AD qwb-cli
企微瓣 (Qiweiban) AI 平台 CLI 工具。提供语音合成、声音克隆、数字人视频生成、AI 对话、图片生成、瓣值管理等能力。 当用户需要"生成语音"、"合成语音"、"克隆声音"、"生成数字人视频"、"文字转语音"、"AI对话"、"生成图片"、 "文生图"、"图生图"、"查看瓣值"、"查消费记录"时触发。也适用于用户提到"企微瓣"、"qwb"、"qiweiban"时。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1658 tokens
- 100Running it twice. No mutating operations
- low 12 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
- +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
- +5Description quotes 3 example trigger phrases
- +3Description length 189: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (22 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: suspicious
This appears to be a real Qiweiban CLI guide, but its broad auto-triggering plus account login, local token storage, billable actions, and biometric media uploads need user review before installation.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026