codex-tg: Instructions file for Codex

AGENTS.md

codex-tg AGENTS.md is an instructions file for Codex, OpenCode from mideco-tech/codex-tg. It costs 2,868 tokens per session, scanned A, original, Apache-2.0.

A set of instructions for AI agents working on codex-tg, a Go service that uses Telegram to observe, control, approve, and route local Codex work. It explains the project's purpose, safety rules, and preferred development process.

In plain words
What is it for?
Use it when changing codex-tg. It guides agents through inspecting the design, tests, and documentation before editing, then validating changes through the same interfaces operators use.
Why use it?
It helps agents make small, evidence-based changes without exposing private information or making the Telegram control process harder to maintain.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md; mentions Codex.

This is mideco-tech/codex-tg's own configuration. It tells Codex and OpenCode how to work on codex-tg 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 codex-tg configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mideco-tech/codex-tg. 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/mideco-tech/codex-tg/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mideco-tech/codex-tg

Made for: Codex, OpenCode.

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Per session 2,868 This file is loaded in full into every session.
When invoked 2,868 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 $0.02868 $0.02868
Opus 5.5 $0.01147 $0.01147
Sonnet 5.5 $0.00574 $0.00574
Haiku 4.5 $0.00287 $0.00287

Measured 2mo ago against content hash 513fdfe8941f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-tg AGENTS.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 2mo 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.

AGENTS.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS

Purpose: help AI agents work on codex-tg without increasing complexity or weakening the operator-facing Telegram control loop.

Good code is code that is easy to understand, change, test, and safely extend. Good agent work is evidence-backed, small in scope, and validated through the same surfaces the operator uses.

Repository Purpose

codex-tg is a Go daemon evolving into a local Codex Control Plane. Telegram is the first production adapter for observing, steering, approving, and routing local Codex App Server work.

The repo is public-facing. Keep every change safe for open-source publication: no private paths, tokens, Telegram ids, local sessions, databases, logs, screenshots with private data, or environment-specific credentials.

Working Mode

  • First understand the current design. Read nearby code, tests, ADRs, and docs/testing/regression-map.md when it exists before editing.
  • Do not treat a vague request as enough context. Ask focused questions when requirements, constraints, or tradeoffs are unclear and cannot be discovered safely.
  • Prefer small steps: inspect -> plan -> test -> implement -> refactor -> validate.
  • Do not generate large rewrites, broad refactors, or speculative frameworks unless the task explicitly requires them.
  • Build what is needed now. Avoid adding libraries, build tools, abstractions, or cross-platform machinery without an immediate reason.
  • Match the current user's language for working plans, handoffs, and status updates when clear. Public README, wiki, demo, release notes, and GitHub-facing docs may stay English-first.

Agent Workflow Kernel

  • Do not start coding vague work. For unclear features, run alignment first: ask focused questions, lock goal, non-goals, UX, data, tests, and acceptance.
  • Feature work needs a destination before implementation: a short issue, feature brief, or equivalent written target.
  • Slice vertically. Prefer one small end-to-end behavior over horizontal phases such as storage first, daemon later, UI last.
  • Use TDD for non-trivial behavior changes and bug fixes: failing or updated test, minimal implementation, refactor, targeted checks.
  • Use fresh-context review for meaningful changes. The reviewer should inspect issue/brief, diff, tests, ADR/rules, and validation output, not the implementation chat.
  • Human/live QA remains required for Telegram-facing behavior when a live contour is available.
  • After compaction, context reset, or handoff, reread this file first, then pull only the docs called out by the Context Pull Map.

Read the full file on GitHub · 178 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. 2mo ago First seen · 178 lines · 2,868 tokens per session scan A 513fdfe8941f

Subscribe to this mod's changes

codex-tg AGENTS.md is an instructions file published in the GitHub repository mideco-tech/codex-tg (27 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 2,868 tokens to every session, about $0.0115 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.

Related

codex-tg AGENTS.md compared with instructions from other repositories

codex-tg AGENTS.md next to 6 instructions from other repositories
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