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 open-gitagent/gitagent --skill gmail-emailgit clone --depth 1 https://github.com/open-gitagent/gitagentWrote 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/open-gitagent/gitagent/gmail-email)<a href="https://agentmods.dev/skills/open-gitagent/gitagent/gmail-email"><img src="https://agentmods.dev/badge/skills/open-gitagent/gitagent/gmail-email/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/open-gitagent/gitagent/gmail-email"><img src="https://agentmods.dev/badge/skills/open-gitagent/gitagent/gmail-email.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00013 | $0.00241 |
| Opus 5.5 | $0.00005 | $0.00096 |
| Sonnet 5.5 | $0.00003 | $0.00048 |
| Haiku 4.5 | $0.00001 | $0.00024 |
Grade A, and why
gmail-email 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 1mo 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
Gmail Email Skill
Send emails via Gmail SMTP.
Setup
-
Enable 2-Factor Authentication on your Gmail account
-
Generate App Password:
- Go to https://myaccount.google.com/apppasswords
- Sign in to your Google account
- Select "Mail" and your device
- Generate password and save it
-
Configure credentials:
export GMAIL_USER="[email protected]" export GMAIL_APP_PASSWORD="your-16-char-app-password"Or create a
.envfile in the skill directory:[email protected] GMAIL_APP_PASSWORD=your-16-char-app-password
Usage
python3 scripts/send_email.py \
--to "[email protected]" \
--subject "Subject line" \
--body "Email body text"
Requirements
- Python 3.6+
- No additional packages needed (uses stdlib smtplib)
What ships with it
1 file 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.
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.
- 1mo ago First seen · 44 lines · 13 tokens per session scan A 50787164df92
gmail-email is a skill published in the GitHub repository open-gitagent/gitagent (717 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 241 once invoked, about $0.0001 per session on Opus 5.5. 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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