AD MiniMax TTS Plus
MiniMax TTS skill (enhanced). Multi-agent voice support (each agent can select a unique voice written in SOUL.md), native voice message for Telegram (MP3) and Feishu (OGG/Opus). Activate when user explicitly requests text-to-speech. Say "文字模式" or "关闭语音" to stop voice generation. Note: This skill uses the MiniMax secret key for API authentication. The API endpoint is https://api.minimaxi.com (not platform.minimax.io). See setup section for details.
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 4
✓ No critical or high findings
Medium and low: 4
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low Exfiltration
exfil-webhook-urlscripts/tts-xiaoye.sh:179Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)RESPONSE=$(curl -s -X POST "https://api.telegram.org/bot${BOT_TOKEN}/sendVoice" \placeholder -
low Exfiltration
net-credential-usescripts/tts-xiaoye.sh:179Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)RESPONSE=$(curl -s -X POST "https://api.telegram.org/bot${BOT_TOKEN}/sendVoice" \vendor-host -
low Exfiltration
exfil-webhook-urlscripts/tts-xiaoye.sh:184Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)RESPONSE=$(curl -s -X POST "https://api.telegram.org/bot${BOT_TOKEN}/sendVoice" \placeholder -
low Exfiltration
net-credential-usescripts/tts-xiaoye.sh:184Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)RESPONSE=$(curl -s -X POST "https://api.telegram.org/bot${BOT_TOKEN}/sendVoice" \vendor-host
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 39/100
- 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
- 30Running it twice. 8 mutating operations with no state check
- 40Consistency. Frontmatter name (MiniMax TTS Plus) differs from the folder (minimax-tts-plus)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 10 steps
- 100Execution cost. Instruction body is 1239 tokens
- low 16 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
- +1No license
- +2Single-language instructions
- +3Description length 451: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (10 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.