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 agentmods add commands/punt-labs/beadle/mailgit clone --depth 1 https://github.com/punt-labs/beadleWrote 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/commands/punt-labs/beadle/mail)<a href="https://agentmods.dev/commands/punt-labs/beadle/mail"><img src="https://agentmods.dev/badge/commands/punt-labs/beadle/mail.svg" alt="Measured on agentmods" 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 | $0.00007 | $0.00333 |
| Opus 5 | $0.00003 | $0.00167 |
| Sonnet 5 | $0.00001 | $0.00067 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
mail 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 4d 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
Input
Arguments: $ARGUMENTS
Task
Send an email. This is the email-specific outbound verb — it always means email.
Parse the arguments
The arguments describe what to mail and optionally to whom. Examples:
/mail me a summary— email a summary of the current conversation to the owner/mail this to [email protected]— email the current context to a specific recipient/mail me the test results— compose and send relevant content to the owner
Default recipient
If no recipient is specified, send to the owner. The send_email tool sends from beadle's configured address — ask the user for the recipient if it cannot be inferred from context.
Compose and send
- Compose the email content based on the arguments. Use plain text.
- Choose a clear, descriptive subject line.
- Call
send_emailwith the recipient, subject, and body.
The result is already formatted by a PostToolUse hook and displayed in the panel. Do not repeat or reformat the send confirmation.
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.
- 4d ago First seen · 35 lines · 7 tokens per session scan A cf8535982e27
mail is a command published in the GitHub repository punt-labs/beadle (3 stars, last pushed 4d ago), licensed MIT. It adds 7 tokens to every session and 333 once invoked, about $0.0000 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 2026-08-31.
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