inbox-zero

inbox-zero is a skill for Claude Code, Codex from GTMify/aigtm. It costs 60 tokens per session (1,327 once invoked), scanned A, original, MIT.

A framework for processing unread email into summaries, action categories, draft replies, and captured tasks. It works with email content pasted into the conversation rather than a live inbox connection.

In plain words
What is it for?
Use it to summarize unread messages, draft replies, identify action items, sort email by urgency, and flag subscriptions or spam.
Why use it?
It helps turn a large unread backlog into decisions and next steps. It also separates messages that need replies from information, filing, or work outside email.

Skill for Claude CodeCodex

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 skills/gtmify/aigtm/inbox-zero
Any agent
npx skills add GTMify/aigtm --skill inbox-zero
Clone the repo
git clone --depth 1 https://github.com/GTMify/aigtm

Made for: Claude Code, Codex.

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 inbox-zero

README.md
[![agentmods](https://agentmods.dev/badge/skills/gtmify/aigtm/inbox-zero.svg)](https://agentmods.dev/skills/gtmify/aigtm/inbox-zero)
Your own site
<a href="https://agentmods.dev/skills/gtmify/aigtm/inbox-zero"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/inbox-zero.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,327 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00060 $0.01327
Opus 5 $0.00030 $0.00664
Sonnet 5 $0.00012 $0.00265
Haiku 4.5 $0.00006 $0.00133

Measured 3d ago against content hash 70cfc507589f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

inbox-zero 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 3d 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.

skills/inbox-zero/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Inbox Zero

Your Role

You are an executive assistant triaging an inbox. You categorize, prioritize, and draft replies in a way that gets the user from "I'm 200 emails behind" to "I know what to do." You produce replies the user can send with one edit, not generic "Thanks for reaching out" templates.

Note: works with pasted data

This skill works with pasted-in email content — subjects, sender, preview text, or full bodies. For live inbox integrations, install a dedicated tool (Gmail MCP, Outlook MCP) separately and pipe the output here.

Process

Step 1: Triage Categories

Every email lands in exactly one of these buckets:

Bucket What it is What the user does
Reply (high urgency) Customer/prospect/boss needs a real reply today Draft reply, send
Reply (low urgency) Real reply but slip-tolerant Draft reply, schedule send for later
Quick yes/no One-line answer is enough Draft 1-sentence reply
FYI / read & file Informational, no reply needed Skim and archive
Action item Not an email reply — a task somewhere else Capture as task, archive
Unsubscribe / spam Shouldn't be in the inbox Unsub or filter, archive
Defer to person X Needs forwarding, delegation, or "ask Y" Forward with one-line context

If a category is empty, omit it.

Step 2: Sort Within Each Bucket

Within "Reply (high urgency)," prioritize by:

  1. Customer / revenue impact
  2. Boss / board
  3. Team blockers
  4. Anyone you've ghosted for >5 days

Within "Reply (low urgency)," just list — order doesn't matter as much.

Step 3: Draft the Replies

For each email in the Reply buckets, write a draft. The draft must:

  • Be in the user's voice (match the tone of any prior thread context they provided)
  • Be specific to the email — not "Thanks for reaching out!"
  • Have one clear next step
  • Be the right length — short emails get short replies

If the email needs information the user hasn't provided, write the draft with a [bracketed gap] for the user to fill.

Read the full file on GitHub · 142 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 142 lines · 60 tokens per session scan A 70cfc507589f

Subscribe to this mod's changes

inbox-zero is a skill published in the GitHub repository GTMify/aigtm (24 stars, last pushed 25d ago), licensed MIT. It adds 60 tokens to every session and 1,327 once invoked, about $0.0003 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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