Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.
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 skills/moltis-org/moltis/bluebubblesnpx skills add moltis-org/moltis --skill bluebubblesgit clone --depth 1 https://github.com/moltis-org/moltisWrote 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/moltis-org/moltis/bluebubbles)<a href="https://agentmods.dev/skills/moltis-org/moltis/bluebubbles"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/bluebubbles.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 | $0.00038 | $0.00846 |
| Opus 5 | $0.00019 | $0.00423 |
| Sonnet 5 | $0.00008 | $0.00169 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
bluebubbles 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 5d 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.
This is a copy
86% identical to bluebubbles — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BlueBubbles Actions
Overview
BlueBubbles is Moltis’s recommended iMessage integration. Use the message tool with channel: "bluebubbles" to send messages and manage iMessage conversations: send texts and attachments, react (tapbacks), edit/unsend, reply in threads, and manage group participants/names/icons.
Inputs to collect
target(preferchat_guid:...; also+15551234567in E.164 or[email protected])messagetext for send/edit/replymessageIdfor react/edit/unsend/reply- Attachment
pathfor local files, orbuffer+filenamefor base64
If the user is vague ("text my mom"), ask for the recipient handle or chat guid and the exact message content.
Actions
Send a message
{
"action": "send",
"channel": "bluebubbles",
"target": "+15551234567",
"message": "hello from Moltis"
}
React (tapback)
{
"action": "react",
"channel": "bluebubbles",
"target": "+15551234567",
"messageId": "<message-guid>",
"emoji": "❤️"
}
Remove a reaction
{
"action": "react",
"channel": "bluebubbles",
"target": "+15551234567",
"messageId": "<message-guid>",
"emoji": "❤️",
"remove": true
}
Edit a previously sent message
{
"action": "edit",
"channel": "bluebubbles",
"target": "+15551234567",
"messageId": "<message-guid>",
"message": "updated text"
}
Unsend a message
{
"action": "unsend",
"channel": "bluebubbles",
"target": "+15551234567",
"messageId": "<message-guid>"
}
Reply to a specific message
{
"action": "reply",
"channel": "bluebubbles",
"target": "+15551234567",
"replyTo": "<message-guid>",
"message": "replying to that"
}
Send an attachment
{
"action": "sendAttachment",
"channel": "bluebubbles",
"target": "+15551234567",
"path": "/tmp/photo.jpg",
"caption": "here you go"
}
Send with an iMessage effect
{
"action": "sendWithEffect",
"channel": "bluebubbles",
"target": "+15551234567",
"message": "big news",
"effect": "balloons"
}
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.
- 5d ago First seen · 135 lines · 38 tokens per session scan A 1afb3c97d20c
bluebubbles is a skill published in the GitHub repository moltis-org/moltis (2,845 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 846 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to bluebubbles, differing in 13 lines, and is treated as a copy.
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