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 Claycui828/ASu-resume-skills --skill asu-resume-skillgit clone --depth 1 https://github.com/Claycui828/ASu-resume-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/claycui828/asu-resume-skills/asu-resume-skill)<a href="https://agentmods.dev/skills/claycui828/asu-resume-skills/asu-resume-skill"><img src="https://agentmods.dev/badge/skills/claycui828/asu-resume-skills/asu-resume-skill/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/claycui828/asu-resume-skills/asu-resume-skill"><img src="https://agentmods.dev/badge/skills/claycui828/asu-resume-skills/asu-resume-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00202 | $0.02280 |
| Opus 5.5 | $0.00081 | $0.00912 |
| Sonnet 5.5 | $0.00040 | $0.00456 |
| Haiku 4.5 | $0.00020 | $0.00228 |
Grade A, and why
asu-resume-skill 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 2mo 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ASU 式真实技术履历生成 Skill
生成“第一眼信息量爆炸,第二眼仍能逐条对应真实经历”的中文技术履历。默认面向小红书长图、技术主页和内部展示;用户明确要求求职版时,降低戏剧化措辞并保留相同事实
默认交付
resume-data.json:真实来源驱动的结构化履历。resume.html:自包含、适合浏览器长图截图的网页。resume.pdf:2–3 页 A4 PDF。xiaohongshu-copy.md:基于真实经历的发布配文。
生成原则
真实骨架直接保留
用户授权提供的以下信息可以原样使用:
- 姓名、学校、学位、公司、部门、岗位和日期;
- 真实项目名、技术方案、论文/专利/分享;
- 文档中明确出现且口径可解释的指标;
- 用户本人对内部职责的一手陈述。
不要自动把真实名称改成“某公司”“某学校”,也不要在每项后添加“虚构”。只有用户要求匿名化时才替换。
只增强表达,不创造事实
允许:
- 把真实技术过程整理成
输入 -> 表征 -> 规划 -> 工具 -> 状态 -> 评测链路; - 将同一项目里的真实模型、框架、训练策略和部署组件集中呈现;
- 使用
Workflow / ReAct / Harness / Context Engineering / Benchmark / ModelOps等与项目相符的术语; - 用“从模型节点到 Agent 系统再到长程续跑”等宏观主线概括真实演进;
- 通过标题、排比、节奏和技术名词密度制造幽默反差。
禁止:
- 增加不存在的学历、Title、Offer、薪资、项目、开源角色或业务结果;
- 把
参与改成主导/Owner/核心作者; - 把规划中的工作写成已经落地;
- 改写原始分母或把不同指标相加;
- 用公司、项目 Star 或团队成果暗示个人完成全部结果。
角色强度按来源写
- 来源写“独立负责” → 优先写
模块级 Owner / 端到端链路 Owner / 从 0→1,同时限定到具体模块; - 来源写“主要负责” → 可写
策略架构 Owner / 方向负责人,正文保留具体责任边界; - 来源写“参与推进/共建” → 写成
系统级共建者 / 核心参与者,不伪造为全局 Owner; - 来源写“计划/未来方向” → 标成
当前方向 / 规划中,不能改成上线结果。
每个重点项目都要先做一次“Owner 化拆分”:寻找本人真正独立完成或主要负责的最小闭环,例如 数据治理链路、策略架构、量化部署、分布诊断。可对这个闭环使用 Owner 和 0→1,但不能把词的作用域外扩到整个公司平台。
学校 Title 增强
对教育经历必须查学校官网、教育主管部门或正式高校联盟页面,提取真实但高势能的机构标签:
- 建设序列:
双一流 / 原 211 / 部市共建 / 研究型大学; - 历史定位:
本国第一所大学 / 创校年份; - 高校联盟:
Group of Eight / C9 / Russell Group等真实成员关系; - 学位事实:本科、硕士、联合培养和学位授予方必须分开,不能把地理位置或合作项目写成不存在的学位。
标题采用 学校名|机构 Title 1|机构 Title 2|学位,把来源 URL 写入 source_note。不得将澳洲学历写成“美本”,也不得把部市共建写成“中央部委直属”。
视觉与措辞
生成前阅读 references/style-guide.md。必须具备:
- 蓝色衬线分区标题、浅红/浅蓝/浅绿经历条;
- 公司、部门、日期、方向标签同一行;
- 项目固定使用“背景 / 指标与效果 / 我的职责 / 技术关键词”;
- 每个重点项目至少 5–10 个与来源一致的专业术语;
- 能从来源成立的项目必须出现限定 Scope 的
Owner、0→1与端到端闭环;不能成立时改用共建者/核心参与者; - 责任 bullet 优先使用技术链、失败分类、数据闭环或架构演进;
- 教育、实习/工作、技术项目与沉淀、奖项与技能等完整分区;
- 不添加水印、免责声明或“虚构”标记。
工作流
1. 完整读取经历来源
读取用户提供的简历、飞书文档、截图或个人主页。长文档先取目录,再按章节完整读取。对每段经历记录:
- 事实身份:组织、部门、岗位、日期;
- 角色边界:独立负责、主要负责、参与或规划;
- 项目目标、技术难点、方案链路;
- 指标、基线、结果与时间窗口;
- 模型、框架、训练、部署、数据与评测术语;
- 分享、专利、奖项和公开材料。
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.
- 2mo ago First seen · 170 lines · 202 tokens per session scan A 6df38064a3d4
asu-resume-skill is a skill published in the GitHub repository Claycui828/ASu-resume-skills (426 stars, last pushed 2mo ago), licensed MIT. It adds 202 tokens to every session and 2,280 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-08-30.
asu-resume-skill compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| asu-resume-skillClaycui828/ASu-resume-skills | Skill | 426 | 2mo ago | MIT | A | 202 | Codex |
| docxlingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 184 | Claude Code |
| dsh-office-artifactshackerFish/awesome-dsh-skills | Skill | 5 | 2mo ago | MIT | A | 37 | Claude Code, Codex |
| xlsxlingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 206 | Claude Code |
| apify-generate-output-schemalingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 45 | Claude Code |
| resumxresumx/skills | Skill | 29 | 7mo ago | MIT | A | 67 | Claude Code, Codex |
| pdflingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 92 | Claude Code |