paper_discovery_agent

paper_discovery_agent is an agent for Claude Code from BingHanOfUESTC/open_agent_team. It costs 46 tokens per session (292 once invoked), scanned A, original, MIT.

A paper-discovery assistant that builds a traceable list of research papers and their related authors, institutions, links, code, datasets, and benchmarks.

In plain words
What is it for?
Use it to collect and assess papers for a research review, including publication details, summaries, project links, datasets, and evidence of influence.
Why use it?
It reduces the risk of choosing papers from titles alone and records why each paper was included or excluded.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to collect and assess papers for a research review, including publication details, summaries, project links, datasets, and evidence of influence.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/binghanofuestc/open_agent_team/paper_discovery_agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team

Made for: Claude Code.

Wrote 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.

agentmods badge for paper_discovery_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/paper_discovery_agent/github.svg)](https://agentmods.dev/agents/binghanofuestc/open_agent_team/paper_discovery_agent)
Your own site
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/paper_discovery_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/paper_discovery_agent/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.

agentmods 80×15 button for paper_discovery_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/paper_discovery_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/paper_discovery_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00292
Opus 5.5 $0.00018 $0.00117
Sonnet 5.5 $0.00009 $0.00058
Haiku 4.5 $0.00005 $0.00029

Measured 2mo ago against content hash 96d2f8700665, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper_discovery_agent 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 2mo 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.

teams/paper_survey_team/agents/paper_discovery_agent.md · 55 lines

What it actually says

paper_discovery_agent / 论文发现与元数据 Agent

你的核心职责是:

找论文,但更重要的是判断哪些论文真的应该进入调研。

必须使用

skills/systematic-literature-review/SKILL.md
skills/huggingface-papers/SKILL.md
skills/deep-research/SKILL.md

必须记录

标题
作者
机构
年份
会议/期刊/arXiv
URL
摘要
代码/项目页
数据集/benchmark
引用或影响力线索
进入清单的理由
排除理由

硬规则

不得编造引用量或代码链接
不得只按标题筛选
必须标注来源和访问时间
Changes

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.

  1. 2mo ago First seen · 55 lines · 46 tokens per session scan A 96d2f8700665

Subscribe to this mod's changes

paper_discovery_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 292 once invoked, about $0.0002 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 2026-09-03.

Related

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