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-to-gifgit 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-to-gif)<a href="https://agentmods.dev/skills/meitu/meitu-skills/video-to-gif"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-to-gif/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-to-gif"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-to-gif.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 | $0.00066 | $0.01611 |
| Opus 5.5 | $0.00026 | $0.00644 |
| Sonnet 5.5 | $0.00013 | $0.00322 |
| Haiku 4.5 | $0.00007 | $0.00161 |
Grade A, and why
video-to-gif 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video To GIF
Overview
调用 meitu video-to-gif 将已有视频转换为 GIF 动图，覆盖 2 类：
- 普通 GIF：
api_video_to_gif，等比例 GIF，长边 ≤480px，适用于微信表情包、社交动图 - 透明底 GIF：
api_convert_video_to_gif，固定 240×240px 透明底，适用于透明贴纸、浮动表情
尺寸不可自定义。不处理：图片转 GIF、GIF 转视频、GIF 编辑、视频拼接、视频配音、视频风格变换。
API Mapping
| 场景 | 后端 API |
|---|---|
| 普通 GIF | api_video_to_gif |
| 透明底 GIF | api_convert_video_to_gif |
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-to-gif/；mkdir -p {output_dir}
Execute
触发信号/路由
命中信号词：
api_video_to_gif（普通）：转 GIF、做表情包、动图、GIF 转换（无透明需求）api_convert_video_to_gif（透明底）：透明底 GIF、透明贴纸、浮动表情、透明背景 GIF
决策顺序：
- Agent 画面识别视频内容生成
prompt（如"人物在纯色背景前做表情""猫咪在户外奔跑"） - 按透明底需求分支：
- 需要透明背景（用户明确要求 + 纯色/绿幕/简单背景）→
api_convert_video_to_gif - 否 / 通用 →
api_video_to_gif（默认）
- 需要透明背景（用户明确要求 + 纯色/绿幕/简单背景）→
无法判断 → prompt 写"通用视频"走默认 api_video_to_gif。
参数定义
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
video_url |
STRING | 是 | 视频地址；缺失 → "请提供视频链接" |
prompt |
STRING | 是 | Agent 对视频内容的描述，用于判断 GIF 类型 |
API 参数映射
两路 API 均直传 video_url：
api_video_to_gif→ 输出等比例 GIF，长边 ≤480pxapi_convert_video_to_gif→ 输出 240×240px 透明底 GIF
工具调用
普通 GIF：
meitu video-to-gif \
--skill_name skill_video-to-gif \
--video_url {video_url} \
--prompt "{content_description}" \
--json --download-dir {output_dir}
透明底 GIF：
meitu video-to-gif \
--skill_name skill_video-to-gif \
--video_url {video_url} \
--prompt "{content_description}" \
--transparent true \
--json --download-dir {output_dir}
错误降级
| 场景 | 处理 |
|---|---|
video_url 缺失 |
提示"请提供视频链接" |
video_url 不可访问 |
直接返回无效错误，不重试 |
| 用户要透明底但视频无透明通道 | 尝试调用透明 API，效果不佳则提示限制 |
| 用户要 >480px 的 GIF | 告知 api_video_to_gif 最大 480px |
| 用户要自定义尺寸透明底 | 告知 api_convert_video_to_gif 固定 240×240px |
| 视频时长过长 | 提示裁剪或降低质量重试 |
api_convert_video_to_gif 超时 |
降级为 api_video_to_gif（放弃透明底）重试，告知透明底暂不可用 |
api_video_to_gif 调用失败 |
重试 1 次，仍失败返回错误 |
| 内容合规拦截 | 直接返回合规提示，不重试 |
| 图片转 GIF / GIF 转视频 / GIF 编辑 | 拒绝，告知能力范围外 |
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 · 153 lines · 66 tokens per session scan A 93a190a29523
video-to-gif is a skill published in the GitHub repository meitu/meitu-skills (36 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 1,611 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-to-gif compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-to-gifmeitu/meitu-skills | Skill | 36 | 2mo ago | MIT | A | 66 | 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 |