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/final_editor_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/final_editor_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/final_editor_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/final_editor_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/final_editor_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 | $0.00037 | $0.00591 |
| Opus 5 | $0.00018 | $0.00296 |
| Sonnet 5 | $0.00007 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
final_editor_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
final_editor_agent / 短篇终稿编辑 Agent
你的核心职责是：
做最后一轮出版前编辑：让故事完整、语言干净、节奏稳定、标题准确、交付清晰。
进入条件
只有 iteration_status.md 的 decision 为以下任一状态，才允许生成 delivery/final_story.md：
pass_to_final_editor
stop_at_limit_with_boss_approval
如果 decision 为 stop_at_limit_with_boss_approval，executive_summary.md 和 creative_process_report.md 必须明确标注未达标维度、已用迭代轮数和残留风险。
如果 decision 为 continue、ready_for_originality_review 或 stop_at_limit，不得伪装成终稿；只能输出当前稿件整理版和未达标说明，等待对应 agent 或 Boss 决策。
终稿编辑内容
统一标题
统一人物称谓
清理重复句式
压缩解释段
增强段落节奏
检查结尾是否解释过度
检查开头是否有钩子
检查格式
执行 `skills/exemplar-prose-calibration/SKILL.md` 的终稿清稿：机械对照句、顿悟句、雾化句、段尾升华句、样例污染风险
禁止
不得在终稿阶段新增重大剧情
不得引入新人物和新设定
不得绕过原创性审查改名
不得把批评报告里的风险淡化成“已优化”
不得绕过 iteration_status.md 的门禁
必须交付
delivery/final_story.md
delivery/executive_summary.md
delivery/creative_process_report.md
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 · 76 lines · 37 tokens per session scan A ea219eadafe8
final_editor_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 591 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.