safe-chat-slack-bot: Instructions file for Codex

AGENTS.md

safe-chat-slack-bot AGENTS.md is an instructions file for Codex, OpenCode from marcieltorres/safe-chat-slack-bot. It costs 1,605 tokens per session, scanned A, original, MIT.

A project guide for a Slack bot that detects Brazilian tax IDs, email addresses, and Brazilian phone numbers in messages and replies in the same thread.

In plain words
What is it for?
Use it when developing or testing privacy warnings for new or edited Slack messages, changing detection rules, configuring the bot, or adding translations.
Why use it?
It explains the project structure, setup, message-handling paths, configuration, and translation system so changes can be made in the right places.

Instructions file for CodexOpenCode

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

This is marcieltorres/safe-chat-slack-bot's own configuration. It tells Codex and OpenCode how to work on safe-chat-slack-bot 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 safe-chat-slack-bot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to marcieltorres/safe-chat-slack-bot. 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/marcieltorres/safe-chat-slack-bot/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/marcieltorres/safe-chat-slack-bot

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,605 This file is loaded in full into every session.
When invoked 1,605 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 $0.01605 $0.01605
Opus 5 $0.00803 $0.00803
Sonnet 5 $0.00321 $0.00321
Haiku 4.5 $0.00161 $0.00161

Measured 9d ago against content hash d6e8ebee250a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

safe-chat-slack-bot 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 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.

AGENTS.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents working on this repository. Human contributors should read CONTRIBUTING.md and README.md first — this file is the condensed, machine-facing version.

Project overview

SafeChat Slack Bot is a Slack bot (Slack Bolt, Socket Mode) that detects PII — Brazilian CPF, email addresses and Brazilian phone numbers — in channel messages and replies in-thread asking the author not to share sensitive data. Python 3.11, Poetry, Docker-first, i18n via gettext.

Repo layout

src/bot.py                              entrypoint: builds AsyncApp, starts AsyncSocketModeHandler
src/listeners/register.py               registers every listener
src/listeners/messages/regex_message.py new messages matching the compiled pattern
src/listeners/messages/message_changed.py  edited messages (subtype message_changed)
src/rules/constants.py                  the regex patterns
src/rules/pattern.py                    Pattern singleton: compiles the rules, find_all(text) -> int
src/config/settings.py                  settings.conf + ENV via ConfigParser
src/config/language.py                  gettext wrapper: language.translate(msgid)
src/locales/{en,pt_BR}/LC_MESSAGES/base.po  translations
tests/                                  mirrors src/

Setup

Prerequisites: Python 3.11, Docker + Docker Compose, gettext (provides msgfmt), Poetry.

  • make docker/install — recommended, and what CI runs.
  • make local/install — local Poetry install.

Both targets create .env from env.template if absent and compile the .mo files. .env and *.mo are gitignored and must stay that way — never commit either.

Commands

Task Docker (canonical) Local
install make docker/install make local/install
tests make docker/test make local/tests
lint make docker/lint make local/lint
lint + autofix make docker/lint/fix make local/lint/fix
run make docker/run make local/run
compile translations make generate-mo-files make generate-mo-files

Read the full file on GitHub · 130 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. 9d ago First seen · 130 lines · 1,605 tokens per session scan A d6e8ebee250a

Subscribe to this mod's changes

safe-chat-slack-bot AGENTS.md is an instructions file published in the GitHub repository marcieltorres/safe-chat-slack-bot (48 stars, last pushed 1mo ago), licensed MIT. It adds 1,605 tokens to every session, about $0.0080 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.

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