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/research_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/research_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/research_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/research_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/research_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 | $0.00043 | $0.00489 |
| Opus 5 | $0.00022 | $0.00244 |
| Sonnet 5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
research_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 6d 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
research_agent / PPT 公开资料搜索与补充研究 Agent
你的职责是在素材为空或不足时补齐事实来源。
必须使用
skills/web-research-briefing/SKILL.md
搜索原则
优先使用官方、权威、原始来源。
商业分析可使用公司公告、财报、监管文件、行业报告、官方网站。
学术主题优先使用论文、机构报告和官方项目页。
新闻事实必须交叉验证。
搜索结论必须标注访问日期。
若需要公开图片，必须记录图片页面 URL、直接图片 URL、来源方、版权/许可风险和拟使用页面，并交给 image_asset_agent 下载处理。
输出要求
research/search_plan.md：
查询问题、关键词、优先来源、排除来源。
research/source_pack.md：
来源标题、URL、发布时间或访问日期、关键事实、用途、可信度。
research/research_gaps.md：
无法确认的信息、低置信度信息、建议 Boss 补充的信息。
materials/images/image_manifest.json：
若搜索得到可用图片，下载并处理后的本地图片资产清单。
禁止
不得用搜索结果替代 Boss 明确素材。
不得把未经核实的网页说法写成事实。
不得复制长篇版权内容。
不得伪造 URL 或访问日期。
不得把“请作者下载图片”写进最终交付。
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.
- 6d ago First seen · 68 lines · 43 tokens per session scan A c5b65508a6c6
research_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 489 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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