Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/chubbyguan/chubbyskillsnpx agentmods add skills/chubbyguan/chubbyskills/knowledge-base-managementWrote 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/chubbyguan/chubbyskills/knowledge-base-management)<a href="https://agentmods.dev/skills/chubbyguan/chubbyskills/knowledge-base-management"><img src="https://agentmods.dev/badge/skills/chubbyguan/chubbyskills/knowledge-base-management.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 | $0.00049 | $0.04962 |
| Opus 5 | $0.00024 | $0.02481 |
| Sonnet 5 | $0.00010 | $0.00992 |
| Haiku 4.5 | $0.00005 | $0.00496 |
Grade A, and why
knowledge-base-management scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Base Management — 知识库全生命周期管理
核心架构
三层架构
素材库/ → Layer 1: 不可变原始素材（AI 只读）
wiki/ → Layer 2: AI 编译的结构化知识（AI 维护）
产出/ → Layer 3: 按需生成的视图（不持久化）
核心原则：素材库是事实源（不可变），Wiki 是 AI 编译的投影（必须溯源），产出是按需生成的视图（不持久化）。
Vault 配置
vault 路径通过环境变量配置，不写死在脚本里：
export VAULT_DIR="$HOME/Documents/your-vault" # 你的 Obsidian vault 根目录
- 健康检查 cron：建议每周日 9:00 运行
scripts/vault_health_check.py（见第 2 节）
1. 素材入库 (Ingest)
新素材处理流水线
用户丢素材 →
① 判断类型 → 存入素材库/对应子目录
② 提取关键信息 → 决定是否建 wiki 页面
③ 如果值得：建选题（打 SHARP 分）或更新项目页
④ 更新 wiki/index.md 索引
素材分级 (ABC Grading)
| 等级 | 标准 | 处理 |
|---|---|---|
| A | 核心方法论/框架/系统 | 优先编译为选题 |
| B | 有洞察但不够系统 | 备选，作为 A 的补充 |
| C | 水货/重复/与定位无关 | 归档，不主动编译 |
公众号文章处理
来源一：wechat-article-exporter 自动同步（每天 07:00 cron）
公众号文章直接存入 素材库/公众号文章/<公众号名>/，每日自动增量同步。
来源二：手机保存的文章同步（每天 08:00 cron） 通过手机保存的文章先落到一个待处理目录（按日期），再由一个归类脚本搬入素材库并按领域筛选优质文章做 A+B 深度处理。
归类脚本（如
sync_notes_to_kb.py）与各人的目录结构强相关，本仓库不内置，按下面的「工作流」自建即可。
工作流：
新文章入库 →
① 脚本自动归类到 素材库/公众号文章/<公众号名>/
② URL 去重（跳过已存在的文章）
③ 领域关键词筛选（AI/半导体/消费/电商/品牌/投资/Agent/Skill）
跳过纯营销、与用户领域无关的文章
④ 命中关键词的精选文章 → A+B 双轨处理（每日上限 5 篇）
A层：观点提取+分类+3条Takeaway → wiki/📡 外部输入/公众号/<公众号名>/<主题>/
B层：问题链+伴读引导 → 同上
⑤ 更新 wiki/index.md（外部输入 — 最新 A+B 处理 表格）
关键原则：
- 聚焦高价值主题（匹配用户兴趣），不追求全量覆盖
- 每个 wiki 页面必须用
sourcefrontmatter 列出引用素材路径 - 深度处理上限 5 篇/天，分批消化
- 文章路径格式：
[[../../../../素材库/公众号文章/<公众号>/<文件名>]]
2. 健康检查 (Audit)
自动检查项
每周日 9:00 cron 自动运行，检查：
- 断链（broken wikilinks）
- 缺 source 字段
- frontmatter 缺失
- 待沉淀概念
- 低链接密度
脚本：scripts/vault_health_check.py（本仓库提供，零依赖，纯标准库）
# 指定 vault 路径
python3 scripts/vault_health_check.py "$HOME/Documents/your-vault"
# 或读 VAULT_DIR 环境变量
export VAULT_DIR="$HOME/Documents/your-vault"
python3 scripts/vault_health_check.py --json
# 把缺 source 字段也视为问题（强溯源场景）
python3 scripts/vault_health_check.py --require-source
检查项：断链、缺 frontmatter/source/summary、孤立笔记、空目录、内容重复、文件名含空格。 存在断链时退出码为 1，方便接入 cron / CI 告警。
What ships with it
3 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.
- 7d ago First seen · 506 lines · 49 tokens per session scan A 4fcbc3bfc34b
knowledge-base-management is a skill published in the GitHub repository chubbyguan/chubbyskills (659 stars, last pushed 18d ago), licensed MIT. It adds 49 tokens to every session and 4,962 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 2026-08-30.
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