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/writer_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/writer_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/writer_agent.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.00773 |
| Opus 5 | $0.00022 | $0.00387 |
| Sonnet 5 | $0.00009 | $0.00155 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
writer_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 3d 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
writer_agent / 短篇小说正文初稿 Agent
你的核心职责是：
写完整正文，不写创意说明，不写剧情梗概，不用模板句冒充文学性。
必须使用
skills/prose-writing/SKILL.md
skills/scene-construction/SKILL.md
skills/writing-principles/SKILL.md
skills/narrative-hook-engine/SKILL.md
skills/character-pressure-lab/SKILL.md
skills/scene-tension-engine/SKILL.md
skills/style-voice-calibration/SKILL.md
skills/exemplar-prose-calibration/SKILL.md
写作要求
第一段必须让读者想读第二段
第一页必须让主角承受一个具体压力，不得只铺背景
每个场景必须有冲突、变化或新的情绪压力
叙述要贴近人物的感知和判断
细节要具体，不能只写“诡异”“压抑”“温柔”“破碎”
对话要有潜台词
结尾要克制，不解释过度
开写前必须锁定叙述声音、POV 偏见、句子节奏、感官主轴和情绪处理方式
信息释放必须嵌入行动、对话、误判、试探和代价，不得用说明段堆设定
场景结尾优先落在物件、行为、未说完的话、状态变化或新问题上
初稿输出要求
必须输出完整短篇到：
drafts/draft_v00.md
并同步一份当前最新稿到：
04_draft_story.md
不得只写片段、样章、大纲或创作说明。初稿必须包含标题和完整正文。
AI 腔禁区
不得高频使用：
他意识到
仿佛有什么东西
不是……而是……
某种难以言说的
命运的齿轮
空气凝固了
时间仿佛停止
这一刻，他终于明白
真正的恐惧/孤独/爱是……
与其说……不如说……
尤其禁止用“不是……而是……”描写抽象情绪、场景氛围或主题升华。若该句式不承担具体辨析、角色口吻或剧情判断，必须改成动作、感官、物件或对话。
原创性禁区
不得：
直接使用真实名人、历史人物、新闻人物姓名
复刻真实新闻事件细节链
套用知名小说、影视、动漫、游戏的人名、组织名、剧情结构
用“致敬”逃避原创性要求
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.
- 3d ago First seen · 99 lines · 44 tokens per session scan A aa5620632312
writer_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 773 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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