SKILLEMALL.ai

BF video-auto-generator

【2026增强版】基于AI自动生成视频内容。支持文本转视频、图文转视频、脚本自动生成+配音+字幕+剪辑全流程。集成edge-tts配音、ffmpeg自动化剪辑。当用户说"生成视频"、"制作视频"、"自动剪辑"、"批量生产视频"、"AI视频生成"、"做个短视频"时触发此技能。

ClawHub Agent Skills author: nh5gntnf78-oss v1.1.0 MIT-0 12 files body ≈ 2 701 tokens Open the sourceclawhub.ai analyzed 2 d ago

【2026增强版】基于AI自动生成视频内容。支持文本转视频、图文转视频、脚本自动生成+配音+字幕+剪辑全流程。集成edge-tts配音、ffmpeg自动化剪辑。当用户说"生成视频"、"制作视频"、"自动剪辑"、"批量生产视频"、"AI视频生成"、"做个短视频"时触发此技能。

As a process F 35/100 · Will not run — References files that are not bundled: scripts/generate_script.py, scripts/batch_render.py

GeneratorSoftware developmentMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/generate_script.py, scripts/batch_render.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 0. 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")
  • warning missing-ref reference to a missing file: scripts/generate_script.py
  • warning missing-ref reference to a missing file: scripts/batch_render.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/generate_script.py, scripts/batch_render.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/generate_script.py, scripts/batch_render.py
  • 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
  • 100Steps. 101 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2701 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 2 example trigger phrases
  • +3Description length 137: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 101 items
  • +4Has examples (15 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This video-generation skill uses expected media tools, but it needs Review because it can run local commands, write to Desktop, send text to external services, and includes a risky rendering path plus hardcoded promotional output.
LLM: suspicious (high) · VirusTotal: · 29 Jun 2026