Skillget

Best-LwM2M-Agentic-Skills

skill
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: GPL-3.0
  • Description — Repository has a description
  • Active repo — Last push 6 days ago
  • Low visibility — Only 5 GitHub stars
Code Uyari
  • fs module — File system access in .claude/hooks/file-backup-hook.js
  • fs module — File system access in .claude/hooks/session-cleanup-hook.js
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This skill transforms AI assistants into senior IoT protocol engineers, providing deep expertise on the OMA LwM2M (Lightweight Machine-to-Machine) standard. It covers all protocol versions from v1.0 to v2.0, including security architecture, transport bindings, and implementation ecosystems.

Security Assessment
Overall Risk: Low. The tool does not request dangerous permissions, execute shell commands, or make external network requests. No hardcoded secrets were found. There are two minor warnings regarding file system access via the `fs` module in two local hook scripts (`file-backup-hook.js` and `session-cleanup-hook.js`). However, these appear to be standard local file management utilities rather than suspicious data exfiltration mechanisms.

Quality Assessment
The project is actively maintained, with its most recent code push occurring just six days ago. It is fully open-source and distributed under the standard GPL-3.0 license. However, community trust and visibility are currently very low. With only 5 GitHub stars, the tool has not yet been widely peer-reviewed or adopted by a broader audience.

Verdict
Safe to use, though you should quickly review the two file-system hook scripts before installing to ensure their local operations align with your environment's security policies.
SUMMARY

The world's most comprehensive OMA LwM2M (IoT) expert skill for Claude -- all versions v1.0-v2.0, full protocol stack, security, and ecosystem

README.md

Best OMA LwM2M Expert Skill for Claude, OpenClaw, OpenAI, ChatGPT, xAI, Gemini and more...

A comprehensive OMA LwM2M (Lightweight Machine-to-Machine) skill that turns Claude into a senior IoT protocol engineer — covering all specification versions from v1.0 (2017) through v2.0 (anticipated 2026), the complete object/resource data model, all transport bindings, security architecture, and the surrounding implementation ecosystem.

LwM2M Logo

What It Does

This skill gives Claude deep, standards-grounded expertise across the full OMA LwM2M ecosystem:

  • All versions: v1.0, v1.0.2, v1.1, v1.1.1, v1.2, v1.2.1, v1.2.2, v2.0 (anticipated)
  • Protocol stack: CoAP (RFC 7252), DTLS 1.2/1.3, TLS 1.2/1.3, OSCORE, SenML, CBOR
  • All interfaces: Bootstrap, Registration, DM&SE, Information Reporting
  • All transports: UDP, TCP, SMS, Non-IP (3GPP CIoT, LoRaWAN), MQTT, HTTP
  • Security: PSK, RPK, x509, EST, OSCORE, DTLS CID (RFC 9146), session persistence
  • Data model: Core objects (0-25), IPSO Smart Objects (3300+), OMNA registry, object versioning
  • Implementation: Wakaama, Leshan, Anjay, Californium, Zephyr LwM2M, DTLS library comparison
  • Deployment: Queue Mode, NB-IoT/LTE-M PSM, firmware update (FOTA), gateway architecture
  • Ecosystem: 3GPP CIoT integration, LoRaWAN, cloud platforms, industry verticals

Example Questions It Handles

Specification deep-dives:

"Walk me through how the Bootstrap-Pack-Request works in v1.2.2 and how it differs from client-initiated bootstrap."

Security architecture:

"Explain how DTLS CID (RFC 9146) solves the NAT rebinding problem for NB-IoT devices in PSM. Show the message flow."

Implementation guidance:

"What are the trade-offs between using mbedTLS vs TinyDTLS for a Wakaama-based client on nRF9161?"

Cross-version comparison:

"Compare the data encoding options across LwM2M versions — TLV, JSON, SenML-JSON, SenML-CBOR, LwM2M CBOR."

