SKILLEMALL.ai

AD ai-video-script-generator

AI视频脚本生成器。输入主题和平台(抖音/小红书/B站),自动生成完整视频脚本,包括开场钩子、分镜设计、台词文案、BGM建议、封面文案。支持多种风格(干货/故事/测评/教程),记忆用户写作偏好并持续优化。当用户说"生成脚本"、"写视频文案"、"脚本模板"、"视频脚本"时触发此技能。

ClawHub Agent Skills author: nh5gntnf78-oss v1.0.2 MIT-0 3 files body ≈ 454 tokens Open the sourceclawhub.ai analyzed 3 d ago

AI视频脚本生成器。输入主题和平台(抖音/小红书/B站),自动生成完整视频脚本,包括开场钩子、分镜设计、台词文案、BGM建议、封面文案。支持多种风格(干货/故事/测评/教程),记忆用户写作偏好并持续优化。当用户说"生成脚本"、"写视频文案"、"脚本模板"、"视频脚本"时触发此技能。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description 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 (python) that frontmatter does not declare
  • 100Steps. 7 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 454 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 141: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (7 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a local video-script generator that saves generated drafts and style history on disk, which is disclosed and purpose-aligned but worth noting for privacy.
LLM: benign (high) · VirusTotal: · 7 Jul 2026