AD ai-video-script
生成 AI 短视频脚本、镜头拆解、画面提示词、字幕文案与可直接进入视频生成测试的 prompt。用于把一个主题快速整理成可执行的视频方案，尤其适合：短视频选题、分镜脚本、AI 视频提示词、Yijia/Sora/Grok 文生视频测试、图生视频测试、爆款短视频结构化策划。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ReferenceAI 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: 5. 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 (ai-video-script) differs from the folder (ai-video-script-yijia-test)
- 100Tools and files. No external tools needed
- 100Steps. 48 steps
- 100Execution cost. Instruction body is 378 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 135: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This is a disclosed video-script and AI-video prompt helper with only minor usability and packaging notes.
LLM: benign (high) · VirusTotal: · 29 May 2026