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 chenyuxiaojin/xiaochen-skills --skill cyxj-video-covergit clone --depth 1 https://github.com/chenyuxiaojin/xiaochen-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/chenyuxiaojin/xiaochen-skills/cyxj-video-cover)<a href="https://agentmods.dev/skills/chenyuxiaojin/xiaochen-skills/cyxj-video-cover"><img src="https://agentmods.dev/badge/skills/chenyuxiaojin/xiaochen-skills/cyxj-video-cover/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/chenyuxiaojin/xiaochen-skills/cyxj-video-cover"><img src="https://agentmods.dev/badge/skills/chenyuxiaojin/xiaochen-skills/cyxj-video-cover.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 | $0.00131 | $0.00769 |
| Opus 5 | $0.00066 | $0.00385 |
| Sonnet 5 | $0.00026 | $0.00154 |
| Haiku 4.5 | $0.00013 | $0.00077 |
Grade A, and why
cyxj-video-cover 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.
What it actually says
cyxj-video-cover:无字底图生成引擎(已降级)
2026-07-26 降级定稿(裁决记录见 内容创作/log):旧「生图直接渲染中文标题」工作流作废—— 中文文字永远不要交给生图模型渲染,文字由浏览器渲染(cyxj-release-kit 的 cover-studio.html), 底图才交给生图。本 skill 只剩一件事:出无字底图。
唯一入口:generate.py
python3 <本目录>/scripts/generate.py \
--title "占位" \ # 仍需传参但别指望它排字;场景里必须禁字(见下)
--label "<项目名>-底图" \
--ratios "16:9" \
--face ~/Pictures/封面形象/<用户指定的原图> \
--scene "<场景描述>。画面中完全不出现任何文字、字母、数字、标志、水印;右侧大面积留白给排版"
硬规矩:
- 人脸参考必须由用户指定原图(
--face显式传),严禁默认取目录第一张、严禁拿生成图回喂(会越来越不像)。 - 场景提示词必须带禁字条款(上面那句),出图后人工检查画面无任何文字残留。
- 底图只出 16:9 一张;分比例适配、标题渲染、JPG 转换全部在 cyxj-release-kit 里做。
- 输出仍落
~/Pictures/封面出图/<日期>-<label>/。
技术事实(engine 层,维护时看)
- 引擎:
gpt-image-2-vip@ GPTIMG2 中转api.chatgpt-code.com(OpenAI 兼容,{base}/v1/images/edits, 真人照片做参考图重绘保脸;response_format=url,脚本下载落地 PNG) - 密钥:
密钥存储/.env的GPTIMG2_BASE_URL(末尾无/v1)+GPTIMG2_API_KEY,脚本自动读 - 引擎实测对照与 Gemini 实验路径:
references/engines.md - 依赖:Python 3.11+ 标准库;可选 Pillow(自动中心裁切)
历史
旧版完整工作流(整图带字、4 比例×2、风格预设、psjpg 交付)已删,如需考古看本仓 git 历史 (2026-07-26 之前的版本);网页生成模板 web-prompts.md 同日删除。
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.
- 12d ago First seen · 45 lines · 131 tokens per session scan A 32a76a9b2cfc
cyxj-video-cover is a skill published in the GitHub repository chenyuxiaojin/xiaochen-skills (6 stars, last pushed 8d ago), licensed MIT. It adds 131 tokens to every session and 769 once invoked, about $0.0007 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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