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Multi-Agent Create
by
focusailab
· GitHub ↗
· v1.1.0
· MIT-0
237
Downloads
1
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install multi-agent-create
Description
Create new OpenClaw agents and connect them to messaging channels (Telegram, Discord, Slack, Feishu, WhatsApp, Signal, Google Chat). Includes workspace scaff...
Usage Guidance
This skill mostly does what it says, but there are gaps and some risky instructions you should consider before installing:
- Do not paste bot tokens, app secrets, or service-account JSON contents into a chat with the agent unless you understand and accept that those values may be stored in conversation history or memory. Prefer using the CLI or editing openclaw.json directly with proper file permissions.
- The helper script creates workspaces and calls 'openclaw agents add' but does not actually write channel account entries into openclaw.json. Expect to manually update your gateway config (openclaw.json) with channel credentials and bindings, and inspect the backup file the script creates before applying changes.
- When asked for a filesystem path to a service account JSON, avoid sending the file contents over chat. If the agent needs the file, ensure the file is accessible only to trusted processes and consider performing configuration locally via the CLI instead of handing paths/contents to the agent.
- The skill owner is unknown and there is no homepage; if you plan to use this in production, review the openclaw.json edits you make, verify who will have access to stored tokens, and prefer manual credential provisioning or secure secret storage (vaults) over pasting secrets into chat.
If you can get answers to these: where channel credentials are stored after you paste them, whether the agent will persist secrets to disk, and an explicit step-by-step for how openclaw.json is modified, that would raise confidence.
Capability Analysis
Type: OpenClaw Skill
Name: multi-agent-create
Version: 1.1.0
The skill 'multi-agent-create' facilitates the setup of new AI agents and the collection of sensitive messaging platform credentials (e.g., Telegram tokens, Slack secrets). It utilizes shell execution via a local script (`scripts/setup-agent.sh`) and the `openclaw` CLI to perform file system operations, such as creating workspaces and backing up configurations. While these actions are directly aligned with the stated purpose and no evidence of intentional malice or data exfiltration was found, the use of shell/file access and the handling of high-value secrets meet the threshold for a 'suspicious' classification under the provided security guidelines.
Capability Assessment
Purpose & Capability
The skill's name and description match the included instructions and helper script: it scaffolds a workspace and calls openclaw CLI commands to register agents and prompt channel logins. However SKILL.md implies automatic configuration of the gateway config (adding channel account entries and bindings), while the included scripts only create workspace files and call 'openclaw agents add' — they do not update openclaw.json or write channel credentials. That is an inconsistency between claimed automation and actual implementation.
Instruction Scope
The instructions tell the agent to ask the user to paste sensitive credentials (bot tokens, app secrets) directly into the conversation and to provide a path to a service-account JSON file on the server. Accepting secrets via chat increases risk (they become part of conversation history and potentially agent memory). The skill also instructs running CLI commands that will access local config (openclaw.json) and run QR-based login flows — these are expected, but the guidance to 'send me the path to the JSON file on this server' could lead the agent to read arbitrary local files beyond its declared scope.
Install Mechanism
This is an instruction-only skill with no install spec; the only code included is a simple helper shell script shipped with the skill. No external downloads, package installs, or extracted archives are requested.
Credentials
The registry metadata declares no required env vars, which is coherent. But runtime behavior expects sensitive credentials (bot tokens, app secrets, and a service-account JSON path). Requesting these credentials is plausible for connector setup, but asking users to paste them into chat or to provide local file paths is higher-risk and not explicitly limited to the minimal set needed. The helper script does not consume or store those credentials, so there is ambiguity about where they will ultimately be stored — which increases concern.
Persistence & Privilege
The skill is not marked always:true and has default autonomous invocation settings. The helper script writes only to the user's OpenClaw state directory (default ~/.openclaw/workspace-groups) and makes a backup of openclaw.json; it does not modify other skills' configs or request system-wide privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-agent-create - After installation, invoke the skill by name or use
/multi-agent-create - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Add clawhub install, tags, interactive workflow
v1.0.0
Initial release with multi-channel support
Metadata
Frequently Asked Questions
What is Multi-Agent Create?
Create new OpenClaw agents and connect them to messaging channels (Telegram, Discord, Slack, Feishu, WhatsApp, Signal, Google Chat). Includes workspace scaff... It is an AI Agent Skill for Claude Code / OpenClaw, with 237 downloads so far.
How do I install Multi-Agent Create?
Run "/install multi-agent-create" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Multi-Agent Create free?
Yes, Multi-Agent Create is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Multi-Agent Create support?
Multi-Agent Create is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Multi-Agent Create?
It is built and maintained by focusailab (@joansongjr); the current version is v1.1.0.
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