Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add binggandata/bggg-skills --skill bggg-tiktok-readvideogit clone --depth 1 https://github.com/binggandata/bggg-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/binggandata/bggg-skills/bggg-tiktok-readvideo)<a href="https://agentmods.dev/skills/binggandata/bggg-skills/bggg-tiktok-readvideo"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-tiktok-readvideo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/binggandata/bggg-skills/bggg-tiktok-readvideo"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-tiktok-readvideo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00187 | $0.01815 |
| Opus 5 | $0.00093 | $0.00907 |
| Sonnet 5 | $0.00037 | $0.00363 |
| Haiku 4.5 | $0.00019 | $0.00181 |
Grade A, and why
bggg-tiktok-readvideo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BGGG TikTok ReadVideo
这个 skill 的原则很简单:不要让 Codex 直接“看 mp4”。先把视频拆成可读、可搜索、可执行的上下文,再让 Codex 做判断、剪辑规划和渲染。
核心脚本:
python3 bggg-tiktok-readvideo/scripts/analyze_video.py "/path/to/input.mp4"
只需要转写音轨时使用独立转写脚本:
python3 bggg-tiktok-readvideo/scripts/transcribe_video.py "/path/to/video-or-folder" --recursive --srt
脚本会创建:
bggg-tiktok-readvideo/projects/YYYYMMDD_slug/
├── raw/input.mp4
├── analysis/
│ ├── metadata.json
│ ├── transcript.txt
│ ├── transcript.srt
│ ├── scenes.json
│ ├── timeline.md
│ ├── contact_sheet.jpg
│ ├── keyframes/
│ ├── audio_events.json
│ ├── ocr.json
│ └── analysis_manifest.json
└── output/
└── edit_plan.template.json
Default Workflow
- Run
scripts/analyze_video.pybefore making any claim about the video content. - If the user only asks for transcription/ASR, run
scripts/transcribe_video.pyinstead of the full visual analysis pipeline. - Read
analysis/timeline.md,analysis/scenes.json,analysis/transcript.srt,analysis/audio_events.json, andanalysis/ocr.json. - Inspect
analysis/contact_sheet.jpgas the visual overview. Use individualanalysis/keyframes/frame_XXXX.jpgwhen a scene needs closer visual reading. - If the user asks for TikTok editing, write
output/edit_plan.jsonbefore rendering. - Render with
scripts/render_tiktok.pyonly after the edit plan exists.
Do not infer content from the filename, title, or folder name alone. The timeline and contact sheet are the source of truth.
Analyze Commands
Basic local analysis:
python3 bggg-tiktok-readvideo/scripts/analyze_video.py "/path/to/video.mp4"
Give the run a stable project name:
python3 bggg-tiktok-readvideo/scripts/analyze_video.py "/path/to/video.mp4" \
--slug product_qc_ugc
Faster visual-only pass:
python3 bggg-tiktok-readvideo/scripts/analyze_video.py "/path/to/video.mp4" \
--no-transcribe --max-frames 24
Use a specific whisper.cpp model:
python3 bggg-tiktok-readvideo/scripts/analyze_video.py "/path/to/video.mp4" \
--model small --language auto
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .gitignore 87 B
- evals/evals.json 2.6 KB
- LICENSE 1.0 KB
- projects/.gitkeep 0 B
- README_EN.md 3.6 KB
- README.md 3.5 KB
- references/source-projects.md 2.8 KB
- references/tiktok-editing.md 3.0 KB
- references/video-context-schema.md 4.2 KB
- references/whisper-merge-notes.md 1.6 KB
- references/whisper-transcription.md 1.9 KB
- scripts/analyze_video.py 34 KB runs code
- scripts/render_tiktok.py 11 KB runs code
- scripts/transcribe_video.py 9.7 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 209 lines · 187 tokens per session scan A d226fddd0c5d
bggg-tiktok-readvideo is a skill published in the GitHub repository binggandata/bggg-skills (594 stars, last pushed 1mo ago), licensed MIT. It adds 187 tokens to every session and 1,815 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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