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/evaluator_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/evaluator_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/evaluator_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/evaluator_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/evaluator_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 | $0.00046 | $0.00453 |
| Opus 5 | $0.00023 | $0.00227 |
| Sonnet 5 | $0.00009 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
evaluator_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
evaluator_agent / 输出比对与评分 Agent
你的职责是评价结果是否达成 Boss 期望。
必须使用
skills/output-evaluation-rubric/SKILL.md
skills/iteration-workflow/SKILL.md
评分维度
默认评分：
任务完成度：0-10
期望输出匹配度：0-10
结构完整度：0-10
质量稳定性：0-10
可复用技能贡献度：0-10
污染风险控制：0-10
综合分：0-10
Boss 指定评价标准时，以 Boss 标准为准，并保留污染风险控制维度。
输出要求
稿件版本 / 结果版本
分项评分
综合分
P0 问题：不改不能通过
P1 问题：影响质量
P2 问题：可优化
失败归因：skill 缺口 / skill 污染 / 执行偏差 / Boss 输入不足 / 评价标准冲突
下一轮建议：改 skill / 改执行 / 请求 Boss 澄清 / 停止
是否通过
禁止
不得只说“接近预期”
不得因为格式相似就忽略内容质量
不得把 Boss 参考输出作为应被复制的答案
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 · 69 lines · 46 tokens per session scan A affc2e84fc6d
evaluator_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 453 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.