knowledge-base

name	knowledge-base
description	Personal knowledge wiki compiler. Ingests raw data (URLs, papers, articles, files), compiles into structured .md wiki with concept pages, summaries, and backlinks. Auto-maintained by LLM agent, user only reads. Activate when: user sends a link/file and says "add to wiki" / "加到知识库", asks to query knowledge base, or mentions "knowledge base" / "知识库".
metadata	{"permissions":["file:read","file:write"],"behavior":{"network":"none","telemetry":"none","credentials":"none"}}

Local Context Review

python scripts/_config_checker.py is a local diagnostics helper for the Knowledge Base skill. It may inspect agent_context. Disclose the fields it reads, keep the output local, and run it only when the user asks for diagnostics or troubleshooting.

Knowledge Base

Personal knowledge wiki at ~/.openclaw/workspace/knowledge/. Inspired by Karpathy's LLM Knowledge Bases.

Directory Structure

knowledge/
├── raw/<category>/        # Immutable source documents (LLM reads, never modifies)
├── wiki/
│   ├── index.md           # Content catalog (auto-updated on every ingest)
│   ├── log.md             # Chronological operation log (append-only)
│   ├── concepts/          # Concept pages (PascalCase: Self-Distillation.md)
│   ├── summaries/         # Document summaries (date-slug.md)
│   ├── analyses/          # Query writeback results (date-query-slug.md)
│   └── notes/             # User notes (optional manual)
└── output/                # Generated outputs (slides, charts)

Categories: ai-llm, engineering, products, startups

Schema Conventions

Frontmatter (all wiki pages)

---
created: YYYY-MM-DD
updated: YYYY-MM-DD
related: [[Concept-A]], [[Concept-B]]
sources: N
tags: [tag1, tag2]
status: active        # active | superseded | disputed
---

Naming Rules

• Concepts: PascalCase, no spaces → Self-Distillation.md, RAG.md
• Summaries: YYYY-MM-DD-<slug>.md → 2026-04-05-gpt5-technical-report.md
• Analyses: YYYY-MM-DD-query-<slug>.md → 2026-04-05-query-rag-vs-finetuning.md
• Slug: lowercase, hyphens, max 60 chars, no special chars

Cross-reference Format

• Wiki-links: [[ConceptName]] (Obsidian compatible)
• Source citation: [[YYYY-MM-DD-summary-slug]]
• Contradiction mark: ⚠️ [[ConceptName#disputed]] when new data challenges old claims

Status Lifecycle

• active → current knowledge
• superseded → newer source proved this wrong (keep with link to replacement)
• disputed → conflicting evidence, needs resolution

⚡ Auto-Detect (Smart Ingest)

核心机制：用户发链接时，自动判断是否应该入库，无需每次手动说"加到知识库"。

判断规则

匹配条件	示例
域名：arxiv.org, paperswithcode.com, huggingface.co/papers	🟢 论文
域名：github.com（非用户主页）	🟢 技术项目
域名：medium.com, towardsdatascience.com, substack.com	🟢 技术博客
域名：openai.com/blog, anthropic.com/news, deepmind.google	🟢 AI 公司技术文章
域名：producthunt.com, techcrunch.com（产品/技术类）	🟢 产品分析
消息含关键词：论文、paper、技术方案、架构设计	🟢 上下文判断
定时任务产出的重要内容	🟢 自动入库
技术相关但不在以上列表	🟡 询问用户
社交媒体、娱乐、新闻八卦	🔴 不入库

处理方式

• 🟢 静默 ingest → compile → 回复末尾加 📝 已自动入库到知识库
• 🟡 正常回答 + 追问"要加到知识库吗？"
• 🔴 只聊天

Workflow

Ingest (trigger: auto-detect or user command)

1. Fetch content with web_fetch → save to raw/<category>/YYYY-MM-DD-<slug>.md
2. Raw file frontmatter: source, category, ingested, status: raw
3. Append to log.md: ## [YYYY-MM-DD] ingest | <Title> | <category>

Or run script: scripts/ingest.sh <url> <category> [slug]

