Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
对 CSV/Excel 数据执行线性回归(OLS)或逻辑回归(Logistic),一键输出完整统计结果(包含回归系数、R²、p值、VIF等)和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性(VIF),或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。
$ npx skills add rongxinzy/RongxinAI --skill regression-insight -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI regression-insight --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/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/regression-insight .claude/skills/regression-insight && 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 "regression-insight" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/regression-insight into .claude/skills/regression-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-insight", 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/rongxinzy/RongxinAI/tree/main/SKILLs/regression-insightType 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 rongxinzy/RongxinAI --skill regression-insight -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI regression-insight --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SKILLs/regression-insight .agents/skills/regression-insight && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "regression-insight" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/regression-insight into .agents/skills/regression-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-insight", 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 rongxinzy/RongxinAI --skill regression-insight -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI regression-insight --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SKILLs/regression-insight .cursor/skills/regression-insight && 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 "regression-insight" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/regression-insight into .cursor/skills/regression-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-insight", 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/rongxinzy/RongxinAI.git --path SKILLs/regression-insight--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 rongxinzy/RongxinAI --skill regression-insight -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI regression-insight --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SKILLs/regression-insight .gemini/skills/regression-insight && 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 "regression-insight" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/regression-insight into .gemini/skills/regression-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-insight", 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 rongxinzy/RongxinAI regression-insightInstalls 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 rongxinzy/RongxinAI --skill regression-insight -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/SKILLs/regression-insight .github/skills/regression-insight && 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 "regression-insight" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/regression-insight into .github/skills/regression-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-insight", 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 rongxinzy/RongxinAI --skill regression-insight -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rongxinzy/RongxinAI regression-insight --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SKILLs/regression-insight .opencode/skills/regression-insight && 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 "regression-insight" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/regression-insight into .opencode/skills/regression-insight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-insight", 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.
regression-insight对 CSV/Excel 数据执行线性回归(OLS)或逻辑回归(Logistic),一键输出完整统计结果(包含回归系数、R²、p值、VIF等)和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性(VIF),或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。
Regression Insight is an agent skill from rongxinzy/RongxinAI. 对 CSV/Excel 数据执行线性回归(OLS)或逻辑回归(Logistic),一键输出完整统计结果(包含回归系数、R²、p值、VIF等)和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性(VIF),或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。
Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/regression_analyzer.py` and `zhiyuan/metadata.yaml`).
It sits in Documents & Office, covering Excel spreadsheets and CSV and tabular files. It works with Microsoft Excel and Python. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is MIT.
Read from SKILL.md and the folder at commit 9c64865. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
Regression Insight loads about 839 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 126 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); the scripts in this folder are not scanned.
The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its MIT licence (© rongxinzy). 126 words, ~839 tokens.
.claude/skills/regression-insight/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.自动回归建模工具 —— 对表格数据执行线性回归(OLS)或逻辑回归(Logit),一键输出完整统计结果和中文通俗解读。
| 功能 | 说明 |
|---|---|
| 线性回归 | OLS,输出系数、R²、调整 R²、F 检验、AIC/BIC、Durbin-Watson |
| 逻辑回归 | Logit,输出系数、Odds Ratio、Pseudo R²、似然比检验 |
| 多重共线性检测 | 每个自变量的 VIF 值 + 警告级别 |
| 通俗解读 | 用中文对每个指标和系数给出"什么意思/该怎么看"的说明 |
| 自动检测 | 目标变量为 0/1 时自动切换逻辑回归 |
在 ZhiYuan/Pi 内必须通过 run_skill_script 执行本技能脚本,禁止用 bash 直跑 python3 或 python:
{
"skillId": "regression-insight",
"script": "scripts/regression_analyzer.py",
"args": ["<数据文件>", "--target", "<目标列>"]
}args 与下方"详细用法"的命令行参数一一对应(去掉 python3 scripts/regression_analyzer.py 前缀)。requirements.txt)由应用管理的技能 Python 运行时保证,不需要也不应该手动 pip install 或寻找系统 Python。python3 或手写替代实现(例如用纯 Python 循环重算回归)——直接报告该错误,说明需要技能 Python 运行时提供依赖。{
"skillId": "regression-insight",
"script": "scripts/regression_analyzer.py",
"args": ["data.csv", "--target", "price"]
}完整命令示例(展示参数映射,实际执行一律经 run_skill_script):
# 线性回归:预测 price,用所有数值列做自变量
python3 scripts/regression_analyzer.py data.csv --target price
# 逻辑回归:预测 churn(0/1),指定特征列
python3 scripts/regression_analyzer.py users.csv --target churn --features "age,income,tenure"
# 保存结果到 JSON
python3 scripts/regression_analyzer.py data.csv --target sales --output result.json以下命令示例仅用于展示参数映射——实际执行一律通过 run_skill_script,将参数放入 args 数组(见上方 Tooling 段)。禁止在 bash 中直跑 python3 调用本脚本。
python3 scripts/regression_analyzer.py <数据文件> --target <目标列> [选项]# 强制线性回归
python3 scripts/regression_analyzer.py data.csv -t y --type linear
# 强制逻辑回归
python3 scripts/regression_analyzer.py data.csv -t label --type logistic
# 自动检测(默认)
python3 scripts/regression_analyzer.py data.csv -t y --type auto# 手动指定(逗号分隔)
python3 scripts/regression_analyzer.py data.csv -t price -f "sqft,bedrooms,bathrooms"
# 省略则自动使用所有数值列
python3 scripts/regression_analyzer.py data.csv -t price| 参数 | 缩写 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
input | — | 是 | — | 输入文件路径(CSV/TSV/Excel/JSON) |
--target | -t | 是 | — | 目标变量(因变量)列名 |
--features | -f | 否 | 全部数值列 | 自变量列名,逗号分隔 |
--type | -T | 否 | auto | 回归类型:linear / logistic / auto |
--output | -o | 否 | 标准输出 | 结果 JSON 保存路径 |
--no-const | — | 否 | false | 不添加截距项 |
--keep-na | — | 否 | false | 保留缺失值行(调试用) |
{
"type": "linear",
"r_squared": 0.8523,
"r_squared_adj": 0.8471,
"f_statistic": 162.34,
"f_p_value": 0.0,
"coefficients": {
"sqft": {"coefficient": 135.42, "p_value": 0.0001, ...},
"bedrooms": {"coefficient": 8021.5, "p_value": 0.032, ...}
},
"vif": {"sqft": 2.31, "bedrooms": 1.87},
"interpretation": {
"模型概述": ["R² = 0.8523(模型拟合优良…)"],
"各变量解读": ["sqft:系数 = 135.42…正向影响…"]
}
}运行时依赖(pandas、numpy、statsmodels、scipy)由应用管理的技能 Python 运行时按 requirements.txt 提供,无需也不应手动安装。仅在本地独立调试(不经过 ZhiYuan 运行时)时才需要:
pip install pandas numpy statsmodels scipy© rongxinzy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts) in SKILLs/regression-insight of rongxinzy/RongxinAI.
