SKILLEMALL.ai

CD local-tts

文本转语音(TTS)。三条通道:edge-tts(微软神经网络语音,免费无需 key,15 个中文音色可用)、Azure Speech 官方 API(75 个中文音色全解锁,含晓秋/晓辰/HD/MAI,50 万字符/月免费)、pyttsx3(Windows SAPI 离线兜底)。当用户/agent 需要把文本转成语音文件(mp3/wav)、生成语音播报、配音、解锁被 edge-tts 封锁的音色时使用。

ClawHub Agent Skills author: Azrael Noah v1.1.0 MIT-0 8 files · 3 scripts body ≈ 1 521 tokens Open the sourceclawhub.ai↗ analyzed 9 d ago

文本转语音(TTS)。三条通道:edge-tts(微软神经网络语音,免费无需 key,15 个中文音色可用)、Azure Speech 官方 API(75 个中文音色全解锁,含晓秋/晓辰/HD/MAI,50 万字符/月免费)、pyttsx3(Windows SAPI 离线兜底)。当用户/agent…

As a process D 35/100 · Unfinished process — References files that are not bundled: scripts/keys.env

IntegrationAzureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: scripts/keys.env
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. 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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/keys.env

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/keys.env
  • 0Tools and files. 1 referenced file(s) missing: scripts/keys.env
  • 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
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1521 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)
  • +3Output format is not stated: the model decides each time
  • -225 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 203: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (4 code blocks)
  • +3All 3 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This TTS skill is purpose-aligned, but users should know cloud mode sends text to Microsoft services and the Azure helper appears broken as packaged.
LLM: benign (high) · VirusTotal: · 20 Sept 2026