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.
curl -O https://raw.githubusercontent.com/vendelieu/telegram-bot/master/.cursor/skills/bot-user/create-input-chain/SKILL.mdgit clone --depth 1 https://github.com/vendelieu/telegram-botWrote 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.
[](https://agentmods.dev/skills/vendelieu/telegram-bot/create-input-chain)<a href="https://agentmods.dev/skills/vendelieu/telegram-bot/create-input-chain"><img src="https://agentmods.dev/badge/skills/vendelieu/telegram-bot/create-input-chain/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/vendelieu/telegram-bot/create-input-chain"><img src="https://agentmods.dev/badge/skills/vendelieu/telegram-bot/create-input-chain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
inputListeneris"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). Ifrepeat = false, do not re-register.
Context
Inside each block, ProcessingContext / ActivityCtx provides:
update— the ProcessedUpdatemessage— 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
- InputChainBuilder.kt
- README.md — inputChain example
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.
- 2mo ago First seen · 53 lines · 0 tokens per session scan A 4173d4750d47
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.
create-input-chain compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| create-input-chainvendelieu/telegram-bot | Skill | 249 | yesterday | Apache-2.0 | A | 0 | Cursor |
| telegram-botclaude-office-skills/skills | Skill | 563 | 9mo ago | MIT | A | 19 | Claude Code, Codex |
| observe0xHoneyJar/loa-freeside | Skill | 7 | 1mo ago | none | A | 23 | Claude Code |
| observe0xHoneyJar/loa-freeside | Skill | 7 | 1mo ago | none | A | 23 | Claude Code |
| langbot-devlangbot-app/LangBot | Skill | 19k | yesterday | Apache-2.0 | A | 136 | Claude Code, Codex |
| bf-to-agents-sdk-typescript-migrationmicrosoft/Agents | Skill | 1.1k | yesterday | MIT | A | 71 | Claude Code |
| vellum-oauth-integrationsvellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 25 | Claude Code, Codex |