Borrowing it
Nothing to install: this file belongs to amlei/amlei-resume. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/amlei/amlei-resume/main/AGENTS.mdgit clone --depth 1 https://github.com/amlei/amlei-resumeWrote 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/instructions/amlei/amlei-resume/agents-md)<a href="https://agentmods.dev/instructions/amlei/amlei-resume/agents-md"><img src="https://agentmods.dev/badge/instructions/amlei/amlei-resume/agents-md/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/instructions/amlei/amlei-resume/agents-md"><img src="https://agentmods.dev/badge/instructions/amlei/amlei-resume/agents-md.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 | $0.01515 | $0.01515 |
| Opus 5.5 | $0.00606 | $0.00606 |
| Sonnet 5.5 | $0.00303 | $0.00303 |
| Haiku 4.5 | $0.00152 | $0.00152 |
Grade A, and why
amlei-resume AGENTS.md 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 today.
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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
本仓库是 Agent Skill 包（agentskills.io 规范，作为 Claude Code 插件与 WorkBuddy 专家包发布），不是应用。
没有 build / test / lint / dev server——package.json 的 scripts 为空，CI 已移除（发布是手动 npm publish）。
"验证一个改动" = 跑相关 python3 scripts/*.py --help，或用 skills/amlei-resume/references/sample-resume.md 走一遍导出流程。
两个 skill 的分层（改内容前必读）
| skill | 拥有的内容 | 消费关系 |
|---|---|---|
amlei-resume |
记忆底座 profile.md（事实层）+ materials/（跨方向证据池）+ identities/{id}/ 各方向简历产物（组织层） |
自包含；参考文件入口 references/index.md，事实写入规则在 references/profile.md，整个目录与材料池规范在 references/file.md，简历 DSL 在 references/resume-format.md |
amlei-portfolio |
简历数据根 portfolio/ 下的 {identity-id}-作品集.md 与跨方向共用素材 |
入口 SKILL.md，作品集格式与目录规范在 references/portfolio-format.md；Skill 定义和 reference 独立，但作品集运行数据归属于简历数据根 |
WorkBuddy 专家包的根目录是仓库根：.codebuddy-plugin/plugin.json（市场清单）+ agents/amlei-resume.md（统一人设，只写人设不复制技能规则）+ avatars/expert.png（512×512 头像）+ skills/（两个独立技能本体）。市场要求的 skills 字段格式「./skills/」从仓库根解析正好指向对应技能。打市场包：仓库根执行 zip -r amlei-resume.zip .codebuddy-plugin agents avatars skills README.md LICENSE -x "*.DS_Store"。
岗位调研不单独成 skill——agent 自带搜索，需要时按 references/job-research.md 联网调研。
改简历内容时，记忆判别在 skills/amlei-resume/SKILL.md 的「记忆与材料」一节：原始素材先落 materials/；只有"未来简历会用到 + 有证据 + 跨方向不变"的客观事实进 profile.md；具体求职范围进 target.json；简历措辞、投递局部信息不写回。
改作品集内容时，定位、案例、结果、证据和发布信息都直接写入 .amlei-skill/resume/portfolio/{identity-id}-作品集.md；图片与视频放在同根、跨方向共用的 assets/。作品集 Skill 不复制或修改 profile.md、target.json 与简历正文，也不复用简历 Skill 的 reference。
SKILL 写的是通用场景，不绑定某个专业领域。 规则、易错点、追问钩子都要写成领域无关的抽象表述；某项确需举例说明时，措辞为「以**领域为例」（如「以计算机领域为例」「以运营领域为例」），不能把整条规则围绕单一领域写死——否则换领域的人读到会觉得"这不适用于我"。
判断类内容的写法
筛选、选材和表达等开放判断应围绕一个核心决策问题展开，用"需要什么判断 → 凭什么相信 → 证据不足时如何行动"的链条推导，不要堆成互不关联的检查清单。
具体指标、工具或案例只能作为领域示例，不能升级为所有用户都必须满足的标准。格式、安全、隐私和权限仍用明确规则表达。
独立判断模块必须由主流程明确引用并说明执行时机，避免成为 Agent 不知道何时使用的孤立章节。同一判断只保留一个执行点；每轮已经自问，就不再增加重复的终审步骤。
脚本与外部依赖
脚本在 skills/amlei-resume/scripts/，直接可用，不依赖 CLI：
wrap_preview.py：把渲染好的简历正文包进 A4 预览壳（Paged.js 分页）。export_long_image.py：导出简历长图（招聘平台聊天框发送用）。extract_avatar.py：从旧简历提取证件照。
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.
- today Changed · +9 lines · +448 tokens per session c5128521c68c
- 2d ago Changed · +7 lines · +72 tokens per session 1982ff4d94cb
- 1mo ago First seen · 44 lines · 995 tokens per session scan A 0e7117d90d75
amlei-resume AGENTS.md is an instructions file published in the GitHub repository amlei/amlei-resume (22 stars, last pushed yesterday), licensed MIT. It adds 1,515 tokens to every session, about $0.0061 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.