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formpass-submit表单提交

Agent Skill

formpass-submit 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,219

周安装

477

GitHub Stars

公开资料未说明

下载量

3,930
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:formpass-submit(表单提交)
来源仓库:https://github.com/jezjsa/formpass-submit
安装命令:
openclaw skills install formpass-submit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install formpass-submit

简介

用于发现并提交至支持 FormPass 的 Web 表单。

  • FormPass 提供身份验证层保障代理提交可信度。
  • 适合自动化填写注册、申请类在线表单任务。formpass-submit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需确保目标站点已接入 FormPass 协议方可使用。
  • 安装前建议核实网络访问及表单字段映射规则。

SKILL.md

name
formpass-submit
description
Discover and submit to FormPass-enabled web forms. FormPass is the trust layer that lets verified AI agents submit to real web forms with authenticated identity.
version
1.0.0
metadata
{"openclaw":{"emoji":"📋","requires":{"bins":["curl","jq"]},"homepage":"https://form-pass.com"}}

FormPass — Discover & Submit to Forms

FormPass is the identity and trust layer for AI agents submitting to web forms. Instead of scraping HTML and guessing field names, you get a structured API with schema validation and authenticated submissions.

Use this skill when the user asks you to:

  • Fill out or submit a web form
  • Apply to something via a form
  • Send a contact/enquiry/signup form
  • Interact with any FormPass-enabled form

How It Works

FormPass forms expose a three-step flow: detect → schema → submit.

Step 1: Detect a FormPass Form

When visiting a web page, look for these meta tags in the HTML <head>:

<meta name="formpass-form-id" content="FORM_ID_HERE">
<meta name="formpass-host" content="https://form-pass.com">

If you find them, extract the formpass-form-id value — that's the Form ID.

You can also check these discovery endpoints:

# Machine-readable discovery
curl -s https://form-pass.com/formpass.json | jq .

# LLM-friendly guide
curl -s https://form-pass.com/llms.txt

Step 2: Get the Form Schema

Fetch the form's field definitions before submitting. This tells you exactly what fields exist, which are required, and what types they expect.

curl -s "https://form-pass.com/api/forms/FORM_ID/schema" \
  -H "Accept: application/json" | jq .

Response:

{
  "formId": "abc123",
  "name": "Contact Form",
  "description": "Get in touch with us",
  "agentAccessible": true,
  "fields": [
    {
      "name": "name",
      "label": "Full Name",
      "type": "text",
      "required": true,
      "placeholder": "John Doe"
    },
    {
      "name": "email",
      "label": "Email Address",
      "type": "email",
      "required": true,
      "placeholder": "john@example.com"
    },
    {
      "name": "message",
      "label": "Message",
      "type": "textarea",
      "required": false,
      "placeholder": "How can we help?"
    }
  ],
  "branding": {
    "required": true,
    "text": "Powered by FormPass",
    "url": "https://form-pass.com"
  }
}

Important: If agentAccessible is false, the form owner has disabled agent submissions. Do not attempt to submit.

Step 3: Submit to the Form

POST your data as JSON. Include your Agent ID as a Bearer token if you have one (this identifies you as a verified agent).

curl -s -X POST "https://form-pass.com/api/submit/FORM_ID" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_AGENT_ID" \
  -d '{
    "name": "Agent Smith",
    "email": "agent@example.com",
    "message": "Hello from an AI agent",
    "_fp_branding": true
  }' | jq .

Success response:

{
  "success": true,
  "submissionId": "jh72..."
}

Required Headers

HeaderValueRequired
Content-Typeapplication/jsonYes
AuthorizationBearer fpagent_XXXXRecommended

The _fp_branding Field

If the schema response includes branding.required: true, you must include "_fp_branding": true in your submission body. Without it the API returns 402.

Agent ID

Your Agent ID (format: fpagent_XXXX) is issued when you register at FormPass. It verifies your identity to form owners. Submissions without an Agent ID are recorded as anonymous/human.

To get an Agent ID, register at: https://form-pass.com/dashboard/agents/new

Error Responses

StatusMeaning
200Success — submission recorded
402Branding required — add _fp_branding: true to your body
404Form not found or inactive
422Validation error — check required fields

The 422 response includes a fields array listing which fields failed validation.

Full Example: Detect and Submit

# 1. You've found a page with formpass-form-id="abc123"
FORM_ID="abc123"
HOST="https://form-pass.com"

# 2. Get the schema
SCHEMA=$(curl -s "$HOST/api/forms/$FORM_ID/schema")
echo "$SCHEMA" | jq '.fields[] | {name, type, required}'

# 3. Build and submit your data
curl -s -X POST "$HOST/api/submit/$FORM_ID" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer fpagent_your_id_here" \
  -d '{
    "name": "Your Name",
    "email": "you@example.com",
    "message": "Submitted via OpenClaw agent",
    "_fp_branding": true
  }' | jq .

Tips

  • Always fetch the schema first — field names and requirements can change.
  • Include your Agent ID to build trust with form owners. Anonymous submissions may be rejected.
  • If the schema shows agentAccessible: false, respect it and do not submit.
  • The _fp_branding field is stripped before data is stored — it's only for validation.
  • FormPass is a growing network. More forms are joining daily. Check any web form for the detection meta tags.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.41%
按下载量换算3,592

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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