agentmailkit AGENTS.md

An AGENTS.md instruction file for setting up agentmailkit, a tool that sends scheduled email digests written by a language model from files on the user’s computer.

In plain words
What is it for?
Guiding agentmailkit installation and configuration, including required setup checks, compression of instructions, and reporting decisions, evidence, and blockers.
Why use it?
It gives coding agents setup rules, required questions, and a strict concise writing style so they configure the tool correctly without losing important information.

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/ariaxhan/agentmailkit/agents-md
Clone the repo
git clone --depth 1 https://github.com/ariaxhan/agentmailkit

Made for: Codex, OpenCode.

Per session 2,584 This file is loaded in full into every session.
When invoked 2,584 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 $0.02584 $0.02584
Opus 5 $0.01292 $0.01292
Sonnet 5 $0.00517 $0.00517
Haiku 4.5 $0.00258 $0.00258

Measured yesterday against content hash 420bda256ef9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentmailkit 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 270 lines

How it starts

The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agentmailkit: setup guide for coding agents


type: note status: active created: 2026-08-27

compression — mandatory

minimum text. zero meaningful loss.

  • default: bullets + fragments.
  • prose only when structure would lose meaning.
  • delete anything removable.
  • merge anything redundant.
  • shorten anything compressible.
  • never narrate work; report results, evidence, blockers, decisions.
  • preserve correctness, clarity, decisions, evidence, uncertainty, action.
  • length follows information. never pad; never omit.
  • between tool calls: silence by default. no preamble, no plan, no progress report.
  • one line only if it states a finding that changes what happens next. never intent.

before emitting:

  1. convert prose → bullets/fragments wherever lossless.
  2. delete every removable word, sentence, bullet, section, preamble, recap, transition, or explanation.
  3. repeat until further compression would lose meaning.

do not emit while removable text remains.

verbosity is a defect. omission is also a defect.

You are setting up agentmailkit for the person you are working with. It sends scheduled, LLM-written email digests that run on their machine, read their own files, and send from their own inbox.

Work through this top to bottom. It should take a few minutes and end with a real email in their inbox.


0. What this tool is, so you explain it correctly

A fixed pipeline, not an autonomous agent:

gather sources -> render prompt -> generate -> gate -> render theme -> deliver -> post

One JSON job spec plus one markdown prompt equals one email. The model writes only the words; the engine controls everything else, so the same job produces the same shaped email every run.

Do not describe it as an AI agent that manages their inbox. It does not read incoming mail, decide things, or take actions.


1. Ask these questions first

Do not skip this. Defaults produce a generic email nobody opens. Ask, then build to the answers. Ask them together, in one message, and keep it short.

Read the full file on GitHub · 270 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. yesterday First seen · 270 lines · 2,584 tokens per session scan A 420bda256ef9

Subscribe to this mod's changes

agentmailkit AGENTS.md is an instructions file published in the GitHub repository ariaxhan/agentmailkit (1 stars, last pushed 4d ago), licensed MIT. It adds 2,584 tokens to every session, about $0.0129 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 2026-08-31.