of chekusu/wanman.
Open the folder on GitHubat commit d3a8138
Cross Validation 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 |
|---|---|---|---|---|---|---|
| Cross Validation this skillchekusu/wanman | 688 | — | ~824 | Automated safety check: Pass | Apache-2.0 | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 6 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT | |
| Retention Analysisliangdabiao/claude-data-analysis-ultra-main | 290 | 1 repos | ~1.3k | Automated safety check: Notes | None | |
| Geomlitalo-goncalves/geoML | 109 | — | ~4.2k | Automated safety check: Pass | GPL-3.0 |
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Raidriar7170/hermes-skilleval
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.
FrankS-IntelLab/agentic-kaggle-skill
Takes a Kaggle competition from rules and validation design through baselines, ensembling and notebook architecture to a scored submission.
liangdabiao/claude-data-analysis-ultra-main
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
italo-goncalves/geoML
Working knowledge of the geoML Python package (github.com/italo-goncalves/geoML): variational Gaussian processes for spatial data, implicit geological modelling, block models, drillhole data…
Aperivue/medsci-skills
A skill your agent uses when building or auditing a radiomics or tabular clinical-ML prediction model with a classical learner (LASSO, SVM, random forest, XGBoost and similar).
chekusu/wanman
Naming conventions for artifact kind and path, ensuring data can be aggregated and analyzed
chekusu/wanman
Quality standards for structured deliverables, ensuring data is verifiable and traceable
chekusu/wanman
Methodology for market research and data collection, ensuring data quality and source traceability
chekusu/wanman
wanman CLI command reference — inter-agent communication, task management, artifact storage
chekusu/wanman
File and output conventions for agent workspaces. An agent skill from chekusu/wanman.
Categories
CEO checks consistency of agent outputs during post-completion review. Cross Validation is an agent skill from chekusu/wanman.
Cross Validation fits situations like: tasks that involve Machine learning.
Run `npx skills add chekusu/wanman --skill cross-validation -a claude-code`. Or copy the skill folder (packages/core/skills/cross-validation in chekusu/wanman) into .claude/skills/cross-validation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add chekusu/wanman --skill cross-validation -a codex`. Or copy the skill folder (packages/core/skills/cross-validation in chekusu/wanman) into .agents/skills/cross-validation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add chekusu/wanman --skill cross-validation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cross-validation, .gemini/skills/cross-validation, .github/skills/cross-validation and .opencode/skills/cross-validation in your project.
SKILL.md names no scripts, command-line tools or credentials: Cross Validation is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Cross Validation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 824 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cross Validation: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars) and Retention Analysis (liangdabiao/claude-data-analysis-ultra-main, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
chekusu (a GitHub organization) maintains it in chekusu/wanman, which has 688 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 14, 2026.
Source: chekusu/wanman on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.