SKILLEMALL.ai

BF novel2voice

小说文本或字幕文件 → 多角色有声书音频。 默认 Edge TTS(500+ 音色),可选 MiMo TTS。 自动角色识别、情感标注、音色分配、异步并发生成。 Use when user provides novel/story text or subtitle file (.srt/.ass) and asks for audiobook, audio drama, voice narration, or TTS generation. 触发词:有声书、朗读、配音、转语音、小说转音频、字幕转语音、TTS、多角色语音。

ClawHub Agent Skills author: jangviktor-web v0.1.0 MIT-0 15 files body ≈ 2 895 tokens Open the sourceclawhub.ai analyzed 2 d ago

小说文本或字幕文件 → 多角色有声书音频。 默认 Edge TTS(500+ 音色),可选 MiMo TTS。 自动角色识别、情感标注、音色分配、异步并发生成。 Use when user provides novel/story text or subtitle file (.srt/.ass) and asks…

As a process F 48/100 · Will not run — References files that are not bundled: references/mimo-tts-api.md, references/voice-catalog.md, references/edge-tts-annotation-guide.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: references/mimo-tts-api.md, references/voice-catalog.md, references/edge-tts-annotation-guide.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/mimo-tts-api.md
  • warning missing-ref reference to a missing file: references/voice-catalog.md
  • warning missing-ref reference to a missing file: references/edge-tts-annotation-guide.md
  • warning missing-ref reference to a missing file: references/generated-long-body.md
  • note frontmatter-key unknown frontmatter key "applyTo"

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: references/mimo-tts-api.md, references/voice-catalog.md, references/edge-tts-annotation-guide.md
  • 0Tools and files. 4 referenced file(s) missing: references/mimo-tts-api.md, references/voice-catalog.md, references/edge-tts-annotation-guide.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 80 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2895 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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

  • +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
  • -224 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 263: enough signal without eating the budget
  • +4Structure: 43 headings
  • +3Step-by-step instructions: 80 items
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill mostly matches its audiobook purpose, but it can send user text to remote TTS services and automatically use or persist API keys in ways users should review first.
LLM: suspicious (high) · 20 Jul 2026