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BigML

该 Skill 通过 OOMOL 的 oo CLI 调用 bigml 连接器：先读取 action 的输入输出 schema，再执行列出/获取模型、提交预测、轮询预测状态、列出与删除预测等操作；标记为写入或删除的动作需先与用户确认，凭据由服务端注入，使用者无需直接处理令牌。

oomol
oomol
热度 41.24
最近更新 2026-09-15 12:19:36
分类：数据依赖：代码执行 / 第三方 API应用场景：数据处理 / API 集成

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-bigml
Metadata
name
oo-bigml
description
BigML (bigml.com). Use this skill for ANY BigML request — reading, creating, updating, and deleting data. Whenever a task involves BigML, use this skill instead of calling the API directly.
allowed-tools
["Bash(oo *)"]
metadata
{"title":"BigML","author":"OOMOL","version":"1.0.2","services":["bigml"],"icon":"https://static.oomol.com/logo/third-party/bigml.svg"}

BigML

Operate BigML through your OOMOL-connected account. This skill calls the bigml 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 BigML. 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 "bigml" --action "<action_name>"

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

oo connector run "bigml" --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

  • create_prediction — Submit a JSON prediction against an existing BigML model and return the prediction resource for polling. [write]
  • delete_prediction — Permanently delete one stored BigML prediction resource. [destructive]
  • get_model — Retrieve compact BigML model metadata and field definitions needed to construct prediction input.
  • get_prediction — Retrieve the current status and result of one BigML prediction resource for async polling.
  • list_models — List existing BigML supervised models with credential-safe pagination metadata and compact status details.
  • list_predictions — List stored BigML prediction resources with normalized status and credential-safe pagination metadata.

Safety

  • Untagged actions are reads (get / list / search) — safe to run directly.
  • Actions tagged [write] change BigML 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 — BigML 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=bigml

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

Resources