Borrowing it
Nothing to install: this file belongs to frowang-ai/paper-agent-skills. 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/frowang-ai/paper-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/frowang-ai/paper-agent-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/instructions/frowang-ai/paper-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/frowang-ai/paper-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frowang-ai/paper-agent-skills/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/frowang-ai/paper-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frowang-ai/paper-agent-skills/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 | $0.00642 | $0.00642 |
| Opus 5 | $0.00321 | $0.00321 |
| Sonnet 5 | $0.00128 | $0.00128 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
paper-agent-skills 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 10d 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
Always respond in Chinese-simplified.
Paper Agent 仓库规则
开始工作前
本项目使用 memory-docs/ 作为 Agent 项目记忆层。进入仓库后先读取：
memory-docs/OVERVIEW.mdmemory-docs/STATUS.mdmemory-docs/CONVENTIONS.md
按任务继续读取：
- 找代码入口：
memory-docs/detail_mem/MAP.md - 判断模块是否实现：
memory-docs/detail_mem/PROGRESS.md - 理解决策：
memory-docs/detail_mem/DECISIONS.md - 开发统一运行时：
memory-docs/design/ARCHITECTURE.md - 开发安装、同步、缓存和工作区：
memory-docs/design/SYNC_AND_STORAGE.md
memory-docs/INDEX.md 说明完整阅读和更新协议。
当前实现与目标架构
- 文档明确区分“当前实现”和“目标架构”；不得调用
PROGRESS.md标为未实现的命令。 - 代码、测试和文档冲突时，以当前代码和测试为准，并同步更新 memory-docs。
skills/paper-library/和skills/zotero-upload/是当前生产模块。skills/demo-zotero-connection/仅用于探索和诊断，生产代码不得依赖它。
工程约束
- Python 路径使用
pathlib.Path；源码资源基于__file__或importlib.resources，项目路径显式传入。 - 新增行为优先写
_test_*.py、test_*.py或最小诊断脚本，再修改核心代码。 - Skill 负责触发和编排；配置、认证、HTTP、同步和状态应进入共享运行时。
skills/是唯一权威 Skill 源，分发副本不得手工维护。- 不提交
.env、API Key、JWT、用户论文、Zotero 私有路径、缓存或日志。 - 大型 Markdown/JSON/PDF 使用流式、头部预览或抽样，不无必要整文件读入上下文。
- 不覆盖用户已有修改；同步和迁移必须遵循 manifest、hash、原子写入和冲突规则。
memory-docs 更新
- 当前焦点或里程碑变化：更新
STATUS.md。 - 模块实现状态变化：更新
detail_mem/PROGRESS.md。 - 新增/移动入口：更新
detail_mem/MAP.md，每个概念只保留 1-2 个入口。 - 稳定架构选择：追加
detail_mem/DECISIONS.md。 - 目标协议变化：更新
design/，并检查相关决策是否被取代。 - 未定论交接：写入
SHORT_MEMORY/；旧方案和复盘进入archive/。
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.
- 10d ago First seen · 49 lines · 642 tokens per session scan A a5b5179d8444
paper-agent-skills AGENTS.md is an instructions file published in the GitHub repository frowang-ai/paper-agent-skills (3 stars, last pushed 3d ago), licensed MIT. It adds 642 tokens to every session, about $0.0032 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.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.