SKILLEMALL.ai

AC reels-script-studio

15秒爆款短视频脚本生成器(数据增强版)。当用户需要生成用于抖音/视频号/小红书/B站/YouTube 等平台的 15秒(可扩展时长)竖屏短视频脚本时使用——涵盖产品种草、知识科普、剧情叙事、Vlog、测评对比、 热点评论六大类型。支持选项式交互(用户只需做选择题,无需写提示词)、专业运镜库(机械臂/子弹时间/ 推拉摇移/微距探针)、即梦/小云雀/Seedance/剪映四平台提示词适配,并内置数据驱动的爆款因子手册 (黄金3秒法则、五大爆款公式、四大共鸣情绪、七大共性规律、平台爆款率数据、转发钩子/BGM/本地标签策略, 均来自蝉妈妈/新榜 2025 实测),自带"越用越懂你"的自进化机制(evolution.json)。 也适用于"机械臂运镜脚本""AI视频提示词""爆款脚本""黄金3秒钩子""短视频涨粉"等请求。

ClawHub Agent Skills author: bbroot v3.5.0 MIT-0 8 files body ≈ 979 tokens Open the sourceclawhub.ai analyzed 2 d ago

15秒爆款短视频脚本生成器(数据增强版)。当用户需要生成用于抖音/视频号/小红书/B站/YouTube 等平台的 15秒(可扩展时长)竖屏短视频脚本时使用——涵盖产品种草、知识科普、剧情叙事、Vlog、测评对比、 热点评论六大类型。支持选项式交互(用户只需做选择题,无需写提示词)、专业运镜库(机械臂/子弹时间/…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureYouTubeMedia and videoAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 8. 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 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. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 979 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

  • +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
  • +5Description quotes 3 example trigger phrases
  • +3Description length 363: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This skill is a disclosed short-video script generator with local reference files and local preference tracking, with no evidence of network exfiltration, credential access, or destructive behavior.
LLM: benign (high) · VirusTotal: · 17 Jul 2026