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 renky1025/agent-skills --skill obsidian-kb-buildergit clone --depth 1 https://github.com/renky1025/agent-skillsWrote 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/renky1025/agent-skills/obsidian-kb-builder)<a href="https://agentmods.dev/skills/renky1025/agent-skills/obsidian-kb-builder"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/obsidian-kb-builder/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/renky1025/agent-skills/obsidian-kb-builder"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/obsidian-kb-builder.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 | $0.00122 | $0.01476 |
| Opus 5 | $0.00061 | $0.00738 |
| Sonnet 5 | $0.00024 | $0.00295 |
| Haiku 4.5 | $0.00012 | $0.00148 |
Grade A, and why
obsidian-kb-builder 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 11d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Obsidian KB Builder
Overview
按 Karpathy「LLM Wiki」模式，把目录 / 文档 / URL 转化为一个持久、互链、可复利的本地知识库（Obsidian vault）。图谱即 Obsidian 双链图谱：节点是笔记，边是页面间的 [[链接]]。脚本负责机械的 I/O（建结构、抓取法、图片本地化、导出图数据），AI 负责语义抽取与互链。
When To Use
- 用户说「建一个知识库 / 个人 wiki / Obsidian vault」「把这批文章/这个文件夹/这个网页纳入知识库」。
- 用户要从 URL、PDF、笔记批量生成互链 markdown 并保留图片。
- 用户要「导出知识图谱 / 图数据」用于可视化或导入 Neo4j / Gephi。
Prerequisites
- 确定目标 vault 路径（用户指定；不存在则新建）。
- 访问外网时确保
http_proxy/https_proxy环境变量已设置（fetch_source 走代理）。 - PDF / DOCX 摄入需要本机
pandoc（未装则脚本会提示安装）。
Workflow
路径约定：下文命令中的
<skill>指本技能安装目录（如~/.claude/skills/obsidian-kb-builder）。运行脚本时请将<skill>替换为实际路径，或在技能目录下执行。
1. 初始化（仅首次）
若 vault 不存在或缺少 raw/、wiki/、.wiki-schema.md，运行：
python3 <skill>/scripts/scaffold.py --vault <vault路径> [--topic "知识库主题"]
该脚本创建 raw/{articles,tweets,wechat,xiaohongshu,zhihu,pdfs,notes,assets}、wiki/{entities,topics,sources,comparisons,synthesis}、.wiki-schema.md、index.md、log.md、purpose.md。已存在的文件不覆盖。
2. 摄入每个输入（fetch_source.py）
对每个 URL 或本地文件运行：
python3 <skill>/scripts/fetch_source.py --input <URL或文件路径> --vault <vault路径> [--subdir articles]
- URL：经 Jina Reader 取干净 markdown；文中图片下载到
raw/assets/，改写为本地相对路径../assets/xxx。 - 本地 .md/.txt/.html 直接处理；.pdf/.docx 用 pandoc 转换。
- 目录：遍历受支持文件，按类型选
--subdir（文章→articles，推文→tweets，小红书→xiaohongshu，知乎→zhihu，PDF→pdfs，笔记→notes）。 - 脚本打印写出的
raw/.../*.md路径与图片统计，AI 据此继续抽取。
3. 语义抽取与互链（AI 执行，详见 references/workflow.md）
读取 raw/<subdir>/<file>.md 后：
- 写 source 摘要页
wiki/sources/<date>-<slug>.md； - 更新 / 新建
wiki/entities/与wiki/topics/页面，带 YAML frontmatter（tags/created/updated/sources）； - 在相关页面间加
[[链接]]，每页底部维护「相关页面」列表（这是图数据的边，务必互链）； - 更新
index.md（加一行[[页面名]] — 摘要）； - 向
log.md追加## [YYYY-MM-DD] ingest | <源标题>。
新数据反驳旧主张时显式标注矛盾，不静默覆盖。raw/ 只读不改，所有产物在 wiki/。
4. 查询与复利
对 wiki 提问，答案用 [[链接]] 引用；有价值的对比 / 分析 / 新关联存回 wiki/comparisons/ 或 wiki/synthesis/，让探索也复利累积。
5. 导出图数据（export_graph.py）
python3 <skill>/scripts/export_graph.py --vault <vault路径> [--json]
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 95 lines · 122 tokens per session scan A d2895ed643fe
obsidian-kb-builder is a skill published in the GitHub repository renky1025/agent-skills (11 stars, last pushed yesterday), licensed MIT. It adds 122 tokens to every session and 1,476 once invoked, about $0.0006 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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