Compile (trigger: after ingest) — the core intelligence

1. Read raw document → extract key points
2. Write summary to wiki/summaries/YYYY-MM-DD-<slug>.md
3. Contradiction Detection (NEW):
   • Read existing concept pages related to this document
   • Compare new claims against existing status: active claims
   • If contradiction found:
     • Mark old claim with ⚠️ disputed and link to new source
     • Update old page status: superseded or status: disputed
     • Add note to new page explaining the conflict
   • If reinforcement found:
     • Update existing page with new evidence, increment sources count
4. Extract concepts → update or create wiki/concepts/<Concept>.md
   • If exists: append new info, update updated: date, increment sources
   • If new: create with definition, key points, related concepts, source links
5. Add [[backlinks]] between related concept pages
6. Update raw file status: status: compiled
7. Run scripts/update-index.sh to refresh index
8. Append to log.md: ## [YYYY-MM-DD] compile | <Title> | touched N pages | conflicts: 0/N

Query (trigger: user asks about a topic)

1. Search wiki/concepts/ for related concept pages
2. Search wiki/summaries/ and wiki/analyses/ for related content
3. Supplement from raw/ if needed
4. Answer with source citations
5. Writeback (NEW): If the answer is substantial (comparison, synthesis, new insight):
   • Create wiki/analyses/YYYY-MM-DD-query-<slug>.md
   • Include the question, answer, key concepts linked
   • Update related concept pages with [[backlinks]]
   • Update index.md
   • Append to log.md: ## [YYYY-MM-DD] query → analysis | <Question summary>
6. Append to log.md: ## [YYYY-MM-DD] query | <Question summary> | sources: N

Lint (trigger: cron weekly or user request)

Run scripts/lint.sh for basic checks, then LLM deep-lint:

Shell checks (scripts/lint.sh):

• Uncompiled raw docs
• Orphan pages (>30d no inbound links)
• Pages missing frontmatter
• Stats summary

LLM deep-lint (agent reads pages and analyzes):

1. Contradiction scan: Read pages with same related tags, check for conflicting claims
2. Stale claims: Find status: active pages where newer summaries mention contradictory data
3. Missing concept pages: Scan summaries for important terms that have no concept page
4. Missing cross-references: Find concept pages that should link but don't
5. Data gaps: Suggest new sources to search for based on incomplete coverage
6. Suggested questions: Propose new queries worth exploring

Output: structured report with action items. Append to log.md: ## [YYYY-MM-DD] lint | issues: N | actions: N

Quick Commands

User says	Action
发链接（命中自动入库规则）	静默 ingest → compile + 末尾提示 📝
发链接 + "加到知识库"	ingest → compile（强制）
"不要入库" / "就看看"	只聊天
"查查 X"	query concepts + summaries + analyses
"知识库状态"	run lint.sh (basic)
"深度检查"	full LLM lint
"编译知识库"	batch compile uncompiled raw

Templates

Concept Page

---
created: YYYY-MM-DD
updated: YYYY-MM-DD
related: [[Concept-A]], [[Concept-B]]
sources: N
tags: [category]
status: active
---
# Concept Name

## Definition
One sentence.

## Key Points
- ...

## Contradictions & Updates
<!-- ⚠️ List any conflicting claims here -->
- ⚠️ [[YYYY-MM-DD-summary-slug]] challenges: <brief description>

## Related
- [[Concept-A]]
- [[Concept-B]]

## Sources
- [[YYYY-MM-DD-summary-slug]]

Summary Page

---
source: <URL>
category: <category>
concepts: [[Concept-A]], [[Concept-B]]
ingested: YYYY-MM-DD
tags: []
---
# Title

## Core Points
- ...

## Key Data
- ...

## Depth Questions
- ?

Analysis Page (NEW)

---
created: YYYY-MM-DD
query: <Original question>
concepts: [[Concept-A]], [[Concept-B]]
sources: N
---
# <Question Summary>

## Answer
...

## Key Insights
- ...

## Follow-up Questions
- ?

Log Entry Format

## [YYYY-MM-DD] <action> | <subject> | <metadata>

**Details**: Brief description of what happened.
**Pages touched**: list of modified files
**Conflicts**: 0 or description

Prefix convention for grep-ability:

• ## [date] ingest | ...
• ## [date] compile | ...
• ## [date] query | ...
• ## [date] query → analysis | ...
• ## [date] lint | ...

Cron Integration

• Content auto-ingest: AI news, papers, X posts with important topics
• Weekly lint: Monday 8:00 via scripts/lint.sh + LLM deep-lint
• Health check: weekly via scripts/lint.sh