AD moss-ttsd
MOSI Studio 多人对话合成（moss-ttsd）：将多个角色的对话文本合成为 单段连续音频，多人声音自然交替。支持 1~5 个说话人。 触发词：多说话人、多人对话、对话合成、多个角色、多种声音、多个人说话、 "multi-speaker"、"dialogue synthesis"、"多人对话"。 在飞书渠道：合成完成后优先发送语音气泡，不要发文件附件， 不要只回文字说"已生成"。具体发送方法参见 mosi-tts skill 第 5 节。
As a process D 46/100 · 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.
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: 3. 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") - note
frontmatter-keyunknown frontmatter key "homepage"
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 (web) that frontmatter does not declare
- 100Steps. 4 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 706 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 226: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 4 items
- +4Has examples (4 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: clean
This skill is a straightforward MOSI Studio dialogue-to-speech helper, but users should expect their dialogue text to be sent to MOSI’s API.
LLM: benign (high) · VirusTotal: · 29 May 2026