recipe-draft-email-from-doc

recipe-draft-email-from-doc is a skill for Claude Code from fakoli/fakoli-plugins. It costs 24 tokens per session (317 once invoked), scanned A, original, MIT.

A workflow for taking text from a Google Doc and using it as the body of a Gmail message. The document could contain an announcement, newsletter, or other prepared text.

In plain words
What is it for?
Use it to prepare an email from a document, choose recipients and a subject, and send plain-text or HTML-formatted content.
Why use it?
It avoids copying content between Google Docs and Gmail and provides a preview before the email is sent.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gws plugin — 94 skills, 15 commands, 11 agents shipped together

Good fit Use it to prepare an email from a document, choose recipients and a subject, and send plain-text or HTML-formatted content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fakoli/fakoli-plugins/recipe-draft-email-from-doc
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 fakoli/fakoli-plugins --skill recipe-draft-email-from-doc
Clone the repo
git clone --depth 1 https://github.com/fakoli/fakoli-plugins

Made for: Claude Code.

Or install gws, the plugin that ships this one along with the rest of its 94 skills, 15 commands, 11 agents.

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 recipe-draft-email-from-doc

README.md
[![agentmods](https://agentmods.dev/badge/skills/fakoli/fakoli-plugins/recipe-draft-email-from-doc/github.svg)](https://agentmods.dev/skills/fakoli/fakoli-plugins/recipe-draft-email-from-doc)
Your own site
<a href="https://agentmods.dev/skills/fakoli/fakoli-plugins/recipe-draft-email-from-doc"><img src="https://agentmods.dev/badge/skills/fakoli/fakoli-plugins/recipe-draft-email-from-doc/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.

agentmods 80×15 button for recipe-draft-email-from-doc

Your own site · 80×15
<a href="https://agentmods.dev/skills/fakoli/fakoli-plugins/recipe-draft-email-from-doc"><img src="https://agentmods.dev/badge/skills/fakoli/fakoli-plugins/recipe-draft-email-from-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 317 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.
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 $0.00024 $0.00317
Opus 5 $0.00012 $0.00159
Sonnet 5 $0.00005 $0.00063
Haiku 4.5 $0.00002 $0.00032

Measured 6d ago against content hash 0ab3d176438f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

recipe-draft-email-from-doc 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 6d 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.

plugins/gws/skills/recipe-draft-email-from-doc/SKILL.md · 55 lines

What it actually says

Draft a Gmail Message from a Google Doc

Read content from a Google Doc and use it as the body of a Gmail message.

When to Use

Use this workflow when the user has drafted content in a Google Doc (e.g., a newsletter, announcement, update) and wants to send it as an email.

Workflow

1. Get the document content

gws docs documents get --params '{"documentId": "DOC_ID"}' \
  --fields "body,title"

Extract the text content from the response body.

2. Preview the email

Show the user the extracted content and ask them to confirm:

  • To: recipient(s)
  • Subject: (suggest using the doc title)
  • Body: (the extracted content)

3. Send the email

Use --dry-run first:

gws gmail +send \
  --to [email protected] \
  --subject 'SUBJECT' \
  --body 'CONTENT_FROM_DOC' \
  --dry-run

Confirm with the user, then send.

Safety

  • Always --dry-run and confirm before sending
  • Verify the recipient list

Tips

  • For HTML-formatted emails, use --html instead of --body
  • The Doc API returns structured content — you may need to flatten it into plain text
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. 6d ago First seen · 55 lines · 24 tokens per session scan A 0ab3d176438f

Subscribe to this mod's changes

recipe-draft-email-from-doc is a skill published in the GitHub repository fakoli/fakoli-plugins (4 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 317 once invoked, about $0.0001 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 2026-09-03.

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