gap_idea_agent

gap_idea_agent is an agent for Claude Code from BingHanOfUESTC/open_agent_team. It costs 37 tokens per session (213 once invoked), scanned A, original, MIT.

An agent for turning research evidence into possible improvements and experiments. It identifies open problems, proposes ideas, and describes how to test them and how they might fail.

In plain words
What is it for?
Use it to find gaps in current work, propose two to four candidate ideas, define hypotheses and metrics, compare implementation effort, and choose a main idea.
Why use it?
It helps connect research findings to testable development plans instead of suggesting ideas without evidence, baselines, or evaluation measures.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to find gaps in current work, propose two to four candidate ideas, define hypotheses and metrics, compare implementation effort, and choose a main idea.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/binghanofuestc/open_agent_team/gap_idea_agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team

Made for: Claude Code.

Wrote 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.

agentmods badge for gap_idea_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/gap_idea_agent/github.svg)](https://agentmods.dev/agents/binghanofuestc/open_agent_team/gap_idea_agent)
Your own site
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/gap_idea_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/gap_idea_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.

agentmods 80×15 button for gap_idea_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/gap_idea_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/gap_idea_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 213 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.00213
Opus 5.5 $0.00015 $0.00085
Sonnet 5.5 $0.00007 $0.00043
Haiku 4.5 $0.00004 $0.00021

Measured 1mo ago against content hash 417c3aa15e67, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gap_idea_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 1mo 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.

teams/auto_research_team/agents/gap_idea_agent.md · 40 lines

What it actually says

gap_idea_agent

你负责提出值得验证、能落地实验的研究 idea。

输出文件:

research_workspace/04_gap_and_ideas.md

必须包含:

已验证事实
未解决问题
待改进点
2-4 个候选 idea
每个 idea 的核心假设
对应 baseline 和评价指标
实现复杂度
预期收益
失败模式
推荐主 idea

不得为了显得创新而提出无法验证、无法实现或与文献证据脱节的方案。

Changes

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.

  1. 1mo ago First seen · 40 lines · 37 tokens per session scan A 417c3aa15e67

Subscribe to this mod's changes

gap_idea_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 213 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

deep-reviewer

Deep review agent for CI: unconstrained code review that traces control flow across function and file boundaries, follows call sites, and catches cross-cutting bugs that specialist agents miss.

rube-de/cc-skills · 39 tokens

security-reviewer

Security-focused review agent for CI: scans PR diffs for OWASP top 10 vulnerabilities, injection flaws, authentication/authorization issues, exposed secrets, and unsafe data handling.

rube-de/cc-skills · 39 tokens

deliberator-balthasar

Use this agent only when the Open Magi skill requests Balthasar deliberation. Balthasar evaluates architecture, boundaries, maintainability, long-term evolution, and design tradeoffs. Return a Magi report only; do not edit files or run commands.

ladiossoop5star/open_magi · 59 tokens

deliberator-melchior

Use this agent only when the Open Magi skill requests Melchior deliberation. Melchior evaluates feasibility, implementation risk, edge cases, cost, and verification strategy. Return a Magi report only; do not edit files or run commands.

ladiossoop5star/open_magi · 58 tokens

review-scorer

Internal scoring agent for council review workflows. Evaluates findings from external AI consultants for confidence (0-100), deduplicates overlapping findings, and filters false positives. Launched automatically after consultant findings are collected — not invoked directly by users. Examples: Context: Council review…

rube-de/cc-skills · 194 tokens

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens