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BF motion-video-maker

根据文本、脚本或 Markdown 生成结构化讲解动画视频，使用 Web 页面制作和预览 AE / PR 风格的动效。必须严格根据解说文本规划合理的动画播放与切换时间，先生成预览，只有在用户明确确认后才导出 mp4。适用于知识讲解、产品介绍、口播配套动画、字幕强化、步骤演示和数据解说视频。

ClawHub Agent Skills author: MrQ v1.0.0 MIT-0 45 files body ≈ 1 648 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 36/100 · Will not run — References files that are not bundled: assets/themes/*.json, assets/templates/*.json

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
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
64
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: assets/themes/*.json, assets/templates/*.json
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token package-lock.json:17
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
    quoted

Files scanned: 45. 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: assets/themes/*.json
  • warning missing-ref reference to a missing file: assets/templates/*.json

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: assets/themes/*.json, assets/templates/*.json
  • 0Tools and files. 2 referenced file(s) missing: assets/themes/*.json, assets/templates/*.json
  • 0Result and completion. Does not say what the result is
  • 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
  • 40Consistency. Frontmatter name (motion-video-maker) differs from the folder (motion-video-skill)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 102 steps
  • 100Execution cost. Instruction body is 1648 tokens
  • 100Running it twice. No mutating operations
  • low 15 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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
  • -39 of 20 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 102 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill is a local video-preview/export tool with optional user-confirmed TTS, and its sensitive behaviors are mostly disclosed and purpose-aligned.
LLM: benign (high) · VirusTotal: · 29 May 2026