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 cuic19053-hue/-skills- --skill single_scholarshipgit clone --depth 1 https://github.com/cuic19053-hue/-skills-Wrote 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/cuic19053-hue/-skills-/single_scholarship)<a href="https://agentmods.dev/skills/cuic19053-hue/-skills-/single_scholarship"><img src="https://agentmods.dev/badge/skills/cuic19053-hue/-skills-/single_scholarship/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/cuic19053-hue/-skills-/single_scholarship"><img src="https://agentmods.dev/badge/skills/cuic19053-hue/-skills-/single_scholarship.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 | $0.00123 | $0.14091 |
| Opus 5 | $0.00062 | $0.07045 |
| Sonnet 5 | $0.00025 | $0.02818 |
| Haiku 4.5 | $0.00012 | $0.01409 |
Grade A, and why
single_scholarship 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.
How it starts
The opening of the file, as written. The whole thing — 967 lines — stays where its author put it; the contents beside it link to each section on GitHub.
单项奖学金申请书 Skill
本 skill 处理"单项奖学金申请书"全流程：信息采集 → 子方向判定 → 书信体撰写 → docx 生成 → 质检。单项奖学金评审侧重单项突出（不要求全面发展），4 个子方向：科研单项、社工单项、文体单项、学习进步单项。各方向必写该方向的具体成绩，其他方面可简略。仅处理单项类，国奖（8000 元）、励志（5000 元）、校级一/二/三等、企业专项请走其他 skill。
子方向与硬门槛：
- 科研单项：第一作者论文 1 篇（中文核心及以上）或发明专利 1 项或大创国家级立项
- 社工单项：学生干部职务 + 组织活动 ≥5 场或志愿服务 ≥80 小时
- 文体单项：校级及以上文艺/体育竞赛获奖 ≥1 项（前 3 名或等级奖）
- 学习进步单项：GPA 较上一学年提升 ≥0.5 或排名提升 ≥30%
与校级奖学金的关键区别：单项突出而非全面发展、其他方面可简略、评审权重单项 70%/综合 20%/思想 10%、字数 800~1500 字（与校级一致但段落配比不同）。
输出文件：可提交的 .docx（A4，黑体二号标题居中、宋体小四正文、1.5 倍行距、首行缩进 2 字符、"此致/敬礼！"格式、落款右对齐）。
一、适用场景与触发条件
适用：用户提到"单项奖学金""科研单项""社工单项""文体单项""学习进步单项"等关键词，且在某一方向有突出表现（其他方面不要求全面发展）。子方向由用户主述+数据自动判定。
不适用（走其他 skill）：
- 国家奖学金（8000 元，全面发展，GPA 前 5%）→ 走国奖 skill
- 国家励志奖学金（5000 元，需家庭经济困难认定）→ 走励志 skill
- 校级奖学金（纯学习，GPA 前 30%）→ 走校级奖学金 skill
- 企业专项奖学金（侧重行业兴趣与职业规划）→ 走企业奖学金 skill
子方向判定规则：
| 子方向 | 触发数据 | 典型场景 |
|---|---|---|
| 科研单项 | 论文/专利/大创任意 1 项 | 第一作者 SCI 论文 1 篇 |
| 社工单项 | 学生干部职务 + 活动/志愿服务数据 | 学生会主席+组织 8 场活动+服务 2000 人次 |
| 文体单项 | 文艺/体育竞赛获奖数据 | 全国大学生艺术展演一等奖 |
| 学习进步单项 | GPA 提升幅度或排名提升幅度 | GPA 2.8→3.6 或排名 60→15 |
触发后第一步：核对子方向硬门槛。若用户在 4 个方向均有突出表现，建议改申校级一等或国奖；若 4 个方向均不达标，告知"单项奖学金需在某方向有突出成绩，建议改申校级奖学金"，避免无效申请。
二、工作流程总览
四阶段串行执行，每阶段完成后再进入下一阶段：
阶段 1 信息采集（5~8 轮对话）： 按"通用必采 → 子方向判定 → 该方向专属字段 → 其他方面（简略）"顺序采集。每轮不超过 5 个字段。子方向判定优先：先确认用户在某方向有突出成绩，再深度采集该方向数据。其他方面（思想/学业/生活）简略采集即可。
阶段 2 子方向判定与书信体撰写（一次性产出）： 先按数据判定子方向（或采用用户指定），再按"标题 → 称呼 → 开头 → 单项突出表现（重点，占 60% 篇幅） → 其他方面（简略） → 结尾 → 落款"顺序撰写。正文 800~1500 字，每段严格控制在规范区间。事实+数据原则，单项段落必须有量化数据与表格。
阶段 3 docx 生成：
调用 python build.py --data data.json --out output.docx 生成 Word 文档。data.json 字段定义见第十章，需包含 category 字段（research/social_work/art_sport/progress）+ 该方向专属字段。生成 docx 时按 category 动态选择表格类型。
阶段 4 质检： 按第十一章 22 项清单逐项检查。任何一项不达标返回阶段 2 修改。重点检查：单项数据是否齐全（论文含期刊级别/作者排序、活动含场次/服务人数、获奖含级别/角色、GPA 提升含基数）；其他方面是否简略（不超过 250 字）；附件证明是否齐全。
禁止行为：
- 开头抒情堆砌（"时光荏苒""岁月如梭"）
- 形容词代替事实（"科研能力突出""工作认真负责"）
- 把其他方向数据写满（单项突出是重点，其他简略）
- 论文不写期刊级别与作者排序
- 学生干部只写头衔不写履职
- 文体获奖不写级别与角色
- GPA 提升不写基数与幅度
- 结尾"恳请领导批准"
- 编造单项成绩
- 把国奖内容（全面发展）写入单项申请书
What ships with it
1 file 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 · 967 lines · 123 tokens per session scan A 75a8d975246a
single_scholarship is a skill published in the GitHub repository cuic19053-hue/-skills- (10 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 14,091 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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