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-poster-generategit 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-poster-generate)<a href="https://agentmods.dev/skills/meitu/meitu-skills/image-poster-generate"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-poster-generate/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-poster-generate"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-poster-generate.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 | $0.00069 | $0.01627 |
| Opus 5.5 | $0.00028 | $0.00651 |
| Sonnet 5.5 | $0.00014 | $0.00325 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
image-poster-generate 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Poster Generate
Overview
文/图生海报，多风格多尺寸，支持海报编辑、文字修改、换背景。覆盖促销海报、活动宣传图、广告 Banner、社交媒体配图、品牌推广图。
API Mapping
- 海报生成：
image_poster_generate - model 值（首字母大写，与 image-edit 的 snake_case 命名空间不同）：
Praline_2（默认）/GummyV4.5/PralineV2/Gummy/Nougat
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-poster-generate/；mkdir -p
Execute
触发信号 / 路由规则
核心维度：参数齐全 + 海报场景命中 + model 选型。
| 场景 | 判定关键词 | 路由 |
|---|---|---|
| 文生海报（无参考图） | 海报、宣传图、Banner | image_poster_generate |
| 图生海报 / 海报编辑（有 image_list） | 修改这张海报、参考海报 | image_poster_generate + image_list |
model 选型（首字母大写，与 image-edit 的 snake_case 命名空间不同）：默认 Praline_2（综合），写实人像 → GummyV4.5，高创意 → PralineV2，通用人像 → Gummy，特殊风格 → Nougat。
参数定义
| 参数 | 类型 | 必填 | 范围 | 默认 | 说明 |
|---|---|---|---|---|---|
prompt |
STRING | 是 | -- | -- | 海报描述。缺失 → 提示"请描述您想要的海报内容" |
model |
STRING | 否 | Gummy / Nougat / PralineV2 / GummyV4.5 / Praline_2 | Praline_2 | 模型选择（注意首字母大写，区别于 image-edit） |
image_list |
ARRAY | 否 | -- | -- | 参考图片 URL 数组 |
ratio |
STRING | 否 | auto / 1:1 / 1:3 / 3:1 / 2:1 / 1:2 / 3:2 / 2:3 / 4:3 / 3:4 / 4:5 / 5:4 / 9:16 / 16:9 / 10:16 / 16:10 / 21:9 | auto | 宽高比 |
size |
STRING | 否 | auto / 1K / 2K / 4K / 512 | auto | 分辨率 |
output_format |
STRING | 否 | jpeg / png / webp | png | 输出格式 |
enhance_prompt |
BOOLEAN | 否 | true / false | false | 是否优化 prompt（描述 <15 字时建议开启） |
enhance_template |
STRING | 否 | -- | -- | 优化模板（仅 enhance_prompt=true 时生效） |
工具调用
meitu image-poster-generate --prompt "<desc>" [--model Praline_2] [--ratio 9:16] [--size auto] [--image_list <url>] --json --download-dir {output_dir} --skill_name skill_image-poster-generate
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 · 123 lines · 69 tokens per session scan A 9d10c8db7b78
image-poster-generate is a skill published in the GitHub repository meitu/meitu-skills (36 stars, last pushed 2mo ago), licensed MIT. It adds 69 tokens to every session and 1,627 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.
image-poster-generate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| image-poster-generatemeitu/meitu-skills | Skill | 36 | 2mo ago | MIT | A | 69 | 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 |