telegram-bot: Skill for Cursor

.cursor/skills/bot-user/create-input-chain/SKILL.md

create-input-chain is a skill for Cursor from vendelieu/telegram-bot. It costs 0 tokens per session (503 once invoked), scanned A, original, Apache-2.0.

A coding skill for creating input chains in Telegram bots. An input chain is a sequence of steps that automatically handles a user's next messages.

In plain words
What is it for?
Use it for guided conversations such as collecting a name, asking follow-up questions, validating answers, and storing a conversation's progress.
Why use it?
It avoids manually tracking which question a user is answering and deciding what happens next. It also supports stopping, repeating, or continuing the chain based on the user's message.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is vendelieu/telegram-bot's own configuration. It tells Cursor how to work on telegram-bot itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything telegram-bot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vendelieu/telegram-bot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vendelieu/telegram-bot/master/.cursor/skills/bot-user/create-input-chain/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vendelieu/telegram-bot

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 503 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 5.1 $0.00000 $0.00503
Opus 5.5 $0.00000 $0.00201
Sonnet 5.5 $0.00000 $0.00101
Haiku 4.5 $0.00000 $0.00050

Measured 2mo ago against content hash 4173d4750d47, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-input-chain 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 2mo 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.

.cursor/skills/bot-user/create-input-chain/SKILL.md · 53 lines

What it actually says

Create Input Chain

Quick Start

Define a chain inside bot.setFunctionality { }. Set bot.inputListener[user] = "id" to start. The chain advances automatically after each step.

bot.setFunctionality {
    onCommand("/start") {
        message { "What's your name?" }.send(user, bot)
        bot.inputListener[user] = "conversation"
    }
    inputChain("conversation") {
        message { "Nice to meet you, ${message.text}!" }.send(update.getUser(), bot)
        message { "What's your favorite food?" }.send(update.getUser(), bot)
    }.breakIf({ message.text == "peanut butter" }) {
        message { "Oh, too bad, I'm allergic." }.send(update.getUser(), bot)
    }.andThen {
        message { "Thanks! You said: ${message.text}" }.send(update.getUser(), bot)
    }
}
bot.handleUpdates()

Structure

  • inputChain("id") { } — First step. Block runs when user sends a message while inputListener is "id".
  • andThen { } — Next step. Chain advances to this step after the previous block runs.
  • breakIf(condition, repeat = true, block) — On current step: if condition is true, run block. If repeat = true, stay on current step (user can re-enter). If repeat = false, do not re-register.

Context

Inside each block, ProcessingContext / ActivityCtx provides:

  • update — the ProcessedUpdate
  • message — shortcut for message content (when applicable)
  • update.getUser() — user reference

When to Use

  • Input chain: Simple linear flows, no typed state, quick setup
  • Wizard: Complex validation, typed state, Transition.JumpTo/Retry, state managers

Reference

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. 2mo ago First seen · 53 lines · 0 tokens per session scan A 4173d4750d47

Subscribe to this mod's changes

create-input-chain is a skill published in the GitHub repository vendelieu/telegram-bot (249 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 503 tokens. 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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