Borrowing it
Nothing to install: this file belongs to sergebulaev/telegram-channel-saver. 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/sergebulaev/telegram-channel-saver/main/CLAUDE.mdgit clone --depth 1 https://github.com/sergebulaev/telegram-channel-saverWrote 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/instructions/sergebulaev/telegram-channel-saver/claude-md)<a href="https://agentmods.dev/instructions/sergebulaev/telegram-channel-saver/claude-md"><img src="https://agentmods.dev/badge/instructions/sergebulaev/telegram-channel-saver/claude-md/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/instructions/sergebulaev/telegram-channel-saver/claude-md"><img src="https://agentmods.dev/badge/instructions/sergebulaev/telegram-channel-saver/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00923 | $0.00923 |
| Opus 5 | $0.00462 | $0.00462 |
| Sonnet 5 | $0.00185 | $0.00185 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
telegram-channel-saver CLAUDE.md 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 9d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telegram Channel Saver
Project Description
Telegram Channel Saver is a Python tool for saving and analyzing Telegram channel content. The application connects to Telegram API using user credentials, allows browsing and selecting channels/groups, and provides functionality to download and store messages, track users, and search through saved content.
Key Features
- Save channel messages with reactions and media information
- Track channel users and their activity
- Search through saved messages by text, date, or ID
- Support for multiple Telegram accounts
- Message download with rate limiting and error handling
- Detailed statistics about saved content
File Structure
/telegram-channel-saver/
├── LICENSE # MIT License
├── README.md # Project documentation
├── docs/
│ └── telethon.txt # Telethon library documentation
├── requirements.txt # Project dependencies
├── saver.py # Main application code
├── CLAUDE.md # Best practices and code guidelines
├── tools/ # Testing tools and utilities (Claude's workspace)
│ ├── venv/ # Separate virtual environment for tools
│ └── *.py # Test scripts and utilities
└── temp/ # Storage directory for data and sessions
└── channel_saver/ # Application data storage location
Claude AI Development Rules
API Documentation
- Always use context7 to get the most recent API documentation before implementing features
- Do not rely on training data for library APIs - fetch current docs via context7
- When working with Telethon, Telegram API, or any external library, query context7 first
Tools Directory
- Claude can create test tools and utilities in the
tools/directory - Use the separate venv located at
tools/venv/for running test scripts - Activate with:
source tools/venv/bin/activate - Install dependencies in tools venv:
tools/venv/bin/pip install <package> - Run tools with:
tools/venv/bin/python tools/<script>.py - Tools are for testing pipelines, debugging, and validating implementations
- Keep tools separate from main application code
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.
- 9d ago First seen · 116 lines · 923 tokens per session scan A cb6efb0d4519
telegram-channel-saver CLAUDE.md is an instructions file published in the GitHub repository sergebulaev/telegram-channel-saver (114 stars, last pushed 8mo ago), licensed MIT. It adds 923 tokens to every session, about $0.0046 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.