BF mm-voice-maker
Enables voice synthesis, voice cloning, voice design, and audio post-processing using MiniMax Voice API and FFmpeg. Use when converting text to speech, creating custom voices, or processing/merging audio.
Enables voice synthesis, voice cloning, voice design, and audio post-processing using MiniMax Voice API and FFmpeg.
As a process F 43/100 · Will not run — References files that are not bundled: reference/voice_catalog.md
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
medium Exfiltration
net-redirectable-api-keyscripts/utils.py:14Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 7267 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: reference/voice_catalog.md
Process rating: all ten parameters 43/100
- 0Tools and files. 1 referenced file(s) missing: reference/voice_catalog.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
- 30Running it twice. 6 mutating operations with no state check
- 60Steps. 49 steps, 5 vague phrases
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 7267 tokens
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- low The response is described with custom markup (21 tags): a typed call is more reliable
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
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 204: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 49 items
- +4Has examples (18 code blocks)
- +4Reference files are cited in the instructions (10 of 10)
- +3All 9 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.