SKILLEMALL.ai
GitHub ↗ RU Sign in

AC lora-cad-scanner

LoRa Channel Activity Detection (CAD) scanner for LilyGo T3 v1.6 (ESP32-PICO-D4 + SX1276) with HackRF One support. Scans a configurable frequency range using multiple BW/SF combinations, displays live progress on the SSD1306 OLED, stores detected channels in device RAM, emits structured 15-minute reports over Serial, and sends Telegram notifications for new detections via an OpenClaw cron pipeline. Use when scanning for LoRa devices in a frequency band, setting up a LilyGo T3 as a LoRa scanner/sniffer, building RF monitoring pipelines with Telegram alerting, or doing RF reconnaissance with HackRF + LilyGo together.

ClawHub Agent Skills author: Andrey Arsatyants v1.0.5 MIT-0 9 files body ≈ 1 284 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerTelegramInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
97
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Dangerous commands cmd-background-process README.md:201
      Starts a background / autostarted process (documentation of a security skill)
      nohup python3 scripts/lora_monitor.py >> lora_monitor.log 2>&1 &
      security skill
    • low Dangerous commands cmd-background-process references/setup.md:54
      Starts a background / autostarted process (documentation of a security skill)
      nohup python3 lora_monitor.py > lora_monitor.log 2>&1 &
      security skill
    • low Dangerous commands cmd-background-process SKILL.md:52
      Starts a background / autostarted process (documentation of a security skill)
      nohup python3 scripts/lora_monitor.py > lora_monitor.log 2>&1 &
      security skill

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 25 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1284 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • -31 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 622: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    This is a coherent LoRa monitoring skill, but it captures raw radio packets and identifiers, stores them locally, and can forward them to Telegram, with broader RF reconnaissance guidance than most users would expect.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026