Create a Botpress AI agent with the ADK using OpenClaw
v1.0.1A guide to build AI bots with Botpress's Agent Development Kit (ADK)
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
Benign
high confidencePurpose & Capability
The name/description (ADK guide) matches the SKILL.md content: CLI usage, project layout, development and deployment guidance. The skill does not request unrelated credentials, binaries, or config paths.
Instruction Scope
The instructions stay within ADK development scope (init, link, dev, deploy, code patterns). They do instruct the user to run adk login/link which will create local agent.json and interact with Botpress Cloud; that is expected for the described workflow. The guide also suggests fetching GitHub reference files when needed.
Install Mechanism
There is no formal install spec in the package (instruction-only), but the SKILL.md recommends running a remote installer via curl | bash (and a PowerShell iex) from GitHub releases. The URL is a legitimate GitHub releases host (expected for a CLI), but executing remote install scripts is inherently risky — verify the script before running or use official release artifacts.
Credentials
The skill declares no required environment variables, credentials, or config paths. References to Botpress Cloud and local agent.json are proportionate to a tool that links local projects to a cloud service.
Persistence & Privilege
No special runtime privileges are requested: always is not set, model invocation is not disabled, and there is no install that would grant persistent system presence. As an instruction-only skill it does not place files or run code by itself.
Assessment
This skill is a coherent ADK development guide and doesn't itself require credentials or install software. Before following the install commands, manually inspect the installer script at the GitHub releases URL (avoid blindly running curl | bash or PowerShell iex). Be aware that linking to Botpress Cloud will create agent.json and require you to authenticate — treat any API keys or login credentials carefully and use a test workspace if you want to limit exposure. If you prefer, download release artifacts from the official GitHub releases page and install them manually rather than piping a remote script to your shell.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.