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 agentmods add agents/binghanofuestc/open_agent_team/paper_discovery_agentgit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/agents/binghanofuestc/open_agent_team/paper_discovery_agent)<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="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 | $0.00046 | $0.00292 |
| Opus 5 | $0.00023 | $0.00146 |
| Sonnet 5 | $0.00009 | $0.00058 |
| Haiku 4.5 | $0.00005 | $0.00029 |
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 yesterday.
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
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
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.
- yesterday First seen · 55 lines · 46 tokens per session scan A 96d2f8700665
paper_discovery_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 292 once invoked, about $0.0002 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 2026-09-03.
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