Install
$ agentstack add skill-woodfishhhh-ez-math-model-dataset ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
dataset — 公开数据集发现
何时使用
- 题目附件没有数据集,但题面要求"查找类似公开数据"。
- 需要历史基准数据集(如 MNIST / Iris / 波士顿房价)做模型对比。
- 不要在已有附件数据时启用本子 skill。
入口
| 数据源 | 入口 | 配置 | |---|---|---| | Kaggle | kaggle datasets list -s / kaggle datasets download -d | ~/.kaggle/kaggle.json(注册免费下载) | | UCI ML | 直接 HTTPS pd.read_csv(url) | 无 | | HuggingFace | from datasets import load_dataset | EZMM_HF_TOKEN(私有数据集) | | 天池 | 浏览器 + 手动下载 | 无 |
命令模板
# Kaggle 搜索 + 下载
kaggle datasets list -s "vegetable retail price"
kaggle datasets download -d -p workdir/.../attachments/external/kaggle --unzip
# HuggingFace
python -c "from datasets import load_dataset; ds = load_dataset('squad', split='train[:1%]')"
# UCI(直接 URL)
python -c "import pandas as pd; df = pd.read_csv('https://archive.ics.uci.edu/...'); df.to_csv('workdir/.../attachments/external/uci/iris.csv', index=False)"
落盘规范
外部下载的数据放在:
workdir/{task_id}/attachments/external///
并在同目录写 SOURCES.md:
- 数据集名:
- 来源:
- License:
- 下载时间:
- 用途说明:
失败诊断
| 情况 | 处理 | |---|---| | Kaggle token 未配置 | 提示用户 ~/.kaggle/kaggle.json 配置 | | License 不允许商用 | 数据可用于学术建模报告;论文中标明出处 + license | | 文件 > 1GB | coder 阶段用 chunksize 处理(参考 prompts/coder.md) | | 网络受限 | 写诊断;建议用户手动下载放入 attachments/ |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: woodfishhhh
- Source: woodfishhhh/EZmath_model
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.