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BD senseaudio-let-claw-talk-universal

当用户希望把 AudioClaw 变成一个持续监听、开口就说、停顿就回答的本机语音助手时使用。这个 skill 支持 macOS 和 Windows 两个平台：优先尝试 Python 录音链路，macOS 上再提供原生 Swift 录音兜底；用户语音通过 SenseAudio ASR 转文字，再发给 audioclaw agent，并用 SenseAudio TTS 或系统语音读回结果。它保留可选的 WeSpeaker 后台服务和流式 TTS，但默认导出配置会尽量减少平台专属依赖。适合免手打问答、桌面语音助理、连续语音控制和原型演示。

ClawHub Agent Skills author: Wu Ruixiao v1.0.1 MIT-0 17 files · 2 scripts body ≈ 2 959 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentInfrastructureAI and agentstype 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
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
41/100
Unfinished process
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 0

✓ No critical or high findings

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "summary"

Process rating: all ten parameters 41/100

  • 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. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (senseaudio-let-claw-talk-universal) differs from the folder (senseaudio-let-claw-talkv1)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 200 steps
  • 100Execution cost. Instruction body is 2959 tokens
  • 100Progress reporting. Reports progress

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
  • -33 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 270: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 200 items
  • +4Has examples (32 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This skill appears to be a genuine voice-assistant skill, but it needs Review because it can start a long-running microphone process that sends speech to cloud services and keeps local state without a strong first-run consent or retention story.
LLM: suspicious (high) · VirusTotal: · 29 May 2026