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jilanfang

Bilibili AI Video Prompt Analyzer

by jilanfang · GitHub ↗ · v1.1.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install bilibili-video-prompt-analyzer
Description
Analyze Bilibili AI-generated videos to extract/reverse-engineer prompts for imitation and replication. Extracts frames, extracts subtitles, generates detail...
README (SKILL.md)

Bilibili AI Video Prompt Analyzer

Extract/reverse-engineer production-ready prompts from Bilibili AI-generated videos for imitation. Outputs detailed prompts in ComfyUI/Seedance format that can be used directly with minimal edits.

Workflow

  1. Download video: Get video from Bilibili URL using yt-dlp
  2. Extract subtitles: Extract soft or hard subtitles for voiceover reference/rewrite
  3. Extract frames: Extract frames at configurable FPS (default: 1 frame/second)
  4. Visual analysis: Analyze frame-by-frame to identify style, subjects, colors, composition, motion changes
  5. Structure output (ready for direct use):
    • Technical metadata (aspect ratio, duration, fps, model recommendation)
    • 2-3 keyframe prompts (most distinct compositions, ComfyUI comma format)
    • Scene sequence by story beat (timeline + prompt evolution)
    • Full video master prompt (overall style + theme)
    • Extracted subtitle text (for voiceover reference)

When to Use

Use this skill when:

  • You have a Bilibili link to an AI-generated video
  • You want to imitate the style and generate similar videos
  • You need production-ready prompts that work directly in Seedance/ComfyUI/Kling
  • You want to extract subtitles to reuse or rewrite the voiceover
  • You want keyframe + scene breakdown for multi-step generation

Don't use when:

  • The prompt is already in the video description (use agent-reach to extract directly)
  • It's a human-shot video not generated by AI

Sampling Strategy

FPS Use Case Recommendation
0.2 Long video (>5min), big scene changes Only key frames
1 Short video (\x3C1min) Default, one frame per second
2-5 Detailed motion analysis Slow morphing animations

Best practice: 1fps for short videos (\x3C1min) gives good granularity without redundancy. Most AI video evolution changes gradually, 1s interval captures the arc well.

Requirements

  • ffmpeg installed (for frame extraction and subtitle extraction)
  • yt-dlp installed (for video download)
  • Multimodal LLM support (for visual frame analysis)

Scripts

  • scripts/download-bilibili.sh \x3Curl> \x3Coutput-dir> - Download video from Bilibili URL
  • scripts/extract-frames.sh \x3Cvideo-file> \x3Coutput-dir> [fps] - Extract frames from video
  • scripts/extract-subtitles.sh \x3Cvideo-file> \x3Coutput-path> - Extract subtitles to text file (supports soft and hardsubs)

Output Format (Production-Ready)

1. Technical Metadata

Aspect Ratio: 9:16 (1080x1440)
Duration: 35 seconds
Frame Rate: 30 fps
Recommended Model: Seedance 2.0 / Kling AI / Runway Gen-3
Motion Type: Slow fluid morphing, seamless transformation

2. Keyframe Prompts (ComfyUI Format, comma-separated)

One detailed prompt for each most distinct keyframe:

masterpiece, best quality, 8k, ultra detailed, tiny glowing point of light in deep indigo mist, volumetric godray, soft atmospheric haze, vertical composition 9:16, surreal abstract, mindscape, glowing particles, deep blue purple color palette, ethereal, dreamlike, cinematic lighting

3. Scene Sequence Breakdown (by timeline beat)

Time Visual Description Prompt Addition
0s-8s Origin in void glowing point, mist, void
8s-18s Network growth fibers spreading, interconnected thought network

4. Full Video Master Prompt

Complete cohesive prompt capturing overall style, theme, pacing that can be used directly.

5. Extracted Subtitles

Clean text extracted for voiceover reference or rewrite.

