SKILLEMALL.ai

BB yummy-gen-voice

Use when the user wants to synthesise speech or text-to-speech (TTS) audio with Gemini through yummycli, including single-speaker narration, multi-speaker dialogue (up to 2 speakers), and listing available voices.

ClawHub Hermes author: yummysource v1.1.0 MIT-0 2 files body ≈ 1 597 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Use when the user wants to synthesise speech or text-to-speech (TTS) audio with Gemini through yummycli, including single-speaker narration, multi-speaker…

As a process B 70/100 · Nearly there — weak spots: running it twice, progress reporting

GeneratorSoftware developmentAI and agentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
B
70/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 213 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "install"

Process rating: all ten parameters 70/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 60Consistency. The Hermes dialect needs category and tags
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 21 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 1597 tokens
  • low 10 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 213: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
This TTS skill is mostly coherent, but it needs review because its shell command examples can mishandle user-provided text and it installs an unpinned executable dependency.
LLM: suspicious (medium) · VirusTotal: · 16 Sept 2026