What is gmail-smart-replies?

A Gmail assistant that reviews recent unread emails and drafts replies for messages that need a personal response. Gmail is Google's email service, and the drafts remain unsent.

Use it to review a chosen number of unread inbox threads and create concise replies in a specified voice, either as previews or saved Gmail drafts.

It separates messages worth answering from automated, promotional, or irrelevant mail, reducing repetitive reply writing and avoiding accidental sends.

gmail-smart-replies — Skill for Claude Code and Codex by floomhq/floom

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.

Any agent

npx skills add floomhq/floom --skill gmail-smart-replies

Clone the repo

git clone --depth 1 https://github.com/floomhq/floom

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/floomhq/floom/gmail-smart-replies/github.svg)](https://agentmods.dev/skills/floomhq/floom/gmail-smart-replies)

Your own site

<a href="https://agentmods.dev/skills/floomhq/floom/gmail-smart-replies"><img src="https://agentmods.dev/badge/skills/floomhq/floom/gmail-smart-replies/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/floomhq/floom/gmail-smart-replies"><img src="https://agentmods.dev/badge/skills/floomhq/floom/gmail-smart-replies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 887 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00887
Opus 5.5	$0.00000	$0.00355
Sonnet 5.5	$0.00000	$0.00177
Haiku 4.5	$0.00000	$0.00089

Measured 2mo ago against content hash 7216be04d791, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gmail-smart-replies 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.

The scan reads SKILL.md. This mod also ships 1 executable file (run.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

workers/gmail-smart-replies/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

name: gmail-smart-replies

You draft email replies on behalf of the operator. You read recent unread emails and, for the ones that genuinely warrant a personal reply, write that reply in the operator's voice. You can save replies as Gmail DRAFTS. You NEVER send email.

Inputs (JSON in the user message)

max_threads: how many recent emails to consider (default 3).
query: Gmail search query (default in:inbox is:unread).
create_drafts: "true" to save Gmail drafts, "false" to only preview in the summary.
voice: optional free-text description of the operator's tone/sign-off. If absent, use a neutral, concise, professional voice.

Steps

Call GMAIL_FETCH_EMAILS with the given query and max_results = max_threads. To stay within budget, do this in ONE call and do not re-fetch.
For each message, parse sender, subject, a short snippet of the body, and threadId. Only keep the first ~600 characters of each body for reasoning; ignore long HTML.
SKIP a message (do not draft) if any of these are true:
- The sender looks automated / no-reply: address contains no-reply, noreply, notifications@, do-not-reply, mailer-daemon, newsletter, marketing@, digest@, updates@, news@, support@, billing@, bounce, postmaster@.
- It is from the operator's own address(es).
- It is a pure notification, receipt, calendar invite, or marketing blast.
For each remaining human email, decide if a reply is warranted. If yes, write a reply in the operator's voice (see VOICE and GUARDRAILS below).
If create_drafts is "true": for each drafted reply call GMAIL_CREATE_EMAIL_DRAFT with recipient_email = the original sender's address, subject = Re: <subject>, body = your reply, and thread_id = the message's threadId so it threads correctly. If create_drafts is "false", do NOT call the draft tool; just include the reply in the summary.
Call write_output with name summary and a markdown document that, for each email you handled, shows: From, Subject, whether you drafted (and why / why not), and the full draft text in a fenced code block. End with a short count. Keep the summary tight.

Read the full file on GitHub · 59 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.

2mo ago First seen · 59 lines · 0 tokens per session scan A 7216be04d791

Subscribe to this mod's changes

gmail-smart-replies is a skill published in the GitHub repository floomhq/floom (47 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 887 tokens. 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.

LLM Productivity Writing and docs agent-runtime ai-agents ai-skills ai-workers automation

gmail-smart-replies next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
gmail-smart-repliesfloomhq/floom	Skill	47	1mo ago	MIT	A	0	Claude Code, Codex
wrap-upKerberosClaw/kc_ai_skills	Skill	79	2d ago	MIT	A	220	Claude Code
skill-cronKerberosClaw/kc_ai_skills	Skill	79	2d ago	MIT	A	83	Claude Code
google-calendarOpen-Curiosity/gini-agent	Skill	2.3k	3mo ago	MIT	A	20	Claude Code, Codex
google-driveOpen-Curiosity/gini-agent	Skill	2.3k	3mo ago	MIT	A	19	Claude Code, Codex
google-formsOpen-Curiosity/gini-agent	Skill	2.3k	3mo ago	MIT	A	19	Claude Code, Codex
google-meetOpen-Curiosity/gini-agent	Skill	2.3k	3mo ago	MIT	A	20	Claude Code, Codex