golembot AGENTS.md

golembot AGENTS.md is an instructions file for Codex, OpenCode from 0xranx/golembot. It costs 522 tokens per session, scanned A, original, MIT.

Repository instructions for 0xranx/golembot, covering its assistant context, installed skills, folders, and coding conventions. They explain how the bot handles everyday work, escalation, and messaging platforms.

In plain words
What is it for?
Use them when developing or debugging golembot, handling files or notes, managing memory and tasks, escalating sensitive requests, or formatting replies for chat platforms.
Why use it?
They give an agent the project rules and available capabilities before it makes changes or answers requests. This helps it follow the bot's routing and safety expectations.

Instructions file for CodexOpenCode

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 instructions/0xranx/golembot/agents-md
Clone the repo
git clone --depth 1 https://github.com/0xranx/golembot

Made for: Codex, OpenCode.

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 golembot AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/0xranx/golembot/agents-md.svg)](https://agentmods.dev/instructions/0xranx/golembot/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/0xranx/golembot/agents-md"><img src="https://agentmods.dev/badge/instructions/0xranx/golembot/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 522 This file is loaded in full into every session.
When invoked 522 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00522 $0.00522
Opus 5 $0.00261 $0.00261
Sonnet 5 $0.00104 $0.00104
Haiku 4.5 $0.00052 $0.00052

Measured 5d ago against content hash 57e4e63962d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

golembot 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 5d 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 · 19 lines

How it starts

The opening of the file, as written. The whole thing — 19 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assistant Context

Installed Skills

  • escalation: Escalate unresolvable or sensitive requests to a human agent by recording an escalation entry. Use when the user asks to speak to a human, the bot cannot answer confidently, the request involves financial, legal, or security concerns, a safety issue is detected, or the user is frustrated after repeated failures.
  • general: Handle everyday conversation, answer questions, manage files, take notes, run scripts, and maintain persistent memory across sessions. Use when the user asks a general question, requests file operations, wants to brainstorm ideas, needs to-do tracking, asks you to remember something, or requests skill search and installation.
  • im-adapter: Format responses for instant messaging platforms such as Lark, DingTalk, WeCom, Slack, and Telegram. Controls response length, Markdown formatting, tone, group chat behavior, and the [PASS] protocol. Also covers sending images and files to the chat via [SEND_IMAGE]/[SEND_FILE] markers when the user asks for a picture or file. Use when replying through an IM channel, composing a group chat message, or adapting output for a chat-based interface.
  • kb-guide: Search, read, create, and update knowledge base entries via MCP-connected KB tools. Use when the user asks to look up documentation, find existing articles, check if docs exist on a topic, create a new KB entry, update an existing document, or when domain questions should be answered from the knowledge base first.
  • message-push: Send proactive messages to IM groups or individual users via the gateway Send API. Use when the user says to send, post, notify, forward, or tell someone a message on Feishu, Slack, Telegram, Discord, DingTalk, or WeCom.
  • multi-bot: Coordinates responses between multiple GolemBot instances in a shared fleet. Use when the bot operates in a group chat with other bots, needs to decide whether to respond or pass, or must call a peer bot's API to fetch cross-domain data.
  • task-manager: Creates and manages scheduled tasks, cron jobs, recurring reminders, and timers via the Task HTTP API. Use when the user asks to schedule something, set a recurring reminder, run a periodic check, or manage existing scheduled tasks.

Read the full file on GitHub · 19 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. 5d ago First seen · 19 lines · 522 tokens per session scan A 57e4e63962d5

Subscribe to this mod's changes

golembot AGENTS.md is an instructions file published in the GitHub repository 0xranx/golembot (320 stars, last pushed 17d ago), licensed MIT. It adds 522 tokens to every session, about $0.0026 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.