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-lowlight-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-lowlight-enhance)<a href="https://agentmods.dev/skills/meitu/meitu-skills/video-lowlight-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-lowlight-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-lowlight-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/video-lowlight-enhance.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 | $0.00064 | $0.01342 |
| Opus 5 | $0.00032 | $0.00671 |
| Sonnet 5 | $0.00013 | $0.00268 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
video-lowlight-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 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Lowlight Enhance
Overview
调用 meitu video-lowlight-enhance 做视频暗部细节恢复、暗光环境提亮、高光阴影平衡调整。仅适用于暗光/低照度环境拍摄的视频；正常光照视频调用可能过曝。
不处理：综合画质修复、超分辨率、视频去噪、图片暗部增强、视频调色/色彩优化。
API Mapping
| DAG 工具 | 后端 API |
|---|---|
| video-lowlight-enhance | video_lowlight_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：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version≥ 2.0.6；未装走npm install -g meitu-cli@latestmeitu auth verify --json→ 凭证无效则引导配置- 确认已跑过 Config Phase（
meitu tools update）；MEITU_OPENAPI_TOOL_TASK_MODE=command - output_dir 解析：openclaw.yaml →
./output/| else →$VISUAL/output/video-lowlight-enhance/；mkdir -p {output_dir}
Execute
触发信号/路由
命中信号词："视频太暗、夜景、提亮、暗部、暗光、低照度、晚上拍得太暗、黑乎乎、光线不足"。
单 API 工具，参数齐全即调用 video_lowlight_enhance。不做跨工具兜底。
示例：
- "这个视频太黑了，看不清" → 直接调用
- "晚上拍的视频太暗了" → 直接调用
- "视频亮一点" → 轻确认"夜景暗部提亮还是普通画质修复？"
参数定义
| 参数 | 类型 | 必填 | 范围 | 默认值 | 说明 |
|---|---|---|---|---|---|
video_url |
STRING | 是 | -- | -- | 视频地址；缺失 → "请提供需要暗部增强的视频链接" |
不需要 prompt。仅适用于暗光/低照度视频；光照正常视频调用会导致过曝。
工具调用
meitu video-lowlight-enhance --video_url {video_url} --json --download-dir {output_dir} --skill_name skill_video-lowlight-enhance
错误降级
| 场景 | 处理 |
|---|---|
video_url 缺失 |
提示"请提供需要暗部增强的视频链接" |
video_url 不可访问 |
不重试，提示"请提供有效视频链接" |
| 视频光照正常但用户说"提亮" | 正常调用，但提示"该视频光照正常，增强后可能过曝" |
video_lowlight_enhance 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 |
| 输入为图片 | 拒绝，本工具仅处理视频 |
| 用户说"视频调色" | 告知非本工具范畴 |
Deliver
解析 --json 输出：
ok: true→downloaded_files[0].saved_path为本地已下载结果；或取media_urls[0]ok: false→ 检查code和hint
mv {file} {output_dir}/{YYYY-MM-DD}_{name}_lowlight.mp4
Output
- 格式：MP4
- 命名：
{YYYY-MM-DD}_{descriptive-name}_lowlight.mp4 - 位置：项目 →
./output/；一次性 →$VISUAL/output/video-lowlight-enhance/
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 · 125 lines · 64 tokens per session scan A 6de8975982b3
video-lowlight-enhance is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 15d ago), licensed MIT. It adds 64 tokens to every session and 1,342 once invoked, about $0.0003 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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