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 ChenShuo2004/cs-skills --skill cs-auto-videlgit clone --depth 1 https://github.com/ChenShuo2004/cs-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/chenshuo2004/cs-skills/cs-auto-videl)<a href="https://agentmods.dev/skills/chenshuo2004/cs-skills/cs-auto-videl"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-auto-videl/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/chenshuo2004/cs-skills/cs-auto-videl"><img src="https://agentmods.dev/badge/skills/chenshuo2004/cs-skills/cs-auto-videl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 125 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 133 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00070 | $0.02213 |
| Opus 5.5 | $0.00028 | $0.00885 |
| Sonnet 5.5 | $0.00014 | $0.00443 |
| Haiku 4.5 | $0.00007 | $0.00221 |
Grade A, and why
cs-auto-videl 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 19d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
auto Videl
This is the user's local CS Auto Videl skill, invoked as $cs-auto-videl.
It runs Douyin/TikTok ecommerce information-feed video workflows. Use it when the user wants to analyze a benchmark short video, replace the product, generate actual storyboard images from prompt_image.md with image2, turn user-provided nine-frame storyboards into a final video, generate Seedance 2.0 prompts, prepare Gemini Omni or Google Flow/Veo first-frame-to-video packages, optionally submit Seedance API generation tasks with their own locally configured API key, or consolidate results into Feishu.
Platform Mode Selection
Before writing final video-generation deliverables, identify the target platform mode. If the user has not named a mode, ask which mode to use only when it changes the requested generation or final platform prompt. Reuse the platform already established in the session; platform-independent analysis can proceed:
seedance: Seedance/C端2.0 prompts, storyboard references, optional API dry-run or submission.gemini-omni: 8-second first-frame-to-video units with first-frame images and Gemini Omni prompts.google-flow: Google Flow/Veo first-frame-to-video units, normally 8 seconds each, with first-frame images, image prompts, video prompts, and optional voice/sound direction.prompt-only: no image/video generation; deliver scripts, storyboard prompts, and platform-ready text only.
If the user explicitly says $cs-auto-videl google-flow, Google Flow, Flow, Veo, Frames to Video, or 首帧转视频, load references/google-flow-mode.md and use Google Flow mode. For Google Flow mode, default to first-frame-to-video unless the user explicitly asks for another Flow feature. If the user asks for Google Flow but not the clip duration, use 8 seconds per clip unless they ask for a supported shorter duration.
Route Selection
Before starting, choose exactly one route from the user's input.
What ships with it
29 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.
- agents/openai.yaml 372 B
- references/copy-extraction.md 2.3 KB
- references/delivery-modes.md 4.1 KB
- references/feishu-fields.md 999 B
- references/google-flow-mode.md 5.4 KB
- references/grid-to-video-workflow.md 3.9 KB
- references/nine-grid-workflow.md 4.4 KB
- references/product-fidelity-gate.md 3.4 KB
- references/production-quality.md 6.9 KB
- references/prompts/00-prompt-image.md 15 KB
- references/prompts/01-video-breakdown.md 7.1 KB
- references/prompts/02-copy-extract.md 2.2 KB
- references/prompts/03-script-framework.md 4.7 KB
- references/prompts/04-replication-blueprint.md 9.5 KB
- references/prompts/05-copy-rewrite.md 2.2 KB
- references/prompts/06-storyboard-prompt.md 6.9 KB
- references/prompts/07-seedance-video-prompt.md 19 KB
- references/prompts/08-nine-grid-video-prompt.md 6.1 KB
- references/quality-checklist.md 9.9 KB
- references/replication-workflow.md 4.7 KB
- references/seedance-api.md 6.6 KB
- references/seedance-rules.md 5.3 KB
- references/workflow.md 4.2 KB
- scripts/extract_copy_review_frames.py 3.0 KB runs code
- scripts/seedance_submit.py 17 KB runs code
- tests/test_google_flow_contract.py 1.6 KB runs code
- tests/test_prompt_image_contract.py 1.1 KB runs code
- tests/test_route_contract.py 3.7 KB runs code
- tests/test_seedance_audio_contract.py 3.6 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.
- 19d ago Changed · -159 lines faef91a47ae7
- 1mo ago First seen · 244 lines · 70 tokens per session scan A c67751849688
cs-auto-videl is a skill published in the GitHub repository ChenShuo2004/cs-skills (204 stars, last pushed 18d ago), licensed MIT. It adds 70 tokens to every session and 2,213 once invoked, about $0.0003 per session on Opus 5.5. 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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