SKILLEMALL.ai

BD senseaudio-let-claw-talk

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 会在 macOS 上启动常驻监听流程,默认优先使用内置 Swift 录音器减少 Python 音频依赖;用户语音通过 SenseAudio ASR 转文字,再发给 audioclaw agent,并用 SenseAudio TTS 或系统 say 读回结果。它保留可选的 WeSpeaker 后台服务和流式 TTS,但导出的默认配置不会依赖这些可选环境。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 v1.0.0 MIT-0 14 files · 2 scripts body ≈ 1 974 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
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: 13. 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 46/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 117 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1974 tokens
  • 100Running it twice. No mutating operations

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
  • -32 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 260: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 117 items
  • +4Has examples (28 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill does what it says: it runs a macOS always-listening voice assistant using SenseAudio, with expected microphone, network, local state, and optional voiceprint features.
LLM: benign (high) · VirusTotal: · 29 May 2026