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BD ai-video-script-writer

中文短视频脚本写作助手。针对抖音、小红书、B站、快手等平台，生成高完播率的短视频脚本。 **当以下情况时使用此 Skill**: (1) 需要写短视频脚本/文案 (2) 用户提到"脚本"、"短视频文案"、"抖音文案"、"小红书文案" (3) 需要视频选题建议或热点选题 (4) 需要优化视频开头/钩子（hook） (5) 需要把长内容裁剪成短视频脚本 (6) 用户提到"完播率"、"开头3秒"、"视频脚本"、"分镜" (7) 摩旅/vlog/探店/教程类内容创作

ClawHub Agent Skills author: VelenGao v1.0.0 MIT-0 6 files body ≈ 459 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
49/100
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

The same skill appears in 1 more place: ClawHub

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: 6. 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 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-writer) differs from the folder (short-video-script-writer)
  • 100Tools and files. No external tools needed
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 459 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
  • -214 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 232: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (4 code blocks)

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

External checks

ClawHub: clean
This skill is a short-video script writing helper, and the artifacts show no malware, credential use, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026