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 image-superres-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/image-superres-enhance)<a href="https://agentmods.dev/skills/meitu/meitu-skills/image-superres-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-superres-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/image-superres-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-superres-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 | $0.00096 | $0.01461 |
| Opus 5 | $0.00048 | $0.00731 |
| Sonnet 5 | $0.00019 | $0.00292 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
image-superres-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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Superres Enhance
Overview
对已有图片做清晰度提升 / 超分放大，按内容类型自动选最优算法，覆盖通用超分、电商商品图超分、文字文档超分。关键区分："放大到 4K/2K/1080P"（分辨率目标）走本工具；"放大 2/4/8 倍"（倍数放大）走 image-transform。
API Mapping
- 通用超分：
api_v2_image_restoration_async - 电商商品图超分：
api_v1_dlbeautygoodsimagesr_async - 文字文档/扫描件超分：
api_v1_dlbeautytextimagesr_async
Dependencies
- meitu-cli:
>=2.0.6 - 凭证：CONFIG AKSK →
meitu tools update；EXEC AKSK → 实际执行（见根CONFIG.md） - 环境变量：
MEITU_OPENAPI_TOOL_TASK_MODE=command
路径别名：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version≥ 2.0.6- 已用 CONFIG AKSK 跑过
meitu tools update - 当前 AKSK = EXEC，
MEITU_OPENAPI_TOOL_TASK_MODE=command - output_dir：openclaw.yaml →
./output/｜else →$VISUAL/output/image-superres-enhance/；mkdir -p
Execute
触发信号 / 路由规则
核心维度：Agent 画面识别的内容类型（prompt 信号词）。
| 场景 | 判定关键词 | 路由 |
|---|---|---|
| 电商商品图 | 商品、产品、SKU、电商、白底商品 | api_v1_dlbeautygoodsimagesr_async |
| 文字文档 | 文档、文字、图表、扫描件、发票、合同、表格 | api_v1_dlbeautytextimagesr_async |
| 通用 / 未指定 | 人像、风景、老照片、其他 | api_v2_image_restoration_async |
| 混合内容 | -- | 默认走通用或询问 |
| 商品图 + 指定分辨率 | 商品图变 4K | api_v1_dlbeautygoodsimagesr_async（场景专用优于通用） |
路由原则：场景专用优于通用；Agent 调用前先识别图片内容生成 prompt，无法判断则 prompt 写"通用图片"走默认。
参数定义
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
image_url |
STRING | 是 | 图片地址。缺失 → 提示"请提供需要超清处理的图片" |
prompt |
STRING | 是 | Agent 对图片内容的描述，用于内部路由判断（如"电商白底商品图""扫描件文字文档""风景照片"） |
所有 API 仅使用 image_url + prompt，无额外参数。
工具调用
meitu image-superres-enhance --image_url <url> --prompt "<content desc>" --json --download-dir {output_dir} --skill_name skill_image-superres-enhance
错误降级
| 场景 | 处理方式 |
|---|---|
image_url 缺失 |
提示"请提供需要超清处理的图片" |
image_url 不可访问 |
直接返回图片链接无效错误，不重试 |
prompt 为空或无信号词 |
默认走 api_v2_image_restoration_async |
| 混合内容（文字 + 商品） | 询问或默认走通用 |
| 任一 API 调用失败 | 切换 api_v2_image_restoration_async 重试 1 次 → 仍失败返回错误 |
| 内容合规拦截 | 直接返回合规提示，不重试、不降级 |
| 商品图 + 指定分辨率 | 优先走商品超分（场景专用优先），分辨率由 API 内部处理 |
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 · 121 lines · 96 tokens per session scan A 2e1f917420e6
image-superres-enhance is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 15d ago), licensed MIT. It adds 96 tokens to every session and 1,461 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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