send

A command for sending messages by email, with support for other channels planned later.

In plain words
What is it for?
Use it to send an email to yourself or a specified recipient.
Why use it?
It turns a plain-language request into an email with a suitable recipient, subject, and body.

Command

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.

agentmods
npx agentmods add commands/punt-labs/beadle/send
Clone the repo
git clone --depth 1 https://github.com/punt-labs/beadle
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 375 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00012 $0.00375
Opus 5 $0.00006 $0.00187
Sonnet 5 $0.00002 $0.00075
Haiku 4.5 $0.00001 $0.00038

Measured 2d ago against content hash d46a16d589ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

send 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 2d 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.

plugin/commands/send.md · 40 lines

What it actually says

Input

Arguments: $ARGUMENTS

Task

Send something to the user or a specified recipient via the best available channel. Today, email is the only channel. In the future, this command will support Signal and other channels.

Parse the arguments

The arguments describe what to send and optionally the channel. Examples:

  • /send me an email summary — send via email (explicit)
  • /send me a summary — send via email (default, only channel today)
  • /send this to [email protected] — send to a specific recipient via email

Default behavior

  • Default recipient: the owner (ask if unclear)
  • Default channel: email (the only channel currently available)

Compose and send

  1. Compose the content based on the arguments. Use plain text.
  2. Choose a clear, descriptive subject line.
  3. Call send_email with 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.

Future channels

When new channels are added (Signal, etc.), this command will route based on the via argument or infer the channel from context. For now, all sends go through email.

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. 2d ago First seen · 40 lines · 12 tokens per session scan A d46a16d589ce

Subscribe to this mod's changes

send is a command published in the GitHub repository punt-labs/beadle (3 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 375 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 2026-08-31.