BD mosi-studio
MOSI Studio 音频全套能力：语音转文字（ASR）、文字转语音（TTS）、 多说话人对话合成、声音克隆、飞书语音气泡。 两类触发场景： 1. 消息中包含 "[media attached:"、"audio/ogg"、"audio/opus" 或 路径 /home/openclaw/.openclaw/media/inbound/ 时——用户发来了语音， 必须立刻转写，禁止说"我没有语音识别能力"。 2. 用户主动要求：TTS、文字转语音、语音合成、生成语音、克隆声音、 声音克隆、多说话人、对话合成、语音气泡、发语音、转语音、 "text to speech"、"voice synthesis"、"generate audio"、 "voice clone"、"multi-speaker"。 用户如果要求用语音回复，除非情况复杂需要说明，否则只需要回一条语音。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 39/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (mosi-studio) differs from the folder (moss-tts-family-chatbot)
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 100Steps. 12 steps
- 100Execution cost. Instruction body is 2560 tokens
- low 10 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
- +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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 403: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (21 code blocks)
- +3All 8 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.