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 zjp1997720/zhijian-skills --skill scholar-stickersgit clone --depth 1 https://github.com/zjp1997720/zhijian-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/zjp1997720/zhijian-skills/scholar-stickers)<a href="https://agentmods.dev/skills/zjp1997720/zhijian-skills/scholar-stickers"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/scholar-stickers/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/zjp1997720/zhijian-skills/scholar-stickers"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/scholar-stickers.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 | $0.00122 | $0.03396 |
| Opus 5.5 | $0.00049 | $0.01358 |
| Sonnet 5.5 | $0.00024 | $0.00679 |
| Haiku 4.5 | $0.00012 | $0.00340 |
Grade A, and why
scholar-stickers scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
6. 生成完 `curl -sS -L -o portraits/{id}.png "<result_url>"` 落到交付目录的 `portraits/` 子目录 How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scholar Stickers · 知识人物贴纸幻灯片生成器
把一组人物(思想家 / 科学家 / 文学家 / 历史人物)或一组概念,做成单文件 16:9 交互幻灯片:总览页贴纸墙 → 点击贴纸 → 人物详情页(生平可点击展开)。面向教师课堂投影使用,零滚动、键盘翻页、后排可读。
1. 输入参数
| 参数 | 必填 | 说明 | 示例 |
|---|---|---|---|
figures |
✅ | 3–6 位人物名单 | 苏格拉底、孔子、卢梭、杜威、皮亚杰 |
domain |
✅ | 学科领域(决定查资料的方向) | 教育哲学 / 经典物理学 / 唐宋文学 |
title |
✅ | 总览页大标题 | 哲学,从惊讶与疑惑开始 |
subtitle |
⬜ | 总览页引言(默认空) | 我们为何教育…… |
chapter |
⬜ | 顶部章节编号(默认 CHAPTER · 01) | CHAPTER · 03 |
theme |
⬜ | 配色主题(默认 warm-classic,见 §5.2) |
ink-blue / forest |
expand_mode |
⬜ | 生平是否点击展开(默认开) | on / off |
如果用户只给人物名单没给 title/domain,先按领域拟 2–3 个标题让用户选,不要自作主张定稿。
2. 工作流程(五步)
Step 1 · 资料整理(每人五段式)
用 WebSearch / 本地知识库为每位人物查证并整理以下字段。所有字段有字数硬限制(一屏放不下就失败):
{
id: 'socrates', // 拼音 id,用于图片文件名
name: '苏格拉底', // 中文姓名
nameEn: 'Socrates', // 外文名(中国人物用拼音或字)
years: '470 BC – 399 BC', // 生卒年
keywords: '古希腊 · 街头追问 · 产婆术', // ≤4 个关键词,· 分隔
bio: '……约 110 字……', // 生平:4-5 行以内,3-5 个关键事件
contribs: [ // 贡献:恰好 3 条,每条 ≤40 字,<b>加粗术语</b>
'<b>术语</b>:一句话解释。',
'<b>术语</b>:一句话解释。',
'<b>术语</b>:一句话解释。'
],
quotes: ['……', '……'], // 金句:恰好 2 条,每条 ≤30 字
books: ['《A》', '《B》'], // 经典文本:恰好 2 本
inspiration: '……≤22 字,一行说完。' // 当代启示:单句
}
内容红线:
- 拿不准的史实标
[待核实],不要编造生卒年、著作名、语录 - 金句必须是有出处的原文或公认转述,查不到就换成著作名句
- 中国人物 quotes 优先用原典(文言可保留,加一句白话点题可选)
Step 2 · 肖像生成(铅笔素描贴纸风)
用当前平台的文生图能力(WorkBuddy 为「多模态内容生成」skill,其他平台用自带生图工具)为每位人物生成肖像,统一风格。
Prompt 模板(替换 {描述}):
Pencil sketch portrait of {人物身份描述:国籍/时代/外貌特征/服装},
graphite pencil drawing on white paper, monochromatic black and white,
hand-drawn white sticker border around the portrait with slightly torn paper edges,
bust composition, classical engraving style
外貌描述要写可识别特征(胡须/眼镜/帽子/发型/服装),例如:
- 苏格拉底 →
ancient Greek philosopher Socrates, bald head with curly white side hair, long curly white beard, classical Greek toga draped over one shoulder, intense thoughtful gaze - 杜威 →
American philosopher John Dewey, round wire-rimmed glasses, small mustache, neat combed gray hair, formal suit with tie, dignified expression
What ships with it
7 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.
- 7d ago First seen · 211 lines · 122 tokens per session scan A 0412f99d04cf
scholar-stickers is a skill published in the GitHub repository zjp1997720/zhijian-skills (784 stars, last pushed 2d ago), licensed MIT. It adds 122 tokens to every session and 3,396 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-09.
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