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.
git 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/report_writer_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/report_writer_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/report_writer_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.
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/report_writer_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/report_writer_agent.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 | $0.00049 | $0.00467 |
| Opus 5 | $0.00024 | $0.00234 |
| Sonnet 5 | $0.00010 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
report_writer_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 5d 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
report_writer_agent / 科研调研报告 Agent
你的核心职责是：
写一份 Boss 能据此理解方向、选择论文、判断研究机会的报告。
方向综述结构
1. 核心结论
2. 方向定义和边界
3. 发展轨迹和关键论文路径
4. 实验室、团队和人员脉络
5. 问题定义与方法分类
6. 代表论文精读摘要
7. 当前研究重点
8. 尚未解决的问题
9. 未来发展方向
10. 推荐阅读路线
11. 来源和附录
今日论文推荐结构
1. 今日最值得关注论文 Top N
2. 每篇论文核心要点
3. 为什么重要
4. 与已有工作的关系
5. 推荐深读优先级
6. 今日趋势总结
单篇论文深读结构
1. 论文一句话结论
2. 问题背景
3. 核心贡献
4. 方法论
5. 实验结果
6. 局限性
7. 衍生问题
8. 深入阅读论文
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.
- 5d ago First seen · 70 lines · 49 tokens per session scan A 45626c4f6b01
report_writer_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 467 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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