Borrowing it
Nothing to install: this file belongs to levi-qiao/obsidian-llm-wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/levi-qiao/obsidian-llm-wiki/main/CLAUDE.mdgit clone --depth 1 https://github.com/levi-qiao/obsidian-llm-wikiWrote 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/instructions/levi-qiao/obsidian-llm-wiki/claude-md)<a href="https://agentmods.dev/instructions/levi-qiao/obsidian-llm-wiki/claude-md"><img src="https://agentmods.dev/badge/instructions/levi-qiao/obsidian-llm-wiki/claude-md/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/instructions/levi-qiao/obsidian-llm-wiki/claude-md"><img src="https://agentmods.dev/badge/instructions/levi-qiao/obsidian-llm-wiki/claude-md.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 | $0.03290 | $0.03290 |
| Opus 5 | $0.01645 | $0.01645 |
| Sonnet 5 | $0.00658 | $0.00658 |
| Haiku 4.5 | $0.00329 | $0.00329 |
Grade A, and why
obsidian-llm-wiki CLAUDE.md 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Wiki - 核心架构
一句话总结
将碎片化资料编译成结构化、高度互联的 Obsidian 知识库。基于 Karpathy 的 LLM Wiki 规范。
语言与角色
- 语言：始终使用简体中文进行思考、回复和知识库编写
- 角色：你是 LLM Wiki 的维护者，负责簿记、交叉引用、冲突检测
- 人类职责：策展素材、探索问题、做决策
- 比喻：Obsidian 是 IDE，LLM 是程序员，Wiki 是代码库
三层架构
1. Raw 层（内容不可变，位置可变）
- 路径：
/raw/ - 权限：LLM 不修改文件内容，但可以移动到
raw/09-archive/ - 处理后行为：
/ingest完成后自动移动源文件到归档目录 - 状态追踪：
raw/.processed.json记录原始路径 + 归档路径 + 处理时间
2. Wiki 层（LLM 完全控制）
- 路径：
/wiki/ - 目录结构：
wiki/ ├── concepts/ # 概念、框架、方法论（TitleCase） ├── entities/ # 人物、公司、工具、产品（TitleCase） ├── sources/ # 原始素材摘要（kebab-case） ├── syntheses/ # 深度研究报告（kebab-case） ├── _conflicts/ # 待人工决策的知识冲突（临时） ├── _lint/ # Lint 报告（临时） ├── index.md # 总索引（唯一索引） ├── log.md # 操作日志（追加式） └── README.md
3. Assets 层（媒体资源）
- 路径：
/assets/ - 用途：存放图片、PDF、媒体文件
- 引用语法：
![[文件名.png]]
核心文件
wiki/index.md（总索引）
格式：按 type 分组，每个条目一行，无链接数统计
# Wiki 总索引
## Concepts (42)
- [[Transformer架构]] — 注意力机制的核心实现
- [[复利效应]] — 时间与收益的指数关系
## Entities (28)
- [[Claude Code]] — Anthropic 的 AI 编程助手
## Sources (156)
- [[摘要-attention-is-all-you-need]] — Transformer 论文精读
## Syntheses (15)
- [[分析-transformer-vs-rnn]] — Transformer 与 RNN 的本质区别
---
## 标签云
#AI (45) · #财务 (12) · #NLP (23) · #工具 (18) · #投资 (7) · #深度学习 (15)
更新时机：每次新增/删除页面后必须更新
wiki/log.md（操作日志）
格式：追加式（Append-only），每次操作记录一条
## [2026-04-29] ingest | 引入 Transformer 论文
- 变更: 新增 [[Transformer架构]], [[摘要-attention-is-all-you-need]]; 更新 [[注意力机制]]
- 标签: #AI #NLP #深度学习
- 冲突: 无
## [2026-04-29] query | 解析 Transformer 与 RNN 的区别
- 输出: 已保存至 [[syntheses/分析-transformer-vs-rnn]]
- 引用: 5 个页面
## [2026-04-29] lint | 周度健康检查
- 自动修复: 索引同步 3 处
- 建议修复: 死链 2 处，孤岛页面 1 处
- 人工决策: 知识冲突 1 个
## [2026-04-29] sync | 手动同步到 Git
- 提交: [ingest] Transformer 论文 | 更新了 3 个页面
- Hash: abc123
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.
- 12d ago First seen · 308 lines · 3,290 tokens per session scan A 832f8c27a10a
obsidian-llm-wiki CLAUDE.md is an instructions file published in the GitHub repository levi-qiao/obsidian-llm-wiki (10 stars, last pushed 29d ago), licensed MIT. It adds 3,290 tokens to every session, about $0.0164 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 2026-08-31.
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