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 ericwang915/PythonClaw --skill emailgit clone --depth 1 https://github.com/ericwang915/PythonClawWrote 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/ericwang915/pythonclaw/email)<a href="https://agentmods.dev/skills/ericwang915/pythonclaw/email"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/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/ericwang915/pythonclaw/email"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/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 | $0.00062 | $0.00456 |
| Opus 5.5 | $0.00025 | $0.00182 |
| Sonnet 5.5 | $0.00012 | $0.00091 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
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
Email (SMTP)
When to Use
- Send emails through SMTP (Gmail, Outlook, custom server)
- Notifications, messages, or reports
- Emails with CC, BCC, or HTML body
- When user explicitly asks to "send an email"
When NOT to Use
- Reading or searching Gmail — use
google_workspacewith gog - Sending via Gmail API — use
google_workspacegmail send - Tasks that don't involve sending email
Setup
Configure in pythonclaw.json (or the Config dashboard):
"skills": {
"email": {
"smtpServer": "smtp.gmail.com",
"smtpPort": 587,
"senderEmail": "[email protected]",
"senderPassword": "your-app-password"
}
}
For Gmail, use an App Password.
Usage/Commands
python {skill_path}/send_email.py \
--to "[email protected]" \
--subject "Hello" \
--body "Message body here"
| Option | Description |
|---|---|
--to |
Recipient address (required) |
--subject |
Subject line |
--body |
Message body |
--cc "[email protected],[email protected]" |
CC recipients |
--bcc "[email protected]" |
BCC recipients |
--html |
Treat body as HTML |
Notes
- Always confirm before sending on behalf of the user
- For Gmail, App Password is required (not regular password)
- Credentials are read from
skills.emailinpythonclaw.json
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 · 66 lines · 62 tokens per session scan A bf74e46f2f0d
email is a skill published in the GitHub repository ericwang915/PythonClaw (45 stars, last pushed 10d ago), licensed MIT. It adds 62 tokens to every session and 456 once invoked, about $0.0002 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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