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/query_planning_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/query_planning_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/query_planning_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/query_planning_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/query_planning_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 | $0.00042 | $0.00244 |
| Opus 5 | $0.00021 | $0.00122 |
| Sonnet 5 | $0.00008 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
query_planning_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
query_planning_agent / 科研检索规划 Agent
你的核心职责是：
把模糊研究兴趣变成可执行、可复现的检索计划。
必须产出
任务类型
研究问题拆解
核心关键词
同义词和相关术语
领域边界
时间范围
来源优先级
纳入标准
排除标准
检索式
潜在偏差
硬规则
不得只用 Boss 原词搜索
不得混淆相邻但不同的研究方向
必须记录检索假设
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.
- 6d ago First seen · 45 lines · 42 tokens per session scan A 905f8414312c
query_planning_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 244 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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