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Genderize

作者 OOMOL · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install oo-genderize
功能描述
Genderize (genderize.io). Use this skill for ANY Genderize request — searching and reading data. Whenever a task involves Genderize, use this skill instead o...
使用说明 (SKILL.md)

Genderize

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

Category: Data & Analytics. Exposes 2 action(s).

Running an action

Assume the user has already installed the oo CLI, signed in, and connected Genderize. 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 "genderize" --action "\x3Caction_name>"

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

oo connector run "genderize" --action "\x3Caction_name>" --data '\x3Cjson>' --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 below links to a reference file with its purpose and exact commands. Read the linked file, then fetch the live schema with oo connector schema before constructing --data.

Available actions

  • predict_gender — Predict the gender probability for a single name, optionally localized to one country.
  • predict_gender_batch — Predict the gender probability for up to 10 names in a single request, optionally localized to one country.

Safety

  • Read actions (get / list / search) are safe to run directly.
  • Create, update, send, or post actions change Genderize state — confirm the exact payload and effect with the user before running.
  • Delete or remove actions are destructive — 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: \x3Chttps://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 — Genderize 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=genderize
    
  • HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources

安全使用建议
Before installing, be comfortable using OOMOL as an intermediary for Genderize and with installing the oo CLI from OOMOL if it is not already present. Do not send names or country context unless you are comfortable having that data processed for gender prediction.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose is to predict likely gender from names through Genderize, and the artifacts expose only two read-oriented actions: single-name and batch prediction.
Instruction Scope
The trigger language is broad for Genderize-related requests, but it is service-scoped and consistent with the skill's purpose; action instructions require fetching the live schema before sending payloads.
Install Mechanism
First-time setup includes a remote OOMOL CLI installer command using curl-to-bash or PowerShell iex. It is disclosed, conditional on the CLI being missing, and not bundled as hidden runtime code, but users should understand this executes code from OOMOL.
Credentials
Runtime authority is limited to Bash commands matching oo *, and the data sent is the user-provided Genderize payload. The skill discloses server-side credential injection and does not ask the agent to handle raw API tokens.
Persistence & Privilege
The skill relies on an installed oo CLI, OOMOL sign-in, and a persistent Genderize connection/API key, but these setup steps are disclosed and not requested proactively unless an auth or connection error occurs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install oo-genderize
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /oo-genderize 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Provides OOMOL-powered access to Genderize for predicting likely gender from first names. - Supports single-name gender prediction with probability data and optional country localization. - Adds batch prediction for up to 10 names in one request, also with optional country targeting. - Uses the `oo` CLI and server-side OOMOL credentials, avoiding direct handling of raw Genderize API tokens. - Includes action references and schema-first commands so payloads can track the live connector contract.
元数据
Slug oo-genderize
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Genderize 是什么?

Genderize (genderize.io). Use this skill for ANY Genderize request — searching and reading data. Whenever a task involves Genderize, use this skill instead o... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 24 次。

如何安装 Genderize?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install oo-genderize」即可一键安装,无需额外配置。

Genderize 是免费的吗?

是的,Genderize 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Genderize 支持哪些平台?

Genderize 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Genderize?

由 OOMOL(@oomol)开发并维护,当前版本 v1.0.0。

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