architecture

architecture is a cursor rule for Cursor from groupultra/telegram-search. It costs 2,756 tokens per session, scanned A, original, AGPL-3.0.

A service for importing and exporting Telegram messages in a database, with text search and meaning-based search. Meaning-based search uses OpenAI-generated text vectors to find related messages.

In plain words
What is it for?
Use it to move Telegram messages into or out of a database and search them by words or meaning.
Why use it?
It keeps Telegram messages in a searchable database instead of making you search through chats manually. Meaning-based search can find related messages even when they do not use the exact same words.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/groupultra/telegram-search/architecture
Clone the repo
git clone --depth 1 https://github.com/groupultra/telegram-search

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.

agentmods badge for architecture

README.md
[![agentmods](https://agentmods.dev/badge/rules/groupultra/telegram-search/architecture.svg)](https://agentmods.dev/rules/groupultra/telegram-search/architecture)
Your own site
<a href="https://agentmods.dev/rules/groupultra/telegram-search/architecture"><img src="https://agentmods.dev/badge/rules/groupultra/telegram-search/architecture.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,756 This file is loaded in full into every session.
When invoked 2,756 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.02756 $0.02756
Opus 5 $0.01378 $0.01378
Sonnet 5 $0.00551 $0.00551
Haiku 4.5 $0.00276 $0.00276

Measured 3d ago against content hash 454cf96d3e7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

architecture 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 3d 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/rules/architecture.mdc · 344 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 3d ago First seen · 344 lines · 2,756 tokens per session scan A 454cf96d3e7c

Subscribe to this mod's changes

architecture is a cursor rule published in the GitHub repository groupultra/telegram-search (4,087 stars, last pushed yesterday), licensed AGPL-3.0. It adds 2,756 tokens to every session, about $0.0138 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.