Prompt Quality Guidelines

Output prompts follow Seedance/ComfyUI best practices:

  • Start with quality tokens: masterpiece, best quality, 8k, ultra detailed
  • Describe composition before style
  • Specify exact colors and lighting
  • Include aspect ratio and motion characteristics
  • Keep comma-separated format for direct copy-paste
Usage Guidance
The skill appears coherent and the scripts are readable; still review before use. Practical points: ensure ffmpeg/ffprobe and yt-dlp are installed and up-to-date; be aware yt-dlp --yes-playlist can download more than a single video if you pass a playlist URL; hardsub OCR is not implemented so embedded burned subtitles won't be extracted by this version; the analysis step requires a multimodal (vision-capable) model — the skill does not supply or request API keys, so confirm your agent/model supports image inputs. Also consider legal and ethical issues: extracting prompts to imitate others' AI-generated work may have copyright or terms-of-service implications. If you have any doubts, inspect and run the scripts in a sandboxed environment first.
Capability Analysis
Type: OpenClaw Skill Name: bilibili-video-prompt-analyzer Version: 1.1.1 The skill bundle provides a legitimate workflow for downloading Bilibili videos and extracting frames/subtitles for AI analysis. It uses standard command-line tools like yt-dlp and ffmpeg (scripts/download-bilibili.sh, scripts/extract-frames.sh, scripts/extract-subtitles.sh) in a transparent manner consistent with its stated purpose of reverse-engineering AI video prompts. No evidence of data exfiltration, malicious execution, or prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description ask for reverse-engineering prompts from Bilibili AI videos; required tools (yt-dlp, ffmpeg, ffprobe) and the three provided scripts directly support that purpose and are proportionate.
Instruction Scope
SKILL.md and scripts limit actions to downloading the provided URL, extracting frames and subtitles, and producing text prompts. The skill asks for 'multimodal LLM support' (i.e., a vision-capable model) but does not declare or request any external API keys — analysis will rely on the agent's model. One operational note: download script uses --yes-playlist, which may download whole playlists if given a playlist URL (not strictly a security issue but could be broader than the user intended). Hardsub OCR is explicitly not implemented.
Install Mechanism
Instruction-only skill with no install spec; scripts are small shell files (no archived downloads or third-party install URLs). This is low-risk from an install perspective.
Credentials
No environment variables, credentials, or config paths are requested. The scripts only operate on the user-supplied video path and output directories — there are no requests for unrelated secrets or system config.
Persistence & Privilege
always is false and the skill does not attempt to modify agent/system configuration or persist credentials. It writes only to the provided output directories.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install bilibili-video-prompt-analyzer
  3. After installation, invoke the skill by name or use /bilibili-video-prompt-analyzer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.1
Add subtitle extraction script (supports embedded soft subtitles). Output format updated to production-ready: technical metadata + keyframe prompts (ComfyUI comma format) + scene sequence breakdown + full master prompt + negative prompt. Detailed enough for direct use in Seedance/Kling/Runway with minimal edits.
v1.1.0
Add storyboard feature: split into shots by scene changes, generate per-shot prompts, improved sampling strategy
v1.0.0
Initial release: Download Bilibili videos, extract frames, analyze to reverse-engineer AI generation prompts
Metadata
Slug bilibili-video-prompt-analyzer
Version 1.1.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 3
Frequently Asked Questions

What is Bilibili AI Video Prompt Analyzer?

Analyze Bilibili AI-generated videos to extract/reverse-engineer prompts for imitation and replication. Extracts frames, extracts subtitles, generates detail... It is an AI Agent Skill for Claude Code / OpenClaw, with 177 downloads so far.

How do I install Bilibili AI Video Prompt Analyzer?

Run "/install bilibili-video-prompt-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Bilibili AI Video Prompt Analyzer free?

Yes, Bilibili AI Video Prompt Analyzer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Bilibili AI Video Prompt Analyzer support?

Bilibili AI Video Prompt Analyzer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Bilibili AI Video Prompt Analyzer?

It is built and maintained by jilanfang (@jilanfang); the current version is v1.1.1.

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