Borrowing it
Nothing to install: this file belongs to Dictation354/paper-fetch-skill. 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/Dictation354/paper-fetch-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/Dictation354/paper-fetch-skillWrote 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/dictation354/paper-fetch-skill/agents-md)<a href="https://agentmods.dev/instructions/dictation354/paper-fetch-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/dictation354/paper-fetch-skill/agents-md.svg" alt="Measured on agentmods" 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 | $0.00709 | $0.00709 |
| Opus 5 | $0.00354 | $0.00354 |
| Sonnet 5 | $0.00142 | $0.00142 |
| Haiku 4.5 | $0.00071 | $0.00071 |
Grade A, and why
paper-fetch-skill 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 3d 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
Working Style
- 默认使用简体中文。
- 优先复用项目已有实现和依赖；不要仅因存在网络上的成熟包而新增依赖。
- 仅当改动影响公开行为、使用方式或项目契约时，同步对应文档。
- 提交时除非明确说明，不要触发 GitHub CI。
Testing
- 默认并行运行测试，复用
pyproject.toml中的pytest配置，不要在常规 unit / integration 验证中添加-n 0。 - 完整 unit 验证使用
PYTHONPATH=src uv run python -m pytest tests/unit -q。 - 完整 integration 验证使用
PYTHONPATH=src uv run python -m pytest tests/integration -q。 - 只有 live 测试、依赖共享外部状态的测试，或明确需要排查顺序/竞态问题时，才使用
-n 0串行运行，并在结果中说明原因。 - 仅当测试命令、依赖、平台矩阵或 CI 契约发生变化时同步 GitHub CI；普通代码修改不改 CI 配置。
- 每次更改版本号准备发布版本时，需要运行上述完整 unit、integration 以及
uv run python scripts/sync_version.py --check；发布候选还需按docs/deployment.md运行相应 build/install 终验。
macOS Adaptation
- 修改 Unix 安装器、macOS 离线支持矩阵、安全不变量、Camoufox / Playwright 浏览器边界或原生/portable 证据边界时，同步精简后的
docs/macos-adaptation-contract.toml、对应测试和相关说明；全平台 release 资产事实继续由 workflow、installer manifest 与 release asset owner 维护，不复制进 macOS 契约。 - 先运行
python scripts/validate_macos_adaptation.py。原生 Windows 使用scripts/test-macos-contract.ps1；WSL/Linux 使用scripts/test-macos-contract.sh，且必须使用原生 Linux Python/venv。 - Windows 或 WSL 绿灯不能替代
.github/workflows/verify.yml的原生macos-15/CPython 3.14 gate；release 的 CPython 3.11–3.14 原生矩阵由.github/workflows/offline.yml覆盖。/mnt/*下的 WSL checkout 只能执行降级的静态契约验证，不能提供 symlink、文件模式、大小写或原生 macOS 证据。
Project Boundaries
- paper-fetch 只负责已知论文的身份解析、全文获取、验收与报告；不扩展为开放式领域检索、通用研究平台或新的工作流框架。
- 保留并复用现有状态机、五个预设、resolver/provider adapter、CLI/MCP 落盘语义、cache/artifact、统一 acceptance、来源追踪和合法访问约束。
- 单一 provider、执行面或失败路径的问题默认局部修复；除非存在明确的跨 provider 契约或回归证据，不调整全局 cache、retry、fallback、browser 或错误分类策略。
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.
- 3d ago Changed · +1 lines · +53 tokens per session 41ed58810b91
- 7d ago First seen · 23 lines · 656 tokens per session scan A 6d3260428a8b
paper-fetch-skill AGENTS.md is an instructions file published in the GitHub repository Dictation354/paper-fetch-skill (239 stars, last pushed yesterday), licensed MIT. It adds 709 tokens to every session, about $0.0035 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 2026-08-30.
Other instructions, from other repositories
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).
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.
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 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).
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.