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.
npx agentmods add skills/andresharpe/dotbot/implement-telegram-botnpx skills add andresharpe/dotbot --skill implement-telegram-botgit clone --depth 1 https://github.com/andresharpe/dotbotWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.01142 |
| Opus 5 | $0.00012 | $0.00571 |
| Sonnet 5 | $0.00005 | $0.00228 |
| Haiku 4.5 | $0.00002 | $0.00114 |
Grade A, and why
implement-telegram-bot scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement Telegram Bot
Guide for building Telegram bot functionality using Telegram.Bot library.
When to Use
- Creating bot commands and handlers
- Parsing user messages and responses
- Building interactive keyboards
- Sending notifications and messages
- Managing conversation state
Bot Setup
var botClient = new TelegramBotClient(botToken);
var receiverOptions = new ReceiverOptions
{
AllowedUpdates = Array.Empty<UpdateType>() // Receive all update types
};
botClient.StartReceiving(
updateHandler: HandleUpdateAsync,
pollingErrorHandler: HandlePollingErrorAsync,
receiverOptions: receiverOptions);
Command Handling
private async Task HandleUpdateAsync(ITelegramBotClient botClient, Update update, CancellationToken cancellationToken)
{
if (update.Message is not { } message)
return;
if (message.Text is not { } messageText)
return;
var chatId = message.Chat.Id;
if (messageText.StartsWith("/"))
{
await HandleCommand(botClient, chatId, messageText, cancellationToken);
}
else
{
await HandleMessage(botClient, chatId, messageText, cancellationToken);
}
}
private async Task HandleCommand(ITelegramBotClient botClient, long chatId, string command, CancellationToken cancellationToken)
{
var parts = command.Split(' ', 2);
var cmd = parts[0].ToLower();
var args = parts.Length > 1 ? parts[1] : string.Empty;
switch (cmd)
{
case "/start":
await botClient.SendTextMessageAsync(chatId, "Welcome!", cancellationToken: cancellationToken);
break;
case "/help":
await SendHelp(botClient, chatId, cancellationToken);
break;
// ... more commands
}
}
Inline Keyboards
// Quick reply buttons
var keyboard = new InlineKeyboardMarkup(new[]
{
new[]
{
InlineKeyboardButton.WithCallbackData("Option A", "callback_a"),
InlineKeyboardButton.WithCallbackData("Option B", "callback_b")
},
new[]
{
InlineKeyboardButton.WithCallbackData("Cancel", "callback_cancel")
}
});
await botClient.SendTextMessageAsync(
chatId: chatId,
text: "Choose an option:",
replyMarkup: keyboard,
cancellationToken: cancellationToken);
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.
- 2d ago First seen · 189 lines · 23 tokens per session scan A ae879053d262
implement-telegram-bot is a skill published in the GitHub repository andresharpe/dotbot (54 stars, last pushed 5d ago), licensed MIT. It adds 23 tokens to every session and 1,142 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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