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-quality-enhancegit 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-quality-enhance)<a href="https://agentmods.dev/skills/meitu/meitu-skills/video-quality-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-quality-enhance/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-quality-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-quality-enhance.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 | $0.00087 | $0.01554 |
| Opus 5.5 | $0.00035 | $0.00622 |
| Sonnet 5.5 | $0.00017 | $0.00311 |
| Haiku 4.5 | $0.00009 | $0.00155 |
Grade A, and why
video-quality-enhance 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.
This is a copy
83% identical to text-code-edit — 140 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Quality Enhance
Overview
调用 meitu video-quality-enhance 做视频综合画质修复：去模糊 + 降噪 + 补帧 + 暗部提亮，自适配人像/演唱会/动漫/夜景/商品全场景。单项画质诉求（降噪/补帧/暗部增强）也由本工具默认承接。
不接收 target_resolution，不处理分辨率/超分/放大相关诉求，不处理图片。
API Mapping
| DAG 工具 | 后端 API |
|---|---|
| video-quality-enhance | video_hd_enhance |
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-quality-enhance/；mkdir -p {output_dir}
Execute
触发信号/路由
命中信号词："画质修复、视频修复、一键修复、整体修复、综合修复、变清晰、老视频翻新、画质提升、一键增强"。
决策顺序（能力范围判断最高优先级）：
- 输入是否含分辨率/超分诉求（720P/1080P/2K/4K / 放大 / 超分 / 分辨率）？
- 是 → 本工具不处理，返回能力范围外（引导
video-resolution-upscale） - 否 → 进入下一步
- 是 → 本工具不处理，返回能力范围外（引导
- Agent 画面识别视频内容类型生成
prompt video_url/prompt缺失 → 追问- 唯一路由 →
video_hd_enhance
prompt → 内部场景适配
| prompt 信号词 | 内部适配 |
|---|---|
| 人像/自拍/人物/面部 | 人像修复 |
| 演唱会/现场/舞台/音乐会 | 演唱会修复 |
| 动漫/动画/二次元/卡通 | 动漫修复 |
| 夜景/暗光/夜拍/低光 | 夜景修复 |
| 商品/产品/展示/电商 | 商品修复 |
| 其他/通用 | 通用修复（默认） |
无法判断 → prompt 写"通用视频"走默认修复模式。
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，用于内部多场景适配 |
不接收 target_resolution 参数——本工具不处理分辨率。
工具调用
meitu video-quality-enhance \
--skill_name skill_video-quality-enhance \
--video_url {video_url} \
--prompt "{prompt}" \
--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 |
不重试，提示"请提供有效视频链接" |
prompt 为空或无信号词 |
Agent 识别后生成；仍无法判断写"通用视频" |
| 调用失败 | 重试 1 次，仍失败返回错误 |
| 超时 | 重试 1 次，仍超时返回错误 |
| 内容合规拦截 | 直接返回合规提示，不重试 |
| 用户中途追加分辨率/超分诉求 | 返回"本工具不处理分辨率相关诉求" |
| 输入为图片 | 拒绝，本工具仅支持视频 |
| "修复成 4K"等同时含修复+分辨率 | 本工具不处理（含分辨率诉求，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 · 142 lines · 87 tokens per session scan A a32a2853b42f
video-quality-enhance is a skill published in the GitHub repository meitu/meitu-skills (36 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 1,554 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to text-code-edit, differing in 140 lines, and is treated as a copy.
video-quality-enhance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-quality-enhancemeitu/meitu-skills | Skill | 36 | 2mo ago | MIT | A | 87 | 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 |