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AF techvideo-wizard-skill

Interactive video script wizard that guides users through a structured 6-step process to collect product video requirements and generate a professional video script in Markdown format. This skill should be used when users want to write a video script, need guidance on creating product demo or promotional videos, express intent like "help me write a XXX video script", "video script wizard", or when any task requires structured requirement gathering for video/multimedia content creation. Typical trigger examples include "帮我写个 SuperMap GIS 小视频的脚本", "帮我写个产品介绍视频的脚本", "视频脚本向导".

ClawHub Agent Skills author: 泥巴匠 v1.0.1 MIT-0 5 files body ≈ 3 380 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 51/100 · Will not run — References files that are not bundled: 链接

GeneratorMedia and videotype 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: 链接
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: 链接

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: 链接
  • 0Tools and files. 1 referenced file(s) missing: 链接
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 11 branches
  • 100Steps. 93 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3380 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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)
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 578: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 93 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
This is a video-script helper with disclosed web-search and file-output behavior, but users should avoid entering confidential launch or product details.
LLM: benign (high) · VirusTotal: · 29 May 2026