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 meitu/meitu-skills --skill video-stitchgit clone --depth 1 https://github.com/meitu/meitu-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/meitu/meitu-skills/video-stitch)<a href="https://agentmods.dev/skills/meitu/meitu-skills/video-stitch"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-stitch/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/meitu/meitu-skills/video-stitch"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-stitch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 Privilege Escalation · line 5 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 9 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 11 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 17 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 21 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00063 | $0.01929 |
| Opus 5.5 | $0.00025 | $0.00772 |
| Sonnet 5.5 | $0.00013 | $0.00386 |
| Haiku 4.5 | $0.00006 | $0.00193 |
Grade A, and why
video-stitch 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 2mo 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Stitch
Overview
调用 meitu video-stitch 对多段视频（≥2 段）做顺序拼接合并，覆盖 2 类：
- 纯拼接（保留原声）：
video_stitching，video_volume控制原声音量 - 拼接 + 配乐：
video_splicing_music，按prompt自动检索音乐；提供music_url时跳过检索直接使用自定义音乐
不支持自定义转场。不处理：单视频裁剪/调速、旁白配音、GIF 转换、视频风格变换。
API Mapping
| 场景 | 后端 API |
|---|---|
| 纯拼接保留原声 | video_stitching |
| 拼接 + 配乐（自动检索 / 自定义 music_url） | video_splicing_music |
Dependencies
- meitu-cli:
>=2.0.6 - 凭证：CONFIG AKSK →
meitu tools update；EXEC AKSK → 跑命令 - 环境变量：
MEITU_OPENAPI_TOOL_TASK_MODE=command
路径别名：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version≥ 2.0.6；meitu auth verify --json- 确认已跑过 Config Phase；
MEITU_OPENAPI_TOOL_TASK_MODE=command - output_dir 解析：openclaw.yaml →
./output/| else →$VISUAL/output/video-stitch/；mkdir -p {output_dir}
Execute
触发信号/路由
命中信号词：
video_stitching（纯拼接）：拼接、合并、拼在一起、不需要音乐、保留原声video_splicing_music（拼接+配乐）：拼接并配乐、合并加音乐、拼接+自定义音乐 URL
决策顺序：
video_list数量 <2 → 提示"拼接需要至少 2 段视频"- Agent 识别视频素材生成
prompt辅助路由 - 按配乐需求分支：
- 不需要音乐 / 有原声 →
video_stitching（默认） - 需要配乐（无
music_url）→video_splicing_music+prompt自动检索 - 需要配乐（有
music_url）→video_splicing_music+music_url跳过检索
- 不需要音乐 / 有原声 →
意图模糊（"拼接处理一下"）→ 默认走 video_stitching。
参数定义
通用：
| 参数 | 类型 | 必填 | 范围 | 默认值 | 说明 |
|---|---|---|---|---|---|
video_list |
ARRAY[STRING] | 是 | ≥2 个 | -- | 视频地址列表 |
prompt |
STRING | 是 | -- | "music" | 音乐检索关键词 / 素材描述 |
video_volume |
NUMBER | 否 | 0–2.0 | 1 | 视频原声音量 |
video_splicing_music 额外：
| 参数 | 类型 | 必填 | 范围 | 默认值 | 说明 |
|---|---|---|---|---|---|
music_url |
STRING | 否 | -- | -- | 自定义音乐 URL；存在时跳过 prompt 自动检索 |
canvas_flag |
NUMBER | 否 | 0 / 1 | 0 | 0=竖屏(9:16)，1=横屏(16:9) |
API 参数映射
video_stitching：video_list → video_list；video_volume → video_volume（直传）
video_splicing_music：video_list → video_urls；prompt → content；video_volume、music_url、canvas_flag 直传
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.
- 2mo ago First seen · 175 lines · 63 tokens per session scan A 184874166ece
video-stitch is a skill published in the GitHub repository meitu/meitu-skills (36 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 1,929 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.
video-stitch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-stitchmeitu/meitu-skills | Skill | 36 | 2mo ago | MIT | A | 63 | 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 |