Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
提供决策树分类建模与超参数优化能力；当用户需要建立分类模型、优化模型参数、生成可视化决策树或输出完整建模报告时使用. An agent skill from Drchronx/ai-agent-research-starter-kit.
Install Decision Tree Modeling
$ npx skills add Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit decision-tree-modeling --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/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling' .claude/skills/decision-tree-modeling && 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 "decision-tree-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/04_%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86%E6%95%B4%E5%90%88%E4%B8%8E%E5%AE%9E%E8%AF%81Skills/decision-tree-modeling into .claude/skills/decision-tree-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-tree-modeling", 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/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/04_%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86%E6%95%B4%E5%90%88%E4%B8%8E%E5%AE%9E%E8%AF%81Skills/decision-tree-modelingType 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 Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit decision-tree-modeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling' .agents/skills/decision-tree-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "decision-tree-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/04_%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86%E6%95%B4%E5%90%88%E4%B8%8E%E5%AE%9E%E8%AF%81Skills/decision-tree-modeling into .agents/skills/decision-tree-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-tree-modeling", 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 Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit decision-tree-modeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling' .cursor/skills/decision-tree-modeling && 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 "decision-tree-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/04_%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86%E6%95%B4%E5%90%88%E4%B8%8E%E5%AE%9E%E8%AF%81Skills/decision-tree-modeling into .cursor/skills/decision-tree-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-tree-modeling", 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/Drchronx/ai-agent-research-starter-kit.git --path '综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling'--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 Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit decision-tree-modeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling' .gemini/skills/decision-tree-modeling && 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 "decision-tree-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/04_%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86%E6%95%B4%E5%90%88%E4%B8%8E%E5%AE%9E%E8%AF%81Skills/decision-tree-modeling into .gemini/skills/decision-tree-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-tree-modeling", 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 Drchronx/ai-agent-research-starter-kit decision-tree-modelingInstalls 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 Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/'综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling' .github/skills/decision-tree-modeling && 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 "decision-tree-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/04_%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86%E6%95%B4%E5%90%88%E4%B8%8E%E5%AE%9E%E8%AF%81Skills/decision-tree-modeling into .github/skills/decision-tree-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-tree-modeling", 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 Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit decision-tree-modeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling' .opencode/skills/decision-tree-modeling && 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 "decision-tree-modeling" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E7%BB%BC%E5%90%88%E5%AD%A6%E6%9C%AF%E9%83%A8%E7%BD%B2%E5%8C%85/04_%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86%E6%95%B4%E5%90%88%E4%B8%8E%E5%AE%9E%E8%AF%81Skills/decision-tree-modeling into .opencode/skills/decision-tree-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-tree-modeling", 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
decision-tree-modeling- GitHub stars
- 134
- Token cost
- ~516 tokens
- SKILL.md length
- 78 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
提供决策树分类建模与超参数优化能力；当用户需要建立分类模型、优化模型参数、生成可视化决策树或输出完整建模报告时使用. An agent skill from Drchronx/ai-agent-research-starter-kit.
- Works in 3 steps: 数据准备 → 执行建模分析 → 解读分析报告
- Documents & Office work in your project
- SKILL.md covers 任务目标, 操作步骤, 资源索引 and 注意事项, plus 1 more section
- Runs Python scripts from its folder; calls python
What it does
Decision Tree Modeling is an agent skill from Drchronx/ai-agent-research-starter-kit. 提供决策树分类建模与超参数优化能力；当用户需要建立分类模型、优化模型参数、生成可视化决策树或输出完整建模报告时使用
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/data_format.md`, `references/model_report.md` and `scripts/decision_tree_modeling.py`).
It sits in Documents & Office. It works with Microsoft Excel. The repository describes itself as: AI Agent 科研全流程教学包，能教学生从零部署 Codex、Claude Code、OpenClaw、Hermes 等 Agent，学会使用 Skills、飞书、AMiner、AI4Scholar、Zotero、Obsidian…
When your agent uses it
- Documents & Office work in your project
Example prompts
- “/decision-tree-modeling”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 数据准备
- 执行建模分析
- 解读分析报告
What it can do on your machine
Read from SKILL.md and the folder at commit aab1133. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Decision Tree Modeling loads about 516 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 20 tokens; SKILL.md has 78 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 78 words (~516 tokens).
“bash python scripts/decision_tree_modeling.py --input ./iris.csv --target species --output_dir ./output”
- name
- decision-tree-modeling
- dependency.python
- scikit-learn==1.3.0, pandas==2.0.3, numpy==1.24.3, matplotlib==3.7.2, openpyxl==3.1.2, joblib==1.3.1
Files
SKILL.md and 3 other files (scripts, references) in 综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling of Drchronx/ai-agent-research-starter-kit.
- SKILL.md
- references/data_format.md
- references/model_report.md
- scripts/decision_tree_modeling.py
Open the folder on GitHubat commit aab1133
Compare with similar skills
Decision Tree Modeling 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 |
|---|---|---|---|---|---|---|
| Decision Tree Modeling this skillDrchronx/ai-agent-research-starter-kit | 134 | — | ~516 | Automated safety check: Pass | Custom licence | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| GenOffice Document CLIgenspark-ai/genoffice | 8.8k | — | ~19k | Automated safety check: Pass | Apache-2.0 | |
| Docx4jplutext/docx4j | 2.4k | — | ~2.5k | Automated safety check: Pass | None | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Cyber Pptcrazyykhllc-bit/CyberPPT | 1.8k | — | ~10k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Decision Tree Modeling
What does Decision Tree Modeling do?
提供决策树分类建模与超参数优化能力；当用户需要建立分类模型、优化模型参数、生成可视化决策树或输出完整建模报告时使用. An agent skill from Drchronx/ai-agent-research-starter-kit. Decision Tree Modeling is an agent skill from Drchronx/ai-agent-research-starter-kit.
When should I use Decision Tree Modeling?
Decision Tree Modeling fits situations like: documents & Office work in your project.
How do I install Decision Tree Modeling in Claude Code?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a claude-code`. Or copy the skill folder (综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling in Drchronx/ai-agent-research-starter-kit) into .claude/skills/decision-tree-modeling in your project. Claude Code loads it when a task matches its description.
How do I install Decision Tree Modeling in Codex?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a codex`. Or copy the skill folder (综合学术部署包/04_数据采集整合与实证Skills/decision-tree-modeling in Drchronx/ai-agent-research-starter-kit) into .agents/skills/decision-tree-modeling in your project. Codex loads it when a task matches its description.
Can I use Decision Tree Modeling 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 Drchronx/ai-agent-research-starter-kit --skill decision-tree-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/decision-tree-modeling, .gemini/skills/decision-tree-modeling, .github/skills/decision-tree-modeling and .opencode/skills/decision-tree-modeling in your project.
What does Decision Tree Modeling need to run?
Going by SKILL.md and its folder, Decision Tree Modeling needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Decision Tree Modeling access the network?
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.
Is Decision Tree Modeling 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Decision Tree Modeling use?
Decision Tree Modeling has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Decision Tree Modeling use?
About 516 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Decision Tree Modeling?
Skills that share tags, products or a category with Decision Tree Modeling: Markitdown (ImCa0/just-laws, 781 stars), GenOffice Document CLI (genspark-ai/genoffice, 8.8k stars), Docx4j (plutext/docx4j, 2.4k stars) and Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Decision Tree Modeling?
Drchronx (a GitHub user) maintains it in Drchronx/ai-agent-research-starter-kit, which has 134 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on May 19, 2026.
Source: Drchronx/ai-agent-research-starter-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.