SKILLEMALL.ai
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UIFlow2 MicroPython coding assistant. Use when writing, debugging, reviewing, or explaining UIFlow2 MicroPython code for M5Stack devices; when selecting M5Stack UIFlow2 APIs, imports, constructors, examples, display/UI patterns, hardware/unit/module drivers, or troubleshooting UIFlow2 runtime errors. Always consult the bundled official docs before generating code.

ClawHub Agent Skills author: Xuanwu Yun v1.0.13 MIT-0 80 files · 2 scripts body ≈ 2 453 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: assets/examples/widgets/hourglass_135x240.py, assets/examples/widgets/weather_135x240.py, assets/examples/m5ui/weather_320x240.py

AnalyzerSoftware developmenttype 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%
99
Quality 40%
79
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: assets/examples/widgets/hourglass_135x240.py, assets/examples/widgets/weather_135x240.py, assets/examples/m5ui/weather_320x240.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token docs/unit/dualbutton.md:27
    High-entropy token-like string (may be an id, hash or a credential)
    def dual…ent(state):  # noqa: N802

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/examples/widgets/hourglass_135x240.py
  • warning missing-ref reference to a missing file: assets/examples/widgets/weather_135x240.py
  • warning missing-ref reference to a missing file: assets/examples/m5ui/weather_320x240.py
  • warning missing-ref reference to a missing file: assets/examples/m5ui/hourglass_320x240.py
  • warning missing-ref reference to a missing file: assets/examples/

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/examples/widgets/hourglass_135x240.py, assets/examples/widgets/weather_135x240.py, assets/examples/m5ui/weather_320x240.py
  • 0Tools and files. 5 referenced file(s) missing: assets/examples/widgets/hourglass_135x240.py, assets/examples/widgets/weather_135x240.py, assets/examples/m5ui/weather_320x240.py
  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 60 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2453 tokens
  • low 14 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 366: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This appears to be a legitimate UIFlow2 coding helper, but its bundled examples include sensitive hardware, biometric, location, audio, and network behaviors without enough safety or privacy guidance.
LLM: suspicious (high) · 1 Sept 2026