Open the folder on GitHubat commit 9c64865
Regression Insight 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 |
|---|---|---|---|---|---|---|
| Regression Insight this skillrongxinzy/RongxinAI | 154 | — | ~839 | Automated safety check: Pass | MIT | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Anti Gambling Tradermars-tw/anti-gambling-trader-tw | 907 | — | ~1.9k | Automated safety check: Pass | MIT | |
| XLSX Spreadsheet ToolkitXiaomiMiMo/MiMo-Code | 14k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Cc Streaming Export Safetydoccker/cc-use-exp | 1.1k | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Excel Spreadsheet Builderagentscope-ai/QwenPaw | 36k | — | ~1.8k | Automated safety check: Pass | Proprietary |
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
mars-tw/anti-gambling-trader-tw
分析台股 / 台股ETF / 台指期選擇權 / 美股 / 加密貨幣 / 外匯的交易紀錄 (CSV / JSON / Excel),用統計學判斷使用者的獲利是「可重複的優勢」還是 「運氣 + 倖存者偏差(賭博)」,不適合長期投資會明確勸退。內建反詐工具: 掃描群組對話的詐騙話術(scan-text)、檢驗老師宣稱的績效(guru-check)、…
XiaomiMiMo/MiMo-Code
Builds, edits, cleans, recalculates and reads Excel workbooks and CSV files with openpyxl and pandas, plus LibreOffice for recalculation and PDF export.
doccker/cc-use-exp
当实现用户驱动的大文件导出或批量序列化(Excel/CSV/JSON/JSONL/PDF,数据量未知或超过 1 万行/10 MB)时触发;普通小文件下载、静态资源下载、非导出 Writer/Report 类不触发。防止 OOM、临时文件残留、同步导出阻塞 HTTP 线程和表格公式注入。
agentscope-ai/QwenPaw
Creates, edits, cleans and analyzes Excel and CSV files with openpyxl and pandas, recalculating formulas through LibreOffice so files are delivered without formula errors.
OneWave-AI/claude-skills
Combines CSV, TSV and Excel files into one verified table with pandas, by stacking or joining, mapping columns, normalizing keys and removing duplicates.
rongxinzy/RongxinAI
SaaS financial health advisor. An agent skill from rongxinzy/RongxinAI.
rongxinzy/RongxinAI
Reduce voluntary and involuntary churn through cancel flow design, save offers, exit surveys, and dunning sequences.
rongxinzy/RongxinAI
The only skill for creating a new PowerPoint deck. An agent skill from rongxinzy/RongxinAI.
rongxinzy/RongxinAI
ZhiYuan Agent expert package lifecycle manager for the pi engine.
rongxinzy/RongxinAI
Professional Ziwei Doushu consultation skill with an offline calculation engine.
rongxinzy/RongxinAI
飞书邮箱:Use when user mentions 起草邮件、写邮件、草稿、发送/回复/转发邮件、查阅邮件、看邮件、搜索邮件、邮件文件夹、邮件标签、邮件联系人、监听新邮件、邮件收信规则等;use for mail/email intent only.
Works with
Categories
对 CSV/Excel 数据执行线性回归(OLS)或逻辑回归(Logistic),一键输出完整统计结果(包含回归系数、R²、p值、VIF等)和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性(VIF),或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。. Regression Insight is an agent skill from rongxinzy/RongxinAI.
Regression Insight fits situations like: tasks that involve Excel spreadsheets; tasks that involve CSV and tabular files.
Run `npx skills add rongxinzy/RongxinAI --skill regression-insight -a claude-code`. Or copy the skill folder (SKILLs/regression-insight in rongxinzy/RongxinAI) into .claude/skills/regression-insight in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rongxinzy/RongxinAI --skill regression-insight -a codex`. Or copy the skill folder (SKILLs/regression-insight in rongxinzy/RongxinAI) into .agents/skills/regression-insight 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 rongxinzy/RongxinAI --skill regression-insight -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/regression-insight, .gemini/skills/regression-insight, .github/skills/regression-insight and .opencode/skills/regression-insight in your project.
Going by SKILL.md and its folder, Regression Insight needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Regression Insight is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 839 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.
Skills that share tags, products or a category with Regression Insight: Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Anti Gambling Trader (mars-tw/anti-gambling-trader-tw, 907 stars), XLSX Spreadsheet Toolkit (XiaomiMiMo/MiMo-Code, 14k stars) and Cc Streaming Export Safety (doccker/cc-use-exp, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.
Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.