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svdwalt007

OMA LwM2M Expert

by Sean van der Walt · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ Security Clean
83
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Install in OpenClaw
/install oma-lwm2m-expert
Description
OMA LwM2M (Lightweight Machine-to-Machine) protocol expert covering all specification versions (v1.0 through v2.0), the full object/resource data model, tran...
Usage Guidance
This skill is an instruction-only documentation/expert pack and appears coherent with its stated purpose. It does not request credentials or install code, so the immediate security risk is low. Before installing: (1) confirm you trust the skill author or the repository release you download from (README points to a GitHub repo), (2) understand the GPL-3.0 license in the manifest if you plan to redistribute or modify the content, and (3) remember the skill's guidance may become outdated—verify critical security or operational recommendations against official OMA/GSMA specifications and vendor docs before applying them in production. If you prefer fewer automatic activations, consider limiting when the agent can trigger this skill (the SKILL.md trigger list is very broad).
Capability Tags
cryptorequires-wallet
Capability Assessment
Purpose & Capability
The name/description (OMA LwM2M expert) matches the provided content: detailed SKILL.md and many large reference documents about LwM2M, transports, security, implementations and deployments. There are no unrelated environment variables, binaries, or config paths requested — nothing appears disproportionate to an LwM2M reference/assistant skill.
Instruction Scope
SKILL.md contains extensive trigger rules and detailed guidance for how the agent should respond (depth adaptation, spec citations, diagnostics). That is appropriate for a domain expert skill, but the trigger list is very broad — it will cause the skill to activate on many IoT-related queries. The instructions do not direct the agent to read local files, gather secrets, call unusual external endpoints, or perform actions outside answering questions from the knowledge corpus.
Install Mechanism
No install spec and no code files to execute — instruction-only. No downloads or archive extraction. The README describes manual placement into a skills folder, which is standard for instruction-only skills.
Credentials
The skill does not require any environment variables, credentials, or config paths. There are no declared secrets or privileged accesses, which is proportionate for a documentation/expert skill.
Persistence & Privilege
The skill is not marked always:true and uses platform-default autonomous invocation. It does not request persistent system-wide configuration changes or access to other skills' credentials/config. This is a normal privilege profile for a knowledge-only skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install oma-lwm2m-expert
  3. After installation, invoke the skill by name or use /oma-lwm2m-expert
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
uCIFI objects, NB API, OpenClaw install, troubleshooting cross-refs
Metadata
Slug oma-lwm2m-expert
Version 1.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is OMA LwM2M Expert?

OMA LwM2M (Lightweight Machine-to-Machine) protocol expert covering all specification versions (v1.0 through v2.0), the full object/resource data model, tran... It is an AI Agent Skill for Claude Code / OpenClaw, with 83 downloads so far.

How do I install OMA LwM2M Expert?

Run "/install oma-lwm2m-expert" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is OMA LwM2M Expert free?

Yes, OMA LwM2M Expert is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does OMA LwM2M Expert support?

OMA LwM2M Expert is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created OMA LwM2M Expert?

It is built and maintained by Sean van der Walt (@svdwalt007); the current version is v1.2.0.

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