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 djblack1209-coder/OpenClaw-Bot --skill bluebubblesgit clone --depth 1 https://github.com/djblack1209-coder/OpenClaw-BotWrote 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/djblack1209-coder/openclaw-bot/bluebubbles)<a href="https://agentmods.dev/skills/djblack1209-coder/openclaw-bot/bluebubbles"><img src="https://agentmods.dev/badge/skills/djblack1209-coder/openclaw-bot/bluebubbles/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/djblack1209-coder/openclaw-bot/bluebubbles"><img src="https://agentmods.dev/badge/skills/djblack1209-coder/openclaw-bot/bluebubbles.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00038 | $0.00849 |
| Opus 5.5 | $0.00015 | $0.00340 |
| Sonnet 5.5 | $0.00008 | $0.00170 |
| 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 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.
This is a copy
88% identical to bluebubbles — 19 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BlueBubbles Actions
Overview
BlueBubbles is OpenClaw’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 OpenClaw"
}
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.
- 1mo ago First seen · 132 lines · 38 tokens per session scan A 41a9218692a5
bluebubbles is a skill published in the GitHub repository djblack1209-coder/OpenClaw-Bot (5 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 849 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to bluebubbles, differing in 19 lines, and is treated as a copy.
Other skills, from other repositories
reskin
Author a NEW skin for the reskinnable-demo app. A skin is a self-contained domain plugin under src/skins/ / that implements the frozen Skin contract (src/shell/skin-contract.ts) to swap the app's entire experience — brand, theme, layout, pages, tools, data, and agent — as a live sales demo. Use when the user says "add…
trpc-router
Entry point for all tRPC skills. Decision tree routing by task: initTRPC.create(), t.router(), t.procedure, createTRPCClient, adapters, subscriptions, React Query, Next.js, links, middleware, validators, error handling, caching, FormData.
channels-setup
Use when a developer wants to build their first CopilotKit Channels agent and get it answering in Slack or Microsoft Teams: "set up a channel", "connect my agent to Slack", "get my agent into Teams", or starting from nothing and wanting a working channel end to end. Covers the whole path: inspecting or scaffolding the…
datamodel-code-generator
Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects.…
anarlog
Query Anarlog meetings, notes, summaries, transcripts, participants, action items, and recurring history, or import a local recording. Use when a user asks about their Anarlog meeting data or needs meeting context for another task.
frontend-feature
Build a new page, view, or data-driven feature in the Next.js frontend. Use when adding a route under the dashboard/marketing area, wiring UI to a backend endpoint, adding client state, or creating a localized page. Covers App Router, data fetching, Zustand stores, and i18n.