AB smallest-ai
Ultra-fast text-to-speech and speech-to-text via Smallest AI's Lightning v3.1 and Pulse models. Use when the user wants to generate speech, convert text to voice, read text aloud, create voice notes, transcribe audio to text, or clone a voice. Sub-100ms latency TTS. 64ms TTFT STT. Supports 30+ languages including Hindi and Spanish. Voices include sophia, robert, advika, vivaan, camilla, and 80+ more.
As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
How to improve
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Exfiltration
net-credential-usescripts/stt.sh:69Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)API_KEY="${SMALLEST_API_KEY:?Error: Set SMALLEST_API_KEY environment variable. Get yours at https://waves.smallest.ai}"vendor-hostquoted -
low Exfiltration
net-credential-usescripts/tts.sh:63Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)API_KEY="${SMALLEST_API_KEY:?Error: Set SMALLEST_API_KEY environment variable. Get yours at https://waves.smallest.ai}"vendor-hostquoted
Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 68/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Steps. 39 steps
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1268 tokens
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 403: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 39 items
- +3Output format is stated explicitly
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (1 of 3)
- +3All 5 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.