AC prompt-bozo
AI绘画与AI视频制作的提示词生成助手。支持文生图、图生图、文生视频、图生视频、首尾帧视频等多种生成模式的提示词构建。当用户需要生成AI绘画或视频提示词时使用，包括：人物设定、环境场景、发型设计、姿势摆拍、地理位置、镜头运镜、构图视角等参数化提示词生成。支持中式风格、古风、汉服、中国风等传统美学元素。适用于即梦AI、BizyAir、Midjourney、Stable Diffusion等AI绘画/视频工具。
As a process C 53/100 · Has gaps — 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
- 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: 9. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 75 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1033 tokens
- 100Running it twice. No mutating operations
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 205: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 75 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This is a prompt-writing skill for AI image and video generation, with no evidence of hidden execution, data access, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026