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 AgenticAIPlan/AgenticAISkills --skill scipop-comic-xinghegit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/scipop-comic-xinghe)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/scipop-comic-xinghe"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/scipop-comic-xinghe/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/agenticaiplan/agenticaiskills/scipop-comic-xinghe"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/scipop-comic-xinghe.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 | $0.00144 | $0.03841 |
| Opus 5 | $0.00072 | $0.01920 |
| Sonnet 5 | $0.00029 | $0.00768 |
| Haiku 4.5 | $0.00014 | $0.00384 |
Grade B, and why
scipop-comic-xinghe scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s https://aistudio.baidu.com/llm/lmapi/v3/chat/completions \n -H "Content-Type: application/json" \n -H "Authorization: Bearer $AISTUDIO_API_KEY" \n -d '{"model": "ernie-5.0-thinking-preview", "messages": [{"role": Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://aistudio.baidu.com/llm/lmapi/v3/chat/completions \n -H "Content-Type: application/json" \n -H "Authorization: Bearer $AISTUDIO_API_KEY" \n -d '{"model": "ernie-5.0-thinking-preview", "messages": [{"role": How it starts
The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SciPop Comic Orchestrator（科普连环画编排器）
基于百度星河社区 API 的自动化科普连环画生成工具，实现多模态解析 × 单 Panel 精修 × N×N 全局合成的三阶段闭环创作。
环境配置
📖 详细 API 文档参见 references/api_reference.md
必需条件
| 项目 | 要求 |
|---|---|
| API Key | 星河社区 API Key，环境变量 AISTUDIO_API_KEY |
| API 端点 | https://aistudio.baidu.com/llm/lmapi/v3/chat/completions |
| 分析模型 | ernie-5.0-thinking-preview（原生全模态大模型） |
| 生图模型 | ernie-image-turbo（图像生成 API） |
配置验证
# 设置 API Key
export AISTUDIO_API_KEY="your-key"
# 验证连通性
curl -s https://aistudio.baidu.com/llm/lmapi/v3/chat/completions \n -H "Content-Type: application/json" \n -H "Authorization: Bearer $AISTUDIO_API_KEY" \n -d '{"model": "ernie-5.0-thinking-preview", "messages": [{"role": "user", "content": "ping"}], "stream": true, "max_completion_tokens": 100}'
参考文档
| 文档 | 用途 |
|---|---|
| references/api_reference.md | 星河社区 API 详细参考 |
| references/article_analysis_prompts.md | 文章解析提示词模板 |
| references/ernie_image_prompt_guide.md | ERNIE-Image 提示词撰写指南 |
| references/style_guide.md | 连环画风格设计指南 |
工作流程
Phase 1: 文章解析与 Prompt 建模
目标: 将科普文章拆解为 4-6 个视觉场景，生成风格一致的图像 Prompt。
提示词结构规范
系统提示词模板:
你是一位科普连环画脚本编写专家。分析文章并根据内容的丰富程度和结构确定最合适的 Panel 数量（4-6个）。输出一个 JSON 对象，包含四个字段："recommended_panels"（整数，4-6），"recommendation_reason"（一句话中文解释为什么这个 Panel 数量适合该文章），"style_seed"（简短的中文风格描述，在所有 Panel 中复用），"panels"（与推荐数量匹配的对象数组，每个对象包含 "id"、"scene" 中文场景描述、"image_prompt" 中文图像生成提示）。仅输出原始 JSON，不要使用 markdown 代码块。
image_prompt 撰写规范（详见 references/ernie_image_prompt_guide.md）：
{主体特征}，{动作姿态}，{环境背景}，{细节元素}，{风格关键词}，{质量标签}
示例：
一位戴眼镜的女科学家，穿着白色实验服，正激动地指着屏幕，现代实验室背景有显微镜和电脑，屏幕上显示橙红色的黑洞光环图像，扁平插画风格，清晰轮廓，科学配色，高质量，连环画
What ships with it
9 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.
- evals/evals.json 2.3 KB
- README.md 9.1 KB
- references/api_reference.md 7.2 KB
- references/article_analysis_prompts.md 32 KB
- references/ernie_image_prompt_guide.md 11 KB
- references/script_writing_guide.md 25 KB
- references/style_guide.md 14 KB
- scripts/generate_comic.py 31 KB runs code
- scripts/retry_utils.sh 3.5 KB runs code
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 · 345 lines · 144 tokens per session scan B e5f123f3f92c
scipop-comic-xinghe is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 144 tokens to every session and 3,841 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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