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-effect-applygit 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-effect-apply)<a href="https://agentmods.dev/skills/meitu/meitu-skills/video-effect-apply"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-effect-apply/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-effect-apply"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-effect-apply.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 20 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 | $0.00106 | $0.02036 |
| Opus 5 | $0.00053 | $0.01018 |
| Sonnet 5 | $0.00021 | $0.00407 |
| Haiku 4.5 | $0.00011 | $0.00204 |
Grade A, and why
video-effect-apply 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 13d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Effect Apply
Overview
对已有视频或图片施加整体视觉风格变换或创意特效（不修改/替换/消除具体内容元素），覆盖 3 类场景 + 2 个兜底：
- 预设风格特效（视频输入）：通用默认入口，Agent 根据
prompt在预设特效库中检索可用effect_id。 - AI 创意效果（仅图片输入）：
image_url+ 无video_url，基于图片生成 AI 创意视频。 - 长视频风格转绘：动漫/像素/黏土等整体风格转换。
不处理：视频内容替换、视频消除、视频画质修复、视频画布扩展、纯文字生成视频、视频拼接。
API Mapping
| 场景 | API name | 必需输入 |
|---|---|---|
| 预设风格特效（视频） | formula_group_v2v_creative |
video_url |
| AI 创意效果（图片） | formula_group_video_creative |
image_url（无视频） |
| 长视频风格转绘 | aiflow_long_video_redrawn |
video_url |
| 兜底（v2v，视频输入） | video_molasses_edit |
video_url |
| 兜底（视频特效，图片输入） | video_bonbon_img2vid_v30 |
image_url |
model 映射：auto（默认，按路由规则）/ molasses → video_molasses_edit / bonbon → video_bonbon_img2vid_v30。
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：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version与meitu auth verify --json- 检测
MEITU_OPENAPI_TOOL_TASK_MODE=command - output_dir：项目 →
./output/；一次性 →$VISUAL/output/video-effect-apply/；mkdir -p
Execute
触发信号与路由
核心判断维度：输入类型（图片 vs 视频） + prompt 信号词 → effect 分发。
决策顺序：
-
输入类型判断（路由铁律）：
- 仅图片输入（无
video_url）→ 强制走formula_group_video_creative（检索不到时兜底至video_bonbon_img2vid_v30） - 有视频输入 → 继续按 prompt 信号词分发
- 仅图片输入（无
-
视频输入路由：
- 工具内部根据
prompt检索预设特效库- 检索到可用
effect_id→formula_group_v2v_creative - 未检索到 → 进入信号词判断
- 检索到可用
- 信号词判断：
- 动漫 / 像素 / 黏土 / 风格转绘 →
aiflow_long_video_redrawn - 通用 / 不明确 → 兜底
video_molasses_edit
- 动漫 / 像素 / 黏土 / 风格转绘 →
- 工具内部根据
3 API 路由速查
| API | 必需输入 | 触发关键词 |
|---|---|---|
formula_group_v2v_creative |
video_url |
加特效、预设风格、创意玩法 |
formula_group_video_creative |
image_url 无视频（铁律） |
AI 创意视频 |
aiflow_long_video_redrawn |
video_url |
风格转绘、动漫、像素、黏土 |
参数定义
| 参数 | 类型 | 必填 | 范围 | 默认 | 说明 |
|---|---|---|---|---|---|
video_url |
STRING | 条件必填 | — | — | v2v_creative / long_video_redrawn 必需 |
image_url |
STRING | 条件必填 | — | — | video_creative 必需 |
prompt |
STRING | 是 | — | — | 用户所需特效/风格描述，工具内部据此检索匹配 effect_id |
model |
STRING | 否 | auto/molasses/bonbon |
auto |
模型选择 |
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.
- 13d ago First seen · 159 lines · 106 tokens per session scan A 79c38e115d05
video-effect-apply is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 15d ago), licensed MIT. It adds 106 tokens to every session and 2,036 once invoked, about $0.0005 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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