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.
npx skills add fakoli/fakoli-plugins --skill recipe-save-email-to-docgit clone --depth 1 https://github.com/fakoli/fakoli-pluginsWrote 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.
[](https://agentmods.dev/skills/fakoli/fakoli-plugins/recipe-save-email-to-doc)<a href="https://agentmods.dev/skills/fakoli/fakoli-plugins/recipe-save-email-to-doc"><img src="https://agentmods.dev/badge/skills/fakoli/fakoli-plugins/recipe-save-email-to-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.
<a href="https://agentmods.dev/skills/fakoli/fakoli-plugins/recipe-save-email-to-doc"><img src="https://agentmods.dev/badge/skills/fakoli/fakoli-plugins/recipe-save-email-to-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00020 | $0.00338 |
| Opus 5 | $0.00010 | $0.00169 |
| Sonnet 5 | $0.00004 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
recipe-save-email-to-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 7d 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.
What it actually says
Save a Gmail Message to Google Docs
Save a Gmail message body into a Google Doc for archival or reference.
When to Use
Use this workflow when the user wants to preserve an email as a permanent document — for record-keeping, compliance, or easy sharing.
Workflow
1. Find the message
gws gmail users messages list \
--params '{"userId": "me", "q": "SEARCH_QUERY"}' \
--fields "messages(id)" --format table
2. Get the message content
gws gmail users messages get --params '{"userId": "me", "id": "MSG_ID"}'
Extract the subject, sender, date, and body text.
3. Create the document
gws docs documents create --json '{"title": "Saved Email - SUBJECT"}'
4. Write the email content
gws docs +write --document-id DOC_ID \
--text 'From: SENDER\nDate: DATE\nSubject: SUBJECT\n\nBODY_TEXT'
5. Provide the link
Give the user: https://docs.google.com/document/d/DOC_ID
Tips
- Include metadata (From, Date, Subject) at the top of the doc for context
- For HTML emails, extract the plain text version to avoid formatting issues
- Share the doc if others need access: use
gws drive permissions create
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.
- 7d ago First seen · 54 lines · 20 tokens per session scan A 3f0c448cad64
recipe-save-email-to-doc is a skill published in the GitHub repository fakoli/fakoli-plugins (4 stars, last pushed 5d ago), licensed MIT. It adds 20 tokens to every session and 338 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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