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Kaggle

该 Skill 通过 OOMOL 的 oo CLI 调用 Kaggle 连接器，在用户已登录 OOMOL 并连接 Kaggle 后执行只读查询动作：列出竞赛、数据集、Notebook/脚本与模型，支持搜索、类别、归属和分页等筛选。凭证由服务端注入，运行前需先用 oo connector schema 获取动作的权威输入输出结构，再以 JSON payload 执行。

oomol
oomol
热度 45.70
最近更新 2026-09-15 12:47:15
分类：搜索依赖：代码执行 / 第三方 API应用场景：研究

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add oo-kaggle
Metadata
name
oo-kaggle
description
Kaggle (kaggle.com). Use this skill for ANY Kaggle request — searching and reading data. Whenever a task involves Kaggle, use this skill instead of calling the API directly.
allowed-tools
["Bash(oo *)"]
metadata
{"title":"Kaggle","author":"OOMOL","version":"1.0.2","services":["kaggle"],"icon":"https://static.oomol.com/logo/third-party/kaggle.png"}

Kaggle

Operate Kaggle through your OOMOL-connected account. This skill calls the kaggle connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Running an action

Assume the user has already installed the oo CLI, signed in, and connected Kaggle. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

oo connector schema "kaggle" --action "<action_name>"

2. Run the action with a JSON payload that matches the input schema:

oo connector run "kaggle" --action "<action_name>" --data '<json>' --json
  • --data takes a JSON object string or @path/to/file.json; omit it to send {}.
  • The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action's live schema with oo connector schema to get its authoritative input fields.

Available actions

  • list_competitions — List Kaggle competitions with optional group, category, search, and pagination filters.
  • list_datasets — List Kaggle datasets with optional search, ownership, type, license, tag, and size filters.
  • list_kernels — List Kaggle notebooks and scripts with optional search, source, language, type, and pagination filters.
  • list_models — List Kaggle models with optional owner, search, sort, and pagination filters.

Safety

  • Untagged actions are reads (get / list / search) — safe to run directly.
  • Actions tagged [write] change Kaggle state — confirm the exact payload and effect with the user before running.
  • Actions tagged [destructive] remove or overwrite data — always confirm the target and get explicit approval first.

First-time setup

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

  • oo: command not found — install the oo CLI (other platforms: https://cli.oomol.com/install-guide.md):

    curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux

    irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell

  • Not signed in / authentication error — sign in to your OOMOL account once:

    oo auth login

  • scope_missing / credential_expired / app_not_ready / app_not_found — Kaggle is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:

    https://console.oomol.com/app-connections?provider=kaggle

  • HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources