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-carouselgit 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-carousel)<a href="https://agentmods.dev/skills/meitu/meitu-skills/meitu-carousel"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/meitu-carousel/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-carousel"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/meitu-carousel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 10 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 8 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 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.
- high Privilege Escalation · line 21 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 95 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 97 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 326 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 5 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.
- medium Rogue Agent · line 43 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 | $0.00073 | $0.06402 |
| Opus 5.5 | $0.00029 | $0.02561 |
| Sonnet 5.5 | $0.00015 | $0.01280 |
| Haiku 4.5 | $0.00007 | $0.00640 |
Grade A, and why
meitu-carousel 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.
How it starts
The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
轮播套组生成
Overview
一键生成轮播套组，包含封面海报和多张内页，封面与内页风格统一。适用于小红书组图笔记、知识卡片轮播、产品介绍套图等场景。
不适用场景：单张海报（非套组）、非海报类需求（如文案、翻译、视觉建议、色彩提案）、仅涉及海报/封面但未指向套组的内容
Dependencies
- tools: meitu-cli — 美图公司 AI 开放平台的命令行工具。美图是一家以美为内核、以人工智能为驱动的科技公司，致力打造世界级影像产品，让图像、视频、设计等影像创作简单高效。
- Install:
npm install -g meitu-cli@latest（包名 meitu-cli） - Commands used:
image-poster-generate
- Install:
- credentials: 美图 AI 开放平台 API 凭证
- 环境变量：
MEITU_OPENAPI_ACCESS_KEY/MEITU_OPENAPI_SECRET_KEY - 或配置文件：
~/.meitu/credentials.json - 首选环境变量：
MEITU_OPENAPI_ACCESS_KEY/MEITU_OPENAPI_SECRET_KEY - 或预置凭证文件：
~/.meitu/credentials.json - 如需人工初始化本地凭证，可显式执行
meitu config set-ak --value "..."+meitu config set-sk --value "..."（会写入本地文件） - 验证：
meitu auth verify --json
- 环境变量：
- workspace (optional):
{OPENCLAW_HOME}/workspace/visual/- Path resolution:
$OPENCLAW_HOMEenv var →~/.openclaw(macOS/Linux) /%LOCALAPPDATA%\openclaw(Windows) - If directory not found → skip all knowledge reads, skill works without it
- If
DESIGN.mdoropenclaw.yamlexplicitly references brand assets or platform rules, the workflow may additionally read$VISUAL/assets/brands/and$VISUAL/rules/platforms/
- Path resolution:
- memory read/write paths (project mode):
$VISUAL/rules/quality.yaml— forbidden elements$VISUAL/memory/global.md— global preferences$VISUAL/memory/scenes/{type}.md— scene preferences$VISUAL/memory/observations/observations.yaml— observation staging
路径别名： 下文中
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
流程按实际执行顺序排列：
Preflight → [Context] → Execute → Refine → Deliver → [Record]
↑ 项目模式时执行 ↑ 项目模式时执行
↑ 一次性模式跳过 ↑ 一次性模式跳过
Preflight
meitu --version→ 未安装则提示npm install -g meitu-cli@latestmeitu auth verify --json→ 凭证无效则引导配置- Detect mode: cwd has
openclaw.yaml→ project mode; else → one-off 检查$VISUAL目录 → 确定 capabilities can_record = cwd 有 openclaw.yaml AND $VISUAL 存在（两者缺一即 false） - output_dir 解析（Preflight 内 MUST 完成，不可延迟到 Execute 或 Deliver）：
Resolve output_dir: openclaw.yaml →
./output/| else →$VISUAL/output/meitu-carousel/mkdir -p {output_dir}硬约束：output_dir MUST NOT 指向 skill 文件夹内部 - 项目创建（仅当用户主动要求时）：手动创建
{OPENCLAW_HOME}/workspace/visual/projects/{name}/+openclaw.yaml；已在项目目录中 → 跳过
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 340 lines · 0 tokens per session scan A 4fc025ccea7f
meitu-carousel is a skill published in the GitHub repository meitu/meitu-skills (36 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 6,402 once invoked, about $0.0003 per session on Opus 5.5. 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.
meitu-carousel compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| meitu-carouselmeitu/meitu-skills | Skill | 36 | 2mo ago | MIT | A | 73 | 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 |