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 rules/vendelieu/telegram-bot/telegram-bot-handlinggit 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/rules/vendelieu/telegram-bot/telegram-bot-handling)<a href="https://agentmods.dev/rules/vendelieu/telegram-bot/telegram-bot-handling"><img src="https://agentmods.dev/badge/rules/vendelieu/telegram-bot/telegram-bot-handling.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 | $0.00000 | $0.00831 |
| Opus 5 | $0.00000 | $0.00415 |
| Sonnet 5 | $0.00000 | $0.00166 |
| Haiku 4.5 | $0.00000 | $0.00083 |
Grade A, and why
telegram-bot-handling 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telegram Bot Handling Architecture
Activity
Activity.kt is the interface for all handler functions.
- id: Unique identifier (hash of signature)
- qualifier: Qualified class name (or "functional" for DSL)
- function: Handler name
- invoke(context): Runs the handler with ProcessingContext
LambdaActivity: Runtime implementation used by FunctionalHandlingDsl. Wraps a suspend lambda.
KSP-generated Activity: Classes generated by ktnip from annotated functions; same interface.
WizardActivity
WizardActivity.kt extends Activity for multi-step wizard flows.
- Abstract: Concrete implementations generated by KSP from
@WizardHandlerclasses - steps: List of WizardStep; order defines flow
- start(ctx): Enters initial step, sets inputListener
- handleInput(ctx): Validates input, applies Transition (Next, JumpTo, Retry, Finish), persists state via WizardStateManager
- getStateManagerForStep(step, bot): Resolves state manager for step's store() return type
WizardStep: onEntry, validate -> Transition, store (optional), onRetry
WizardContext: user, update, bot; getState/setState/delState for step state (type-safe accessors generated by KSP).
Functional DSL vs Annotation Approach
Both approaches produce Activity instances and register them in ActivityRegistry. Same pipeline processes them.
Functional DSL
- Entry:
bot.setFunctionality { }orbot.handleUpdates()with functional block - FunctionalHandlingDsl:
onCommand,onInput,inputChain,common,onUpdate,whenNotHandled - Creates: LambdaActivity at runtime; registers via
registry.registerActivity,registerCommand,registerInput, etc. - FunctionalDSLUtils:
onMessage,onCallbackQuery, etc. — typed wrappers overonUpdate(UpdateType.X)for betterActivityCtx<MessageUpdate>inference
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 · 68 lines · 831 tokens per session scan A 28fc4ca1d08b
telegram-bot-handling is a cursor rule published in the GitHub repository vendelieu/telegram-bot (248 stars, last pushed 7d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 831 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.
Other cursor rules, from other repositories
architecture
这是一个把 Telegram 消息导入、导出到数据库中并提供搜索的服务。支持向量搜索和语义匹配，基于 OpenAI 的语义向量技术。.
events
When adding a new event, ensure all of the following are updated in one change.
backend-server
Cursor rule "backend-server" from groupultra/telegram-search, covering backend server (apps/server), bootstrap & lifecycle, http & websocket design, configuration & environment and error handling & observability.
client
Cursor rule "client" from groupultra/telegram-search, covering client adapters (packages/client), core runtime & bridge, events & type safety, pinia stores & composables and logging & error handling.
core
Cursor rule "core" from groupultra/telegram-search, covering core (packages/core), events & corecontext, database & drizzle, message resolvers & pipelines and error handling & logging.
frontend-web
Cursor rule "frontend-web" from groupultra/telegram-search, covering frontend (apps/web), routing, layouts & navigation, state & data fetching, ui, styling & ux and error handling & notifications.