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/christopher-buss/bedrock/beepboopgit clone --depth 1 https://github.com/christopher-buss/bedrockWrote 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/christopher-buss/bedrock/beepboop)<a href="https://agentmods.dev/commands/christopher-buss/bedrock/beepboop"><img src="https://agentmods.dev/badge/commands/christopher-buss/bedrock/beepboop.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 | $0.00008 | $0.00295 |
| Opus 5 | $0.00004 | $0.00148 |
| Sonnet 5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
beepboop 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
AI-Attributed Communication Command
Execute the user's requested task (e.g., posting PR comments, GitHub issue comments, or other communications through various MCPs), but frame the output with clear AI attribution.
Instructions
Arguments: $ARGUMENTS
IMPORTANT Communication Format:
-
Opening: Begin with "Beep boop, I am Claude Code 🤖, my user has reviewed and approved the following written by me:"
- Use italics for this line
- Clearly establishes AI authorship
-
Middle: Perform the requested task (post comment, create review, etc.)
- Execute whatever communication task the user requested
- Write the actual content that accomplishes the user's goal
-
Closing: End with "Beep boop, Claude Code 🤖 out!"
- Use italics for this line
- Provides clear closure
Purpose
This command ensures transparency about AI usage while maintaining that the user has reviewed and approved the content. It prevents offloading review responsibility to other users while being open about AI assistance.
Examples
- Posting a GitHub PR review comment
- Adding a comment to a GitHub issue
- Responding to feedback with AI-generated explanations
- Any communication where AI attribution is valuable
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 · 43 lines · 8 tokens per session scan A 66e6bf1fd39a
beepboop is a command published in the GitHub repository christopher-buss/bedrock (14 stars, last pushed 2d ago), licensed MIT. It adds 8 tokens to every session and 295 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 2026-09-01.
Other commands, from other repositories
cancel-ralph
Cancel active Ralph Loop.
setup-pm-skills
Onboard a new user — find out what they do, recommend the right bundles & top skills, and set up a project CONTEXT.md so every skill is tailored to them.
release
Perform a full release: generate release notes, bump version, commit, tag, and push.
statusbar-style
Switch the status-bar style (classic / capsule / hairline).
engage.actions
Execute Phase 7 - Actions on Objectives and Goal Achievement.
changelog
Generate a changelog for version $ARGUMENTS by analyzing git history.