Deployment planning:

"We're deploying 50,000 NB-IoT water meters. Walk me through the LwM2M architecture — Queue Mode, DTLS CID, firmware update strategy, and lifetime/pmax tuning."

Object model design:

"How do I register a new LwM2M Object with the OMNA registry? What are the rules for reusable resources?"

Installation

Claude Desktop (Cowork)

  1. Download oma-lwm2m-expert.skill from Releases
  2. Open it — Claude will prompt you to install

Manual Install

Copy the oma-lwm2m-expert/ folder into your Claude skills directory:

~/.claude/skills/oma-lwm2m-expert/
├── SKILL.md
└── references/
    ├── versions.md
    ├── objects.md
    ├── protocol-details.md
    ├── security.md
    ├── implementations.md
    └── ecosystem.md

Claude Project

Upload the skill files to a Claude Project's knowledge base, or add the SKILL.md as a project instruction file with the references/ folder as supplementary files.

What's Inside

File Purpose
SKILL.md Main skill instructions — response patterns, 6 knowledge domains, when to web search
references/versions.md Detailed version-by-version breakdown (v1.0 → v2.0) with feature deltas
references/objects.md Complete core objects reference (0-25), IPSO Smart Objects, OMNA registry
references/protocol-details.md CoAP mapping, message flows, transport bindings, Wireshark patterns
references/architecture.md Complete protocol flows (Bootstrap/Registration/Observe/FOTA/SOTA), client HAL/PAL architecture, server architecture, NBI/hyperscaler integration, massive-scale IoT patterns, production checklist
references/security.md DTLS/TLS/OSCORE deep-dive, CID flow, credential provisioning, library comparison
references/implementations.md Open-source stacks (Wakaama, Leshan, Anjay), testing, interop notes
references/ecosystem.md Gateway, 3GPP CIoT, LoRaWAN, cloud platforms, industry verticals, v2.0 roadmap

Coverage

Specification Versions

Version Published Key Additions
v1.0 Feb 2017 Core protocol: Bootstrap, Registration, DM&SE, Observe, Queue Mode
v1.0.2 Feb 2018 Bug fixes and errata
v1.1 Jun 2018 TCP/TLS, Non-IP (3GPP CIoT, LoRaWAN), OSCORE, SenML
v1.1.1 Jun 2019 CBOR for single resources
v1.2 Nov 2020 MQTT, HTTP, Gateway, Composite ops, Send, LwM2M CBOR, DTLS CID
v1.2.1 Dec 2022 Interop clarifications
v1.2.2 Jun 2024 Bug fixes, editorial improvements
v2.0 2026 (est.) Profile IDs, delta FOTA, eSIM, edge computing proxy

Underlying RFCs

RFC Title LwM2M Role
RFC 7252 CoAP Application protocol
RFC 7641 CoAP Observe Notification mechanism
RFC 7959 CoAP Blockwise Large payload transfer
RFC 8323 CoAP over TCP/TLS/WS TCP transport binding
RFC 6347 DTLS 1.2 UDP transport security
RFC 9146 DTLS Connection ID NAT traversal for sleepy devices
RFC 9147 DTLS 1.3 Modern transport security
RFC 8613 OSCORE Application-layer security
RFC 8428 SenML Data encoding
RFC 8949 CBOR Binary encoding

Complementary Skills

This skill pairs well with:

  • 3GPP Expert Skill — For 3GPP radio access and core network context (NB-IoT, LTE-M, 5G CIoT)

Contributing

Contributions welcome! If you spot an inaccuracy, want to add coverage for a specific topic, or have suggestions:

  1. Open an issue describing the improvement
  2. Fork the repo and submit a PR
  3. Ensure all specification references are accurate (cite OMA-TS document and section)
  4. Use correct OMA/IETF terminology

License

MIT License — see LICENSE for details.

Built by Sean van der Walt — Walt Technologies

Yorumlar (0)

Sonuc bulunamadi