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BD tts-voice-ai

AI Text-to-Speech (TTS) 语音合成工具 - 支持中文/英文/日语/韩语/粤语多语言语音生成，语音克隆，AI配音。关键词: TTS, text to speech, 语音合成, 文字转语音, voice generator, AI voice, speech synthesis, 语音生成, 配音, dubbing, 朗读, 有声书, voice cloning, 语音克隆, MiniMax。使用场景：语音合成、文本转语音、有声内容创作、多语言配音、智能客服语音、语音播报、视频配音。

ClawHub Agent Skills author: jiachuan-1 v1.1.0 MIT-0 3 files body ≈ 870 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

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

GeneratorInfrastructuretype 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
78/100
safety, quality, tests
Safety 60%
91
Quality 40%
59
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 · 9

✓ No critical or high findings

Medium and low: 9
  • low Secrets in code secret-high-entropy-token SKILL.md:104
    High-entropy token-like string (may be an id, hash or a credential)
    | ttv-…pxR | 活泼吐槽 | 女声 |
  • low Secrets in code secret-high-entropy-token SKILL.md:105
    High-entropy token-like string (may be an id, hash or a credential)
    | ttv-…Z8C | 清爽阳光 | 男声 |
  • low Secrets in code secret-high-entropy-token SKILL.md:106
    High-entropy token-like string (may be an id, hash or a credential)
    | ttv-…VmM | 幽默大叔 | 男声 |
  • low Secrets in code secret-high-entropy-token SKILL.md:163
    High-entropy token-like string (may be an id, hash or a credential)
    python3 tts.py "这是一个有趣的故事" --voice ttv-…pxR
  • low Secrets in code secret-high-entropy-token tts.py:47
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "chinese_female_energetic": "ttv-…pxR",
    detector
  • low Secrets in code secret-high-entropy-token tts.py:48
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "chinese_male": "ttv-…Z8C",
    detector
  • low Secrets in code secret-high-entropy-token tts.py:49
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "chinese_male_humorous": "ttv-…VmM",
    quoted
  • low Secrets in code secret-high-entropy-token tts.py:76
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    ("chinese", "female", "young", "energetic"): "ttv-…pxR",
    detector
  • low Secrets in code secret-high-entropy-token tts.py:78
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ("chinese", "female", "middle"): "ttv-…lxO",
    quoted

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: AI Text-to-Speech (TTS) 语音合成工具 - 支持中文/英文/日语/韩语/粤语多语言语音生成，语音克隆，AI配音… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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
  • 50Steps. 2 steps
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 870 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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 254: enough signal without eating the budget
  • +4Structure: 20 headings
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: clean
This is a straightforward MiniMax text-to-speech skill, with normal privacy and consent cautions for remote TTS and cloned voice use.
LLM: benign (high) · VirusTotal: · 29 May 2026