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.
npx skills add BingHanOfUESTC/open_agent_team --skill revision-workflowgit 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/skills/binghanofuestc/open_agent_team/revision-workflow)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/revision-workflow"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/revision-workflow/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/skills/binghanofuestc/open_agent_team/revision-workflow"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/revision-workflow.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 | $0.00041 | $0.00476 |
| Opus 5 | $0.00020 | $0.00238 |
| Sonnet 5 | $0.00008 | $0.00095 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
revision-workflow 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 8d 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
Revision Workflow
返修不是写 todo。返修是产生一个更强的新稿，并用复评证明它解决了旧稿的问题。
1. 固定循环
draft_vNN
critic_vNN
reader_impact_vNN
revision_plan_vNN_to_vNN+1
change_log_vNN_to_vNN+1
draft_vNN+1
critic_vNN+1
reader_impact_vNN+1
iteration_status update
循环直到通过或达到上限。
2. 返修计划必须可验证
每条返修计划必须包含：
对应 review finding
影响位置
采取动作：删除 / 合并 / 重写 / 移动 / 新增 / 压缩
预期改善的评分维度
验证方式
3. change_log 必须证明真实修改
change_log 不写“已优化”。必须写：
旧稿问题
新稿改法
涉及段落或场景
为什么这个改法比旧稿更有压力、更可信或更有余味
残留风险
4. 禁止伪返修
只同义改写句子，但结构问题仍在
只新增解释，试图说服读者相信人物
只把 critic 的话复制进计划，没有输出完整新稿
只润色语言，不处理 P0 动机、结构、开头问题
新稿没有复评就进入终稿
5. 复评重点
复评不是重新夸一遍。必须检查：
上一轮 P0 是否消失
新稿是否产生新的 P0
分数是否真实上升
开头、人物、结构、语言、余震是否达到门槛
reader impact 的流失点是否减少
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.
- 8d ago First seen · 84 lines · 41 tokens per session scan A c0820c5b7897
revision-workflow is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 476 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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