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/vendelieu/telegram-bot/create-input-chainnpx skills add vendelieu/telegram-bot --skill create-input-chaingit 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.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00046 | $0.00503 |
| Opus 5 | $0.00023 | $0.00251 |
| Sonnet 5 | $0.00009 | $0.00101 |
| Haiku 4.5 | $0.00005 | $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 4d 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.
- 4d 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 (248 stars, last pushed 7d ago), licensed Apache-2.0. It adds 46 tokens to every session and 503 once invoked, about $0.0002 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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