AD david-video-prompt
AI视频提示词创作技能。基于五维度思考框架与视频谱七要素体系，生成专业级视频分镜提示词。 支持单段与分段生成模式，内置角色卡、风格卡、关键帧锚点等一致性保障机制。 适用场景：(1) 创作AI视频生成提示词 (2) 编写视频分镜脚本 (3) 优化已有视频提示词 (4) 视频分段连贯性设计。 触发关键词：视频提示词、分镜、提示词、视频脚本、AI视频、生视频、video prompt、镜头语言、分镜脚本、视频分段。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureAI and agentsMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
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: 8. 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 49/100
- 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
- 40Consistency. Frontmatter name (david-video-prompt) differs from the folder (five-seven-videoprompt)
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Execution cost. Instruction body is 488 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 206: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This is a text-only skill for creating AI video prompts and storyboards, with only a minor risk of activating too broadly.
LLM: benign (high) · VirusTotal: · 28 May 2026