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DC flipper-zero

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: ElvisExMachina v1.0.0 MIT-0 15 files body ≈ 2 378 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

ProcedureInfrastructuretype 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
D
58/100
safety, quality, tests
Safety 60%
96
Quality 40%
0
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token scripts/proto/application_pb2.py:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x11\x61p…oto\x12\x06PB_App\"*\n\x0cS…est\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0c\n\x04\x61rgs\x18\x02 \x01(\t\"\x13\n
    quoted
  • low Secrets in code secret-high-entropy-token scripts/proto/flipper_pb2.py:34
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rflipper.proto\x12\x02PB\x1a\rstorage.proto\x1a\x0cs…oto\x1a\x11\x61p…oto\x1a\tgui.proto\x1a\ngpio.proto\x1a\x0epropert
    quoted
  • low Secrets in code secret-high-entropy-token scripts/proto/gui_pb2.py:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\tgui.proto\x12\x06PB_Gui\"K\n\x0bS…ame\x12\x0c\n\x04\x64\x61ta\x18\x01 \x01(\x0c\x12.\n\x0bo…ion\x18\x02 \x01(\x0e\x32\x19.PB
    quoted
  • low Secrets in code secret-high-entropy-token scripts/proto/system_pb2.py:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0cs…oto\x12\tPB_System\"\x1b\n\x0bP…est\x12\x0c\n\x04\x64\x61ta\x18\x01 \x01(\x0c\"\x1c\n\x0cP…nse\x12\x0c\n\x04\x64
    quoted

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2378 tokens

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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (10 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This skill is coherent for controlling a Flipper Zero, but it exposes powerful hardware and radio actions without enough enforced safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026