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-element-removegit 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-element-remove)<a href="https://agentmods.dev/skills/meitu/meitu-skills/video-element-remove"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-element-remove/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-element-remove"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-element-remove.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 | $0.00081 | $0.01575 |
| Opus 5 | $0.00041 | $0.00788 |
| Sonnet 5 | $0.00016 | $0.00315 |
| Haiku 4.5 | $0.00008 | $0.00158 |
Grade A, and why
video-element-remove 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 12d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Element Remove
Overview
对已有视频做元素消除，覆盖 4 类场景（仅此 4 类，不处理鞋子/垃圾/随机物体等任意对象）：
- 去路人 / 行人：消除背景路人、行人，基于内容检测自动处理。
- 去字幕（随时间变化）：消除随时间变化的字幕条带（对白、中文字幕、底部文字）。
- 去水印 / Logo / 角标（固定位置）：消除固定位置的水印、Logo、平台角标、抖音号。
- 一键清屏：一次性清除画面中所有文字（字幕 + 水印 + UI 文字）。
不处理：添加 Logo/水印、视频内容替换、图片去水印、视频画质增强。
API Mapping
| 场景 | API name |
|---|---|
| 去路人 / 行人 | video_content_remove |
| 去字幕（随时间变化的对白条带） | video_subtitle_remove |
| 去水印 / Logo / 角标（固定位置） | video_watermark_remove |
| 一键清屏（去全部文字） | video_allwords_remove |
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-element-remove/；mkdir -p
Execute
触发信号与路由
核心判断维度：消除目标类型。Agent 调用前先识别视频画面内容，生成 prompt 描述（如"视频右上角有平台水印，底部有中文字幕"）。
prompt → 路由映射：
prompt 信号词 |
路由 API |
|---|---|
| 路人 / 行人 / 背景里的人 | video_content_remove |
| 字幕 / 台词 / 对白 / 底部文字 | video_subtitle_remove |
| 水印 / Logo / 角标 / 平台标 / 固定位置标识 | video_watermark_remove |
| 所有文字 / 全部字 / 清屏 / 全部清除 | video_allwords_remove |
| 字幕 + 水印 同时去 | video_subtitle_remove + video_watermark_remove 并行调用 |
场景互斥边界
- "去所有字"（全部文字）→
video_allwords_remove；"去字幕"（仅字幕）→video_subtitle_remove - 固定位 Logo →
video_watermark_remove；随时间字幕 →video_subtitle_remove subtitle_remove+watermark_remove可并行；allwords_remove与其他互斥（清屏已包含）
参数定义
| 参数 | 类型 | 必填 | 范围 | 默认 | 说明 |
|---|---|---|---|---|---|
video_url |
STRING | 是 | — | — | 视频地址 |
prompt |
STRING | 是 | — | — | Agent 对视频画面的描述，工具据此判断消除类型 |
说明：
- 识别不到任何信号词时默认走
video_subtitle_remove（最常见消除诉求） - 清屏需二次确认（会去除所有文字）
工具调用
meitu video-element-remove --video_url {url} --prompt "{画面描述}" --json --download-dir {output_dir} --skill_name skill_video-element-remove
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.
- 12d ago First seen · 136 lines · 81 tokens per session scan A d96b9497a2de
video-element-remove is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 15d ago), licensed MIT. It adds 81 tokens to every session and 1,575 once invoked, about $0.0004 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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