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 frowang-ai/paper-agent-skills --skill paper-workspacegit 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/skills/frowang-ai/paper-agent-skills/paper-workspace)<a href="https://agentmods.dev/skills/frowang-ai/paper-agent-skills/paper-workspace"><img src="https://agentmods.dev/badge/skills/frowang-ai/paper-agent-skills/paper-workspace/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/frowang-ai/paper-agent-skills/paper-workspace"><img src="https://agentmods.dev/badge/skills/frowang-ai/paper-agent-skills/paper-workspace.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 | $0.00096 | $0.01115 |
| Opus 5 | $0.00048 | $0.00558 |
| Sonnet 5 | $0.00019 | $0.00223 |
| Haiku 4.5 | $0.00010 | $0.00112 |
Grade A, and why
paper-workspace 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 4d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Workspace
使用 paper-agent workspace 管理项目论文集合，并使用本地 rg 深读正文。服务器 Collection
是长期候选池，workspace 是当前项目的活跃工作集，两者不要混用。
前置检查
paper-agent config init
paper-agent auth status
paper-agent doctor
若 doctor 输出中的 update 检查显示 update_available（或运行 paper-agent update check
确认），告知用户有新版本；经用户确认后执行 uv tool install paper-agent-skills --upgrade，
再运行 paper-agent skills update --platform all 刷新已安装 Skill，然后重跑用户原本的命令。
认证缺失时，请用户直接把 API Key 发过来，然后运行 paper-agent auth set --stdin 代为配置；
用户也可以自己在终端运行 paper-agent auth set 隐藏输入。提醒用户：该 Key 权限很高，可访问
和修改其整个论文库，不要泄露给他人。配置完成后无需复述 Key。
始终向 workspace 命令传入明确的项目根路径，不根据 Skill 安装目录或不确定的 cwd 猜测。
建立工作区
paper-agent workspace init /absolute/project/root
paper-agent workspace status /absolute/project/root
init 只创建 <project>/papers/manifest.json，不会下载整个远程论文库。
发现并加入论文
先通过 paper-library 工作流在服务器 L1/L2 中缩小候选范围，再加入用户确认的论文：
paper-agent library search "instrumental variables" --limit 10
paper-agent library show P-3a
paper-agent workspace add /absolute/project/root P-3a P-8f
add 自动把 text profile 同步到用户级 Global Artifact Store，再复制
metadata.json、full.md、layout.json 和 attribute_tree.json（存在时）到项目。
其中 metadata.json 是服务端抽取的学术元数据（含 citations.apa、citations.bibtex、
citations.csl_json 三种引文格式），
论文记录与处理状态用 library show 实时查询。目录按 metadata 生成为
年份-作者-短标题--P-xxx，例如 2024-Smith-et-al-Inflation-Dynamics--P-3a。目录名只用于
浏览，论文身份以 manifest 的 canonical ID 为准。不要把远程库全部加入单个项目。
本地深读
先限制命中文件和数量，再读取上下文，避免把所有全文塞入 context：
rg -l "difference-in-differences" /absolute/project/root/papers/*/full.md
rg -n -C 5 "parallel trends" /absolute/project/root/papers/*/full.md
引用证据时记录论文 short ID、文件路径和行号。需要页码或版式时再读取同目录
layout.json。本地全文没有命中时再调整术语或正则，不要自动回退到服务端 L3。
状态和同步
paper-agent workspace list /absolute/project/root
paper-agent workspace status /absolute/project/root
paper-agent workspace sync /absolute/project/root
paper-agent workspace sync /absolute/project/root P-3a
status 是纯本地检查，不要求认证。sync 查询最新 remote revision；managed file 被本地
修改或缺失时返回 CONFLICT，不得自动覆盖。notes.md、reading.md 等 manifest 未声明
文件属于用户，更新时必须保留。
What ships with it
2 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.
- 4d ago Changed · +5 lines 800c3dc62cb7
- 12d ago First seen · 98 lines · 96 tokens per session scan A d8625056afd6
paper-workspace is a skill published in the GitHub repository frowang-ai/paper-agent-skills (3 stars, last pushed 5d ago), licensed MIT. It adds 96 tokens to every session and 1,115 once invoked, about $0.0005 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 skills, from other repositories
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
read
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…
overleaf-sync
A two-way connection between a local paper folder and Overleaf, a web-based LaTeX editor for writing research papers. It lets you move changes between the local files and the shared Overleaf project.