GOD is a control room for observing and directing societies of language-model agents running in simulated worlds. It lets researchers inspect replays, question individual agents, alter future events, reset simulations, and export experiments for reuse. The catalogue entries are skills and agents for operating and investigating these simulations.
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 XiaoLuoLYG/GOD --skill doc-updategit clone --depth 1 https://github.com/XiaoLuoLYG/GODWrote 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/xiaoluolyg/god/doc-update)<a href="https://agentmods.dev/skills/xiaoluolyg/god/doc-update"><img src="https://agentmods.dev/badge/skills/xiaoluolyg/god/doc-update/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/xiaoluolyg/god/doc-update"><img src="https://agentmods.dev/badge/skills/xiaoluolyg/god/doc-update.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01261 |
| Opus 5 | $0.00019 | $0.00630 |
| Sonnet 5 | $0.00008 | $0.00252 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
doc-update 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 7d 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
文档更新
以源码为唯一事实来源,系统性核对并更新项目文档。保证多语言文档对齐、配置表准确、代码引用正确、章节编号连续。
核心原则
- 源码即真理 — 默认值、枚举值、标志列表一律以源码为准,文档记载不作为依据。
- 多语言 1:1 — 每种语言的文档必须完整配对,发现缺口时须先向用户确认,不自行补全。
- 文档不写版本号 —
vX.Y.Z很快过时,用功能描述替代。 - 编号必须连续 — 插入/删除章节后递增所有后续章节号。
- 就地修复 — 范围和结构决策(更新哪些文件、是否新建语言文档)需先确认;内容错误(数值、列表、编号)审计到即直接写入,不等二次确认。
操作流程
读取约束:每次只读 1–3 个文件,避免单次读取过多导致上下文溢出。
0. 确定范围
若用户未指定目标文档:
- 搜索项目根目录下常见文档目录(
doc/、docs/、README*.md) - 列出找到的文档列表,请用户确认本次更新范围
- 范围确认后再进入后续流程,不自行决定
1. 清点与配对
列出所有语言的文档目录,建立跨语言映射表,标出缺口。发现缺口时向用户报告,不自行创建。
2. 提取源码事实
根据文档主题定位权威源码文件。常见对照关系:
| 文档主题 | 权威源码 |
|---|---|
| 配置表 | 配置文件、环境变量模板 |
| CLI / 命令 | 命令解析器、枚举定义、常量集合 |
| 模块功能 | 对应模块的入口文件、枚举类、路由表 |
| API 文档 | 路由定义、接口描述文件 |
在源码中搜索关键符号,定位后读取具体内容。
3. 逐文件审计
配置表审计:
- 每个配置项在源码配置文件中是否存在?
- 默认值是否与源码一致?(区分配置文件默认值和环境变量默认值)
- 环境变量名是否与模板文件吻合?
- 源码中已有但文档未收录的新条目?
代码引用审计:
- 文档提到的类名、枚举成员、常量 → 与源码定义逐一核对
- 文档提到的文件路径 → 确认实际存在
- 文档描述的功能范围 → 与源码实现比对,是否遗漏新增能力
结构检查:
- 章节编号连续,无跳跃无重复
- 无过期版本标签
- 交叉引用链接可跳转
- 专有名词/产品名称全文统一
4. 修复
| 修复类型 | 操作 |
|---|---|
| 补缺失章节 | 在正确位置插入,然后所有后续章节号 +1 |
| 修正数值 | 以源码值为准,覆盖文档中的错误值 |
| 补全列表 | 新增遗漏的枚举成员、环境变量、配置项 |
| 移除版本标签 | 去掉版本号,改用功能描述 |
| 修正错别字 | 统一产品名、修正文字错误 |
重编号要领:插入新章节后,逐个修改后续章节号 +1,不得批量替换,以免误改其他位置出现的相同数字。
5. 验收
- 检查所有标题编号,确认连续无重复
- 多语言文档数量与配对状态符合步骤 1 的确认结果
- 抽查 2–3 处修复行确认内容正确
- 交叉引用链接可跳转
常见陷阱
- 配置里写的 ≠ 运行时用的 — 配置文件记录相对路径,运行时会拼接工作目录前缀(如
agent/skills→workspace/agent/skills/)。文档应记录配置文件中的原始值,而非运行时解析后的路径。 - 配置注释可能过时 — 注释标注"60秒"但实际值为
3600的情况较为常见。应以实际值为准,注释不可作为依据。 - 区分配置变量和环境变量 — 仅出现在环境变量模板中、未在配置文件中定义的变量,不应归入配置表章节,应单独放在"仅环境变量可配置"区域。
- 插入章节后需修改其后所有编号 — 不得仅修改下一节,其后各节的编号均需递增 +1。
- 在 markdown 表格中做查找替换须谨慎 — 表格每列用
|分隔,搜索短文本时易匹配到相邻列的分隔符,应携带足够的上下文以确保定位准确。
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.
- 7d ago First seen · 97 lines · 39 tokens per session scan A 78f4a9e039a8
doc-update is a skill published in the GitHub repository XiaoLuoLYG/GOD (1,105 stars, last pushed 14d ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,261 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 skills, from other repositories
ensembl-database
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
omh-rust
This is a Hermes-native rust workflow skill.
sidewinder-rattlesnake
Adversary-emulation profile for SideWinder (G0121 / Rattlesnake / T-APT-04 / Razor Tiger), India's suspected state-sponsored cyber-espionage actor.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
skill-news-intelligence
A daily industry-news research workflow that gathers in-depth articles and updates from Chinese technology, business, creator, and AI publications. It filters the results by a creator’s field and turns them into a brief with possible content topics.