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 outstanding_studentgit 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-/outstanding_student)<a href="https://agentmods.dev/skills/cuic19053-hue/-skills-/outstanding_student"><img src="https://agentmods.dev/badge/skills/cuic19053-hue/-skills-/outstanding_student/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-/outstanding_student"><img src="https://agentmods.dev/badge/skills/cuic19053-hue/-skills-/outstanding_student.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 | $0.00154 | $0.18375 |
| Opus 5 | $0.00077 | $0.09187 |
| Sonnet 5 | $0.00031 | $0.03675 |
| Haiku 4.5 | $0.00015 | $0.01837 |
Grade A, and why
outstanding_student 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.
How it starts
The opening of the file, as written. The whole thing — 966 lines — stays where its author put it; the contents beside it link to each section on GitHub.
优秀学生 / 优秀团员申请书 Skill
本 skill 处理"优秀学生申请书"与"优秀团员申请书"全流程：信息采集 → 书信体撰写 → docx 生成 → 质检。两类评优均评审本学年表现（与优秀毕业生 4 年跨度不同），正文 1500~2000 字（比优秀毕业生短），侧重本学年突出表现。优秀学生学业主导、学生干部履职为必填重点；优秀团员政治主导、团务工作为必填重点。
输出文件：可提交的 .docx（A4 纸张，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、主干课程表与学生干部履职表自动嵌入）。
一、适用场景与触发条件
适用：用户提到"优秀学生""优秀团员""校级优秀学生""院级优秀学生""校级优秀团员""院级优秀团员"等关键词，且本人非应届毕业（不是大四下学期）。
不适用（需走其他 skill）：
- 优秀毕业生（4 年跨度，2000~3000 字，应届毕业生）→ 走 outstanding_graduate
- 国家奖学金（一学年跨度，1200~2000 字，侧重本学年全国级成果）→ 走 national_scholarship
- 国家励志奖学金（含家庭经济情况段）→ 走 motivation_scholarship
- 文明大学生（侧重文明素养、道德品质，非学业+学生工作）→ 走文明大学生 skill
- 三好学生（部分学校与优秀学生合并评选，按学校规则走）
优秀学生 vs 优秀团员 速查区分：
| 维度 | 优秀学生 | 优秀团员 |
|---|---|---|
| 主导维度 | 学业+综合素质+学生工作 | 政治表现+团组织生活+志愿活动 |
| 必填重点段 | 学生工作（含学生干部履职表） | 团务工作（含团内职务+团日活动组织） |
| 学业门槛 | GPA 前 30%、加权≥80 | GPA 前 50%、加权≥75 |
| 政治面貌 | 不限（党员/团员/群众均可） | 必须是共青团员 |
| 志愿服务 | 建议≥30 小时 | 建议≥30 小时（重点项） |
| 评审主体 | 学院评审委员会 | 学院团委 |
| 字数 | 1500~2000 字 | 1500~2000 字 |
硬门槛（任一不达标直接劝退）：
- 优秀学生：本学年 GPA 排名前 30%、加权平均分≥80；本学年无挂科、无违纪处分；至少 1 项校级及以上荣誉
- 优秀团员：本学年 GPA 排名前 50%、加权平均分≥75；本学年无挂科、无违纪处分；政治面貌必须为共青团员；按时足额缴纳团费、完成"智慧团建"系统信息维护
触发后第一步：核对硬门槛与申报类别。若用户 GPA 不达门槛或政治面貌不符，告知"优秀学生评审侧重本学年学业与学生工作，优秀团员侧重政治表现与团务活动"。区分两类评优，分别按类别调整内容侧重与字段必填项。
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（8~12 轮对话）： 按"通用必采 → 本学年学业信息 → 思想政治信息 → 科研实践信息 → 学生工作或团务工作信息 → 生活信息"顺序采集。每轮不超过 5 个字段。关键缺失字段必须追问，禁止编造 GPA/排名/竞赛/论文/志愿服务时长/学生干部职务。
阶段 2 书信体撰写（一次性产出）： 按"标题 → 称呼 → 开头 → 思想方面 → 学习方面 → 科研与实践 → 学生工作（或团务工作） → 生活方面 → 结尾 → 落款"顺序撰写。正文 1500~2000 字，每段严格控制在规范区间。必须体现本学年表现（不是 4 年综合）。
阶段 3 docx 生成：
调用 python build.py --data data.json --out output.docx 生成 Word 文档。data.json 字段定义见第十二章。必须设置 category 字段为 outstanding_student 或 outstanding_youth_league。
阶段 4 质检： 按第十三章 30 项清单逐项检查。任何一项不达标返回阶段 2 修改。
禁止行为：
- 开头抒情堆砌（"时光荏苒""岁月如梭""一学年光阴转瞬即逝"）
- 形容词代替事实（"成绩优异""积极参加""全面发展"）
- 获奖不写级别与时间
- 学生干部只写头衔不写履职
- 4 年综合表现写入本学年评优（应聚焦本学年）
- 优秀团员申请书未提团组织生活与团日活动
- 结尾"恳请领导批准"
- 编造 GPA/排名/竞赛/论文/志愿服务时长/学生干部职务
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.
- 12d ago First seen · 966 lines · 154 tokens per session scan A 3186f34a4e57
outstanding_student is a skill published in the GitHub repository cuic19053-hue/-skills- (10 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 18,375 once invoked, about $0.0008 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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