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Agent Skill · 研究检索

fireflies-api(fireflies API 搜索)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

fireflies-api 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 2,240。

总安装 64,945周安装 2,653GitHub Stars 3下载 21,012核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:fireflies-api(fireflies API 搜索)
来源仓库:https://github.com/byungkyu/fireflies-api
安装命令:
openclaw skills install fireflies-api
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 fireflies-api

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

Fireflies.ai GraphQL API 与托管 OAuth 集成。访问会议记录、摘要、用户、联系人和人工智能支持的会议分析。当用户想要检索会议记录、搜索对话、使用 AskFred 分析会议内容或管理会议录音时,请使用此技能。

对于其他第三方应用程序,请使用 api-gateway 技能 (https://clawhub.ai/byungkyu/api-gateway)。需要网络访问和有效的 Maton API 密钥。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install fireflies-api;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

fireflies-api 怎么安装?

在终端执行 openclaw skills install fireflies-api。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

fireflies-api 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

fireflies-api 需要什么权限?

权限级别是接触敏感数据。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。

fireflies-api 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

fireflies-api 用的人多吗?

公开数据是累计安装 64,945 次,近一周安装 2,653 次,下载 21,012 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

fireflies-api 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
fireflies-api

fireflies API 搜索 · 本页

64,9453接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
fireflies
description
|
metadata
author
maton
version
1.0
clawdbot
emoji
🧠
requires
env

Fireflies

Access the Fireflies.ai GraphQL API with managed OAuth authentication. Retrieve meeting transcripts, summaries, users, contacts, channels, and use AI-powered meeting analysis with AskFred.

Quick Start

# Get current user
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'query': '{ user { user_id name email is_admin } }'}).encode()
req = urllib.request.Request('https://api.maton.ai/fireflies/graphql', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Base URL

https://api.maton.ai/fireflies/graphql

All requests are sent to a single GraphQL endpoint. Maton proxies requests to api.fireflies.ai/graphql and automatically injects your OAuth token.

Authentication

All requests require the Maton API key in the Authorization header:

Authorization: Bearer $MATON_API_KEY

Environment Variable: Set your API key as MATON_API_KEY:

export MATON_API_KEY="YOUR_API_KEY"

Getting Your API Key

  1. Sign in or create an account at maton.ai
  2. Go to maton.ai/settings
  3. Copy your API key

Connection Management

Manage your Fireflies OAuth connections at https://api.maton.ai.

List Connections

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=fireflies&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Create Connection

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'fireflies'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Get Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "connection": {
    "connection_id": "{connection_id}",
    "status": "ACTIVE",
    "creation_time": "2026-02-11T00:45:25.802991Z",
    "last_updated_time": "2026-02-11T00:46:04.771700Z",
    "url": "https://connect.maton.ai/?session_token=...",
    "app": "fireflies",
    "metadata": {}
  }
}

Open the returned url in a browser to complete OAuth authorization.

Delete Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Specifying Connection

If you have multiple Fireflies connections, specify which one to use with the Maton-Connection header:

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'query': '{ user { user_id name email } }'}).encode()
req = urllib.request.Request('https://api.maton.ai/fireflies/graphql', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

If you have multiple connections, always include this header to ensure requests go to the intended account.

Security & Permissions

  • Access is scoped to meeting transcripts, notes, users, and audio recordings within the connected Fireflies account.
  • All write operations require explicit user approval. Before executing any create, update, or delete mutation, confirm the target resource and intended effect with the user.

GraphQL API

Fireflies uses GraphQL, which means all requests are POST requests to a single /graphql endpoint with a JSON body containing the query.

Request Format

POST /fireflies/graphql
Content-Type: application/json

{
  "query": "{ ... }",
  "variables": { ... }
}

Queries

Get Current User

{
  user {
    user_id
    name
    email
    is_admin
    num_transcripts
    minutes_consumed
    recent_transcript
    recent_meeting
  }
}

Response:

{
  "data": {
    "user": {
      "user_id": "01KH5131Z0W4TS7BBSEP66CV6V",
      "name": "John Doe",
      "email": "john@example.com",
      "is_admin": true,
      "num_transcripts": null,
      "minutes_consumed": 0
    }
  }
}

List Users

{
  users {
    user_id
    name
    email
    is_admin
    num_transcripts
    minutes_consumed
  }
}

List Transcripts

{
  transcripts {
    id
    title
    date
    duration
    host_email
    organizer_email
    privacy
    transcript_url
    audio_url
    video_url
    dateString
    calendar_type
    meeting_link
  }
}

With Variables (filtering):

{
  "query": "query($limit: Int, $skip: Int) { transcripts(limit: $limit, skip: $skip) { id title date duration } }",
  "variables": {
    "limit": 10,
    "skip": 0
  }
}

Get Transcript by ID

query($id: String!) {
  transcript(id: $id) {
    id
    title
    date
    duration
    host_email
    privacy
    transcript_url
    audio_url
    summary {
      overview
      short_summary
      action_items
      outline
      keywords
      meeting_type
    }
    sentences {
      text
      speaker_name
      start_time
      end_time
    }
    participants
    speakers {
      name
    }
  }
}

List Channels

{
  channels {
    id
    title
    created_at
    updated_at
    is_private
    created_by
  }
}

Get Channel by ID

query($id: String!) {
  channel(id: $id) {
    id
    title
    created_at
    is_private
    members
  }
}

List Contacts

{
  contacts {
    email
    name
    picture
    last_meeting_date
  }
}

List User Groups

{
  user_groups {
    id
    name
  }
}

List Bites (Soundbites)

{
  bites {
    id
    name
    transcript_id
    thumbnail
    preview
    status
    summary
    start_time
    end_time
    media_type
    created_at
  }
}

Get Bite by ID

query($id: String!) {
  bite(id: $id) {
    id
    name
    transcript_id
    summary
    start_time
    end_time
    captions
  }
}

List Active Meetings

{
  active_meetings {
    id
    title
    date
  }
}

AskFred Threads

Query meeting content using AI.

List Threads:

{
  askfred_threads {
    id
    title
    created_at
  }
}

Get Thread by ID:

query($id: String!) {
  askfred_thread(id: $id) {
    id
    title
    messages {
      content
      role
    }
  }
}

Mutations

Upload Audio

mutation($input: AudioUploadInput!) {
  uploadAudio(input: $input) {
    success
    title
    message
  }
}

Variables:

{
  "input": {
    "url": "https://example.com/audio.mp3",
    "title": "Meeting Recording"
  }
}

Delete Transcript

mutation($id: String!) {
  deleteTranscript(id: $id) {
    success
    message
  }
}

Update Meeting Title

mutation($id: String!, $title: String!) {
  updateMeetingTitle(id: $id, title: $title) {
    success
  }
}

Update Meeting Privacy

mutation($id: String!, $privacy: String!) {
  updateMeetingPrivacy(id: $id, privacy: $privacy) {
    success
  }
}

Update Meeting Channel

mutation($id: String!, $channelId: String!) {
  updateMeetingChannel(id: $id, channelId: $channelId) {
    success
  }
}

Set User Role

mutation($userId: String!, $role: String!) {
  setUserRole(userId: $userId, role: $role) {
    success
  }
}

Create Bite

mutation($input: CreateBiteInput!) {
  createBite(input: $input) {
    id
    name
  }
}

AskFred Mutations

Create Thread:

mutation($input: CreateAskFredThreadInput!) {
  createAskFredThread(input: $input) {
    id
    title
  }
}

Continue Thread:

mutation($id: String!, $question: String!) {
  continueAskFredThread(id: $id, question: $question) {
    id
    messages {
      content
      role
    }
  }
}

Delete Thread:

mutation($id: String!) {
  deleteAskFredThread(id: $id) {
    success
  }
}

Live Meeting Mutations

Update Meeting State (pause/resume):

mutation($id: String!, $state: String!) {
  updateMeetingState(id: $id, state: $state) {
    success
  }
}

Create Live Action Item:

mutation($meetingId: String!, $text: String!) {
  createLiveActionItem(meetingId: $meetingId, text: $text) {
    success
  }
}

Create Live Soundbite:

mutation($meetingId: String!, $name: String!) {
  createLiveSoundbite(meetingId: $meetingId, name: $name) {
    success
  }
}

Add Bot to Live Meeting:

mutation($meetingLink: String!) {
  addToLiveMeeting(meetingLink: $meetingLink) {
    success
  }
}

Code Examples

JavaScript

const query = `{
  user {
    user_id
    name
    email
  }
}`;

const response = await fetch(
  'https://api.maton.ai/fireflies/graphql',
  {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${process.env.MATON_API_KEY}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({ query })
  }
);
const data = await response.json();
console.log(data.data.user);

Python

import os
import requests

query = '''
{
  transcripts {
    id
    title
    date
    duration
  }
}
'''

response = requests.post(
    'https://api.maton.ai/fireflies/graphql',
    headers={
        'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
        'Content-Type': 'application/json'
    },
    json={'query': query}
)
data = response.json()
for transcript in data['data']['transcripts']:
    print(f"{transcript['title']}: {transcript['duration']}s")

Notes

  • Fireflies uses GraphQL, not REST - all requests are POST to /graphql
  • User IDs are ULIDs (e.g., 01KH5131Z0W4TS7BBSEP66CV6V)
  • Timestamps are Unix timestamps (milliseconds)
  • The summary field on transcripts contains AI-generated content: overview, action_items, outline, keywords
  • AskFred allows natural language queries across meeting transcripts
  • Rate limits: 50 API calls/day on free plan, more on Business plan
  • IMPORTANT: All GraphQL queries and mutations must be sent as POST requests with Content-Type: application/json
  • IMPORTANT: When piping curl output to jq or other commands, environment variables like $MATON_API_KEY may not expand correctly in some shell environments

Error Handling

StatusMeaning
400Invalid GraphQL query or missing connection
401Invalid or missing Maton API key
403Insufficient permissions
429Rate limited
500Internal server error

GraphQL Errors:

{
  "errors": [
    {
      "message": "Cannot query field \"id\" on type \"User\".",
      "code": "GRAPHQL_VALIDATION_FAILED"
    }
  ]
}

Troubleshooting: API Key Issues

  1. Check that the MATON_API_KEY environment variable is set:
echo $MATON_API_KEY
  1. Verify the API key is valid by listing connections:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Troubleshooting: Invalid App Name

  1. Ensure your URL path starts with fireflies. For example:
  • Correct: https://api.maton.ai/fireflies/graphql
  • Incorrect: https://api.maton.ai/graphql

Resources

平台分布

OpenClaw

91.22%
按下载量换算19,167

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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