Case 02643

Skill knownasnaffy/prompthound/dataset/case_02643

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Install

npx -y skills add knownasnaffy/prompthound --skill case_02643

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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".

SKILL.md

8.4 KB, ~2.3k tokens by cl100k_base, as published. Nobody here has run it

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status: active        # active | superseded | disputed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)

Fetch content with