AD mimo-v2-5-tts
MiMo V2.5 TTS 语音合成。使用小米 MiMo V2.5 TTS 系列模型生成语音。当需要将文字转为语音、发送语音消息、朗读内容、或用户要求「说出来」「语音回复」时激活此 skill。支持预置音色、音色设计、音色克隆三种模式，支持自然语言控制、导演模式，支持语气、情绪、方言的风格标签控制，预置音色支持唱歌。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
How to improve
- 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: 6. 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. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (mimo-v2-5-tts) differs from the folder (mimo-tts-wav)
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 26 steps
- 100Execution cost. Instruction body is 2673 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)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 159: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (10 code blocks)
- +3All 4 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This appears to be a real MiMo text-to-speech skill, but it needs review because it can upload voice samples for cloning and send audio messages through Feishu without strong consent or privacy safeguards.
LLM: suspicious (high) · 28 May 2026