untether: Instructions file for Gemini CLI

GEMINI.md

untether GEMINI.md is an instructions file for Gemini CLI from littlebearapps/untether. It costs 654 tokens per session, scanned A, original, MIT.

A set of project instructions for Untether, a Telegram bridge that lets people control coding agents from a phone or another device while the agents run on their computer.

In plain words
What is it for?
Working on Untether’s Python code, including agent runners, Telegram commands, message handling, progress tracking, JSONL parsing, linting, formatting, and tests.
Why use it?
It gives the agent the project’s programming conventions, architecture, testing expectations, and language rules so changes fit the existing codebase.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

This is littlebearapps/untether's own configuration. It tells Gemini CLI how to work on untether itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything untether configures →

Reuse

Borrowing it

Nothing to install: this file belongs to littlebearapps/untether. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/littlebearapps/untether/master/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/littlebearapps/untether

Made for: Gemini CLI.

Wrote this? Show the measurements

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README.md
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Per session 654 This file is loaded in full into every session.
When invoked 654 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00654 $0.00654
Opus 5.5 $0.00262 $0.00262
Sonnet 5.5 $0.00131 $0.00131
Haiku 4.5 $0.00065 $0.00065

Measured 18d ago against content hash c043887d7b51, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

untether GEMINI.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 18d 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.

GEMINI.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Untether — Gemini Instructions

Telegram bridge for AI coding agents. Control Claude Code, Codex, OpenCode, and Pi from your phone (Gemini CLI and Amp are deprecated) or any device — agents run on your machine in the background while you're away from the terminal. Features interactive permissions, voice input, cost tracking, and live progress streaming.

Website: https://untether.cc · Help centre (user docs, synced flat from docs/ on master): https://littlebearapps.com/help/untether/<file-stem>/

Stack & conventions

  • Python 3.12+, anyio for async, msgspec for JSONL parsing, structlog for logging
  • Ruff for linting/formatting, pytest + anyio for testing (80% coverage threshold)
  • Australian English in user-facing text (realise, colour, behaviour, licence)
  • Conventional commits: feat:, fix:, docs:, refactor:, test:, chore:

Architecture

Telegram <-> TelegramPresenter <-> RunnerBridge <-> Runner
                                       |
                                  ProgressTracker
  • Runners (src/untether/runners/) — engine subprocess managers
  • RunnerBridge (src/untether/runner_bridge.py) — connects runners to transport
  • TelegramPresenter (src/untether/telegram/bridge.py) — message rendering
  • Commands (src/untether/telegram/commands/) — Telegram command handlers
  • Schemas (src/untether/schemas/) — msgspec structs for JSONL decoding

Key rules

  • Runner 3-event contract: StartedEvent -> ActionEvent(s) -> CompletedEvent (always); Claude live sessions (#776) may follow it with TurnEvent(started) -> ActionEvent(s) -> TurnEvent(completed) segments, never a second CompletedEvent
  • Runner instances are shared across chats: bridge code reads the per-run RunStreamHandle, never runner.current_stream / runner.last_pid (#510)
  • Use EventFactory for event construction, never construct dataclasses directly
  • ALL Telegram writes go through TelegramOutbox (never call Bot API directly)
  • Callback data max 64 bytes (Telegram-enforced)
  • Use anyio (not raw asyncio), msgspec.Struct (not dataclasses for schemas)

Read the full file on GitHub · 54 lines

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. 18d ago Changed · +3 lines · +154 tokens per session c043887d7b51
  2. 1mo ago First seen · 51 lines · 500 tokens per session scan A 414e97fe7105

Subscribe to this mod's changes

untether GEMINI.md is an instructions file published in the GitHub repository littlebearapps/untether (74 stars, last pushed today), licensed MIT. It adds 654 tokens to every session, about $0.0026 per session on Opus 5.5. 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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