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BF qstar-video-ecom

One-click AI product video generator for Chinese e-commerce, upgraded with advanced creation modes. Use it for classic one-click product videos, single-image fast starts, batch video variants, and natural-language revision requests for short-form commerce videos.

ClawHub Agent Skills author: hubtiger123 v1.3.1 MIT-0 5 files body ≈ 2 423 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 51/100 · Will not run — References files that are not bundled: /Users/tiger/.codex/skills/qstar-video-ecom/TEMPLATES.md

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
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: /Users/tiger/.codex/skills/qstar-video-ecom/TEMPLATES.md
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. 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: /Users/tiger/.codex/skills/qstar-video-ecom/TEMPLATES.md
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: /Users/tiger/.codex/skills/qstar-video-ecom/TEMPLATES.md
  • 0Tools and files. 1 referenced file(s) missing: /Users/tiger/.codex/skills/qstar-video-ecom/TEMPLATES.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 6 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 86 steps
  • 100Failures and branches. 10 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2423 tokens
  • 100Progress reporting. Reports progress
  • low 15 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

  • +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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 263: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 86 items
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed Chinese e-commerce video-generation workflow, with privacy and marketing-claim risks users should manage before using it.
LLM: benign (high) · VirusTotal: · 29 May 2026