telegram-dev

A development guide for building Telegram bots, in-Telegram web apps, and custom Telegram clients. Telegram is a messaging platform; bots are automated accounts, and Mini Apps are web apps that run inside it.

In plain words
What is it for?
Use it when implementing messages, webhooks, payments, authentication, storage, inline features, or custom Telegram clients.
Why use it?
It brings the main Telegram interfaces and common integration tasks together in one reference.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/godmakereth/vibe-coding-tw/telegram-dev
Any agent
npx skills add godmakereth/vibe-coding-tw --skill telegram-dev
Clone the repo
git clone --depth 1 https://github.com/godmakereth/vibe-coding-tw

Made for: Claude Code, Codex.

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,211 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00066 $0.05211
Opus 5 $0.00033 $0.02606
Sonnet 5 $0.00013 $0.01042
Haiku 4.5 $0.00007 $0.00521

Measured 2d ago against content hash 242770e3c3a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

telegram-dev scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

return requests.post(url, json=data)
Origin

This is a copy

100% identical to telegram-dev — 505 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/telegram-dev/SKILL.md · 761 lines

How it starts

The opening of the file, as written. The whole thing — 761 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Telegram 生態開發技能

全面的 Telegram 開發指南,涵蓋 Bot 開發、Mini Apps (Web Apps)、客戶端開發的完整技術棧。

何時使用此技能

當需要以下幫助時使用此技能:

  • 開發 Telegram Bot(訊息機器人)
  • 建立 Telegram Mini Apps(小程式)
  • 構建自定義 Telegram 客戶端
  • 整合 Telegram 支付和業務功能
  • 實現 Webhook 和長輪詢
  • 使用 Telegram 認證和儲存
  • 處理訊息、媒體和檔案
  • 實現內聯模式和鍵盤

Telegram 開發生態概覽

三大核心 API

  1. Bot API - 建立機器人程式

    • HTTP 介面,簡單易用
    • 自動處理加密和通訊
    • 適合:聊天機器人、自動化工具
  2. Mini Apps API (Web Apps) - 建立 Web 應用

    • JavaScript 介面
    • 在 Telegram 內執行
    • 適合:小程式、遊戲、電商
  3. Telegram API & TDLib - 建立客戶端

    • 完整的 Telegram 協議實現
    • 支援所有平臺
    • 適合:自定義客戶端、企業應用

Bot API 開發

快速開始

API 端點:

https://api.telegram.org/bot<TOKEN>/METHOD_NAME

獲取 Bot Token:

  1. 與 @BotFather 對話
  2. 傳送 /newbot
  3. 按提示設定名稱
  4. 獲取 token

第一個 Bot (Python):

import requests

BOT_TOKEN = "your_bot_token_here"
API_URL = f"https://api.telegram.org/bot{BOT_TOKEN}"

# 傳送訊息
def send_message(chat_id, text):
    url = f"{API_URL}/sendMessage"
    data = {"chat_id": chat_id, "text": text}
    return requests.post(url, json=data)

# 獲取更新(長輪詢)
def get_updates(offset=None):
    url = f"{API_URL}/getUpdates"
    params = {"offset": offset, "timeout": 30}
    return requests.get(url, params=params).json()

# 主迴圈
offset = None
while True:
    updates = get_updates(offset)
    for update in updates.get("result", []):
        chat_id = update["message"]["chat"]["id"]
        text = update["message"]["text"]
        
        # 回覆訊息
        send_message(chat_id, f"你說了:{text}")
        
        offset = update["update_id"] + 1

核心 API 方法

更新管理:

  • getUpdates - 長輪詢獲取更新
  • setWebhook - 設定 Webhook
  • deleteWebhook - 刪除 Webhook
  • getWebhookInfo - 查詢 Webhook 狀態

訊息操作:

  • sendMessage - 傳送文字訊息
  • sendPhoto / sendVideo / sendDocument - 傳送媒體
  • sendAudio / sendVoice - 傳送音訊
  • sendLocation / sendVenue - 傳送位置
  • editMessageText - 編輯訊息
  • deleteMessage - 刪除訊息
  • forwardMessage / copyMessage - 轉發/複製訊息

互動元素:

  • sendPoll - 傳送投票(最多 12 個選項)
  • 內聯鍵盤 (InlineKeyboardMarkup)
  • 回覆鍵盤 (ReplyKeyboardMarkup)
  • answerCallbackQuery - 響應回撥查詢

Read the full file on GitHub · 761 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 761 lines · 66 tokens per session scan A 242770e3c3a4

Subscribe to this mod's changes

telegram-dev is a skill published in the GitHub repository godmakereth/vibe-coding-tw (47 stars, last pushed 8mo ago), licensed MIT. It adds 66 tokens to every session and 5,211 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to telegram-dev, differing in 505 lines, and is treated as a copy.

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