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 Morningstar202604/awesome-skillkit --skill ai-cover-generatorgit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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/morningstar202604/awesome-skillkit/ai-cover-generator)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/ai-cover-generator"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/ai-cover-generator/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/morningstar202604/awesome-skillkit/ai-cover-generator"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/ai-cover-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00126 | $0.00748 |
| Opus 5 | $0.00063 | $0.00374 |
| Sonnet 5 | $0.00025 | $0.00150 |
| Haiku 4.5 | $0.00013 | $0.00075 |
Grade A, and why
ai-cover-generator 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 11d 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.
What it actually says
AI 封面图生成 Skill
compatibility
- Python 3.8+（标准库即可运行；
--jpg压缩功能需 Pillow） - 本地图片服务运行于
http://127.0.0.1:30080（可用环境变量IMAGE_API_BASE覆盖）
服务契约
与本地 ai-image-gen 服务完全一致：
- 提交：
POST /api/image/generate{"model":"gpt-image-2","prompt":"...","params":{"size":"1792x1024","quality":"auto","n":1}} - 轮询：
GET /api/image/status?task_id=...is_final=true && state=="success"时result_url为下载地址 - 尺寸规则：宽高均为 16 的倍数；宽高比 1:3
3:1；总像素 6553608294400（脚本提交前会校验）
使用
1. 先看请求计划（默认 dry-run）
python3 scripts/generate_cover.py --prompt "..." --size 1536x1024
2. 提交并等待完成
python3 scripts/generate_cover.py --execute \
--prompt "Dark tech blog cover, isometric illustration of publish pipelines across platforms, flat design, #0d1117 background, green #238636 and blue #58a6ff accents" \
--size 1536x1024 --out cover.png --jpg --timeout 180
--jpg：额外用 PIL 压缩出 <1MB 的 JPG（知乎/公众号上传要求小体积）- 服务不可达 → 明确报错 exit 1，不会假装成功
3. Prompt 风格模板（配合各平台规范）
| 平台 | 建议 prompt 要素 | 尺寸 |
|---|---|---|
| 博客园 | 暗色 #0d1117 背景 + #238636/#58a6ff 点缀，flat-design 无渐变 | 1536x1024 (3:2) |
| 知乎 | 主题场景风格插画，避免纯渐变 PPT 风 | 1536x1024 |
| 公众号 | 900x383 头图比例附近取整到16倍数（如 896x384） | 896x384 |
英文 prompt 更稳：主体 + 风格 + 光影 + 构图 + 配色。
与其他技能的联动
cnblogs-skill/zhihu-content-manager的发文流程中「生成配图」一步即调用本技能- 生成的 JPG 路径直接传给对应平台的图片上传步骤
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.
- 11d ago First seen · 55 lines · 126 tokens per session scan A 2ff84db48ad3
ai-cover-generator is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 126 tokens to every session and 748 once invoked, about $0.0006 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 2026-08-31.
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