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 LaohuAD/laohu-ai-visual --skill laohu-video-compilationgit clone --depth 1 https://github.com/LaohuAD/laohu-ai-visualWrote 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/laohuad/laohu-ai-visual/laohu-video-compilation)<a href="https://agentmods.dev/skills/laohuad/laohu-ai-visual/laohu-video-compilation"><img src="https://agentmods.dev/badge/skills/laohuad/laohu-ai-visual/laohu-video-compilation/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/laohuad/laohu-ai-visual/laohu-video-compilation"><img src="https://agentmods.dev/badge/skills/laohuad/laohu-ai-visual/laohu-video-compilation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00056 | $0.02278 |
| Opus 5.5 | $0.00022 | $0.00911 |
| Sonnet 5.5 | $0.00011 | $0.00456 |
| Haiku 4.5 | $0.00006 | $0.00228 |
Grade A, and why
laohu-video-compilation 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 1mo 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
17 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.
- references/Kling段内标签.md 2.8 KB
- references/MiniMax_H3段内标签.md 6.4 KB
- references/Seedance2视频提示词书写规范.md 36 KB
- references/三段式模型标签与引用映射.md 5.1 KB
- references/专业方法与案例.md 84 KB
- references/主观镜头与POV写法.md 8.1 KB
- references/光影画质审美特征资产.md 5.2 KB
- references/多模型AI视频提示词通用规范.md 6.7 KB
- references/构图与审美停点特征资产.md 2.7 KB
- references/模型正文语言审美特征资产.md 2.4 KB
- references/模板_视频提示词_基础设定氛围画面内容.md 79 KB
- references/视频不变骨架资产.md 5.4 KB
- references/视频提示词分层公式与三段映射.md 3.2 KB
- references/视频提示词机制与描述粒度.md 29 KB
- references/视频注意力与时间编译.md 5.1 KB
- references/镜内必答项与C方头字段.md 14 KB
- references/镜头特征取舍.md 5.0 KB
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.
- 1mo ago Changed · +11 lines · +13 tokens per session e58de395fde4
- 1mo ago Changed · +14 lines · +11 tokens per session 2277bb625b0f
- 1mo ago First seen · 31 lines · 32 tokens per session scan A 1dd0dab7beb3
laohu-video-compilation is a skill published in the GitHub repository LaohuAD/laohu-ai-visual (26 stars, last pushed 1mo ago), with no licence file. It adds 56 tokens to every session and 2,278 once invoked, about $0.0002 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 2026-09-12.
laohu-video-compilation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| laohu-video-compilationLaohuAD/laohu-ai-visual | Skill | 26 | 1mo ago | none | A | 56 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |