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 meitu-beautygit 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/meitu-beauty)<a href="https://agentmods.dev/skills/meitu/meitu-skills/meitu-beauty"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/meitu-beauty/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/meitu-beauty"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/meitu-beauty.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 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 15 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 41 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 19 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 | $0.00076 | $0.01854 |
| Opus 5 | $0.00038 | $0.00927 |
| Sonnet 5 | $0.00015 | $0.00371 |
| Haiku 4.5 | $0.00008 | $0.00185 |
Grade A, and why
meitu-beauty 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meitu Beauty
Overview
一键 AI 人像精修：磨皮、美白、面部细节优化。基于 meitu image-edit --model gummy_pro 做写实人像修饰，仅支持单人人像照片。
执行前应让用户清楚知道：本 Skill 会读取 Meitu 凭证、调用本地 meitu CLI、将用户提供的人像图片与生成提示发送到 Meitu OpenAPI 处理，并把结果写入 ./output/ 或 $VISUAL/output/meitu-beauty/。人像照片属于敏感的个人外观数据，需确认用户对所处理照片具备使用和处理授权。
Dependencies
- meitu-cli ≥ 2.0.6 —
npm install -g meitu-cli@latest - 凭证配置: 首选环境变量
MEITU_OPENAPI_ACCESS_KEY/MEITU_OPENAPI_SECRET_KEY，或预置~/.meitu/credentials.json；仅在用户明确要求写入本地凭证时，再执行meitu config set-ak --value "..."+meitu config set-sk --value "..."
路径别名： 下文中
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → [Context: 跳过（工具型美颜，无创意自由度）] → Execute → Deliver
Preflight
meitu --version→ 未安装则提示npm install -g meitu-cli@latestmeitu auth verify --json→ 凭证无效则引导配置- Detect mode: cwd has
openclaw.yaml→ project mode; else → one-off 检查$VISUAL目录 → 确定 capabilities - output_dir 解析（Preflight 内 MUST 完成）：
Resolve output_dir: openclaw.yaml →
./output/| else →$VISUAL/output/meitu-beauty/mkdir -p {output_dir}
Execute
输入获取
用户提供图片，接受以下形式：
- 本地文件路径 → 使用
--image_list <path> - 图片 URL → 使用
--image_list <url> - 对话中直接发送的图片 → 保存到临时文件后使用
--image_list <path>
若用户未提供图片，主动询问："请提供需要美颜的人像照片（文件路径或 URL）。"
人像校验（关键前置步骤）
此工具仅支持单人人像。调用前 MUST 校验：
-
读取用户提供的图片，目视检查：
- 是否包含人脸 → 无人脸则拒绝："这张图片中没有检测到人像，美颜工具仅支持包含人脸的照片。"
- 是否为单人 → 多人则拒绝："检测到多人，美颜工具仅支持单人照片。请裁剪为单人后重试。"
- 人脸是否足够大且清晰 → 人脸过小/模糊则警告："人脸较小/模糊，美颜效果可能不明显，是否继续？"
-
若无法预判（如 URL 无法预览），直接调用工具，根据返回错误处理。
强度选择
| 用户意图 | prompt 追加语句 | 说明 |
|---|---|---|
| "自然美颜"、"轻微调整"、"稍微美化"、未指定强度 | natural portrait retouch, keep facial structure unchanged |
自然效果（默认） |
| "大力美颜"、"重度磨皮"、"效果强一点"、"狠狠美颜" | strong but realistic skin smoothing, brighter complexion, keep facial structure unchanged |
增强效果 |
调用命令
meitu image-edit \
--skill_name skill_meitu-beauty \
--image_list <url_or_path> \
--prompt "<beauty_instruction>" \
--model gummy_pro \
--json \
--download-dir {output_dir}
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 · 146 lines · 76 tokens per session scan A 29a6bd2e3943
meitu-beauty is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 15d ago), licensed MIT. It adds 76 tokens to every session and 1,854 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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