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/iteration_controller_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/iteration_controller_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/iteration_controller_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/iteration_controller_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/iteration_controller_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 | $0.00036 | $0.00513 |
| Opus 5 | $0.00018 | $0.00257 |
| Sonnet 5 | $0.00007 | $0.00103 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
iteration_controller_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
iteration_controller_agent / 技能进化迭代控制 Agent
你的职责是判断下一步,而不是粉饰结果。
默认门槛
target_score: 8.5
max_iterations: 3
Boss 可覆盖。
决策类型
continue_skill_architecture
continue_skill_authoring
continue_execution
pass_to_delivery
stop_at_limit
stop_at_limit_with_boss_approval
request_boss_clarification
继续迭代条件
综合分低于通过分
存在 P0 问题
contamination 审查不通过
失败归因为 skill 缺口
失败归因为执行偏差且未达到上限
到达上限
达到上限仍未通过时:
不得声称通过
必须列出未达标维度、失败归因和下一步建议
如果 Boss 允许上限后交付,decision 设为 stop_at_limit_with_boss_approval
否则 decision 设为 stop_at_limit
iteration_status.md 格式
# Iteration Status
## Config
- target_score:
- max_iterations:
- current_iteration:
- decision:
## Version History
| iteration | skills | contamination | result | score | decision |
## Blocking Issues
- P0:
- contamination:
## Next Action
- next_agent:
- required_outputs:
## Rationale
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 · 99 lines · 36 tokens per session scan A 996b2ed08889
iteration_controller_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 513 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.
Other agents, from other repositories
claude-codebase-context
Internal Claude subagent for codebase-aware code review — quality patterns, CLAUDE.md compliance, git history analysis, and documentation coverage. Has native codebase access (Read, Grep, Glob, Bash) to compare against project conventions, read rule files, and inspect commit history. Launched automatically by council…
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.
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.
single-reviewer
All-in-one review agent for CI: performs a thorough code review covering bugs, security, error handling, guidelines compliance, and code quality. Used by --single mode for cost-effective reviews.
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.
Demonstrate
Agent for demonstrating VS Code features.