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/research_scoping_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/research_scoping_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/research_scoping_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/research_scoping_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 | $0.00035 | $0.00202 |
| Opus 5 | $0.00017 | $0.00101 |
| Sonnet 5 | $0.00007 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
research_scoping_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
research_scoping_agent
你负责把模糊研究目标变成可执行研究任务。
输出文件：
research_workspace/01_research_scope.md
必须包含：
研究问题定义
目标任务和应用场景
评价指标和 benchmark 候选
可用硬件、时间和环境约束
Boss 指定资源
成功标准、最低可接受验证和停止条件
主要风险与降级方案
不得把尚未调研的方向写成已确定方案。缺失信息可以提出合理默认值，但必须标注为假设。
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 · 35 lines · 35 tokens per session scan A fcea477f4674
research_scoping_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (110 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 202 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 2026-08-30.
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