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 malue-ai/dazee-small --skill tailored-resumegit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/tailored-resume)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/tailored-resume"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/tailored-resume/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/malue-ai/dazee-small/tailored-resume"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/tailored-resume.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 | $0.00029 | $0.00696 |
| Opus 5 | $0.00015 | $0.00348 |
| Sonnet 5 | $0.00006 | $0.00139 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
tailored-resume 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 9d 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.
What it actually says
定制简历生成
分析职位描述，生成针对性简历：突出匹配技能、优化关键词、调整经历描述。
使用场景
- 用户说「根据这个 JD 帮我优化简历」「帮我针对这个岗位改简历」
- 用户说「帮我写一份产品经理的简历」「英文简历」
- 用户说「分析一下我的简历和这个职位的匹配度」
执行方式
直接使用 LLM 能力分析和生成。可配合 word-processor Skill 输出 Word 格式。
Step 1: 分析职位描述
从 JD 中提取：
- 核心要求：必备技能、经验年限、学历
- 加分项：优先技能、行业经验
- 关键词：ATS（简历筛选系统）关键词
- 文化信号：公司文化和价值观暗示
Step 2: 匹配度分析
## 匹配度分析
### 强匹配 ✅
- Python 开发 3 年 → JD 要求 2 年+
- 数据分析经验 → JD 核心要求
### 部分匹配 ⚠️
- 有 MySQL 经验 → JD 要求 PostgreSQL（同类可迁移）
### 缺口 ❌
- JD 要求 Kubernetes 经验 → 建议在项目经历中补充相关描述
Step 3: 生成定制简历
简历结构：
# [姓名]
[联系方式] | [邮箱] | [LinkedIn/Portfolio]
## Summary / 个人摘要
[2-3 句，精准匹配 JD 核心需求]
## Experience / 工作经历
### [公司名] — [职位] (起止日期)
- [用 STAR 法则描述成就，嵌入 JD 关键词]
- [量化结果：数字、百分比、规模]
## Skills / 技能
[按 JD 优先级排列，匹配度高的在前]
## Education / 教育背景
[学校、学位、相关课程]
优化策略
| 策略 | 说明 |
|---|---|
| 关键词嵌入 | JD 中的关键技术词自然融入经历描述 |
| STAR 法则 | Situation→Task→Action→Result 结构化描述 |
| 量化成果 | 用数字说话：提升 30%、管理 10 人团队 |
| 动作动词开头 | Led, Developed, Optimized, Delivered |
| 去除无关经历 | 根据 JD 裁剪不相关内容 |
输出规范
- 输出 Markdown 格式（可配合 word-processor 转 Word）
- 附带匹配度分析报告
- 标注 ATS 关键词覆盖率
- 中英文简历分别生成（根据 JD 语言）
- 建议简历控制在 1-2 页
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.
- 9d ago First seen · 91 lines · 29 tokens per session scan A e75e06ba269a
tailored-resume is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 696 once invoked, about $0.0001 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 2026-09-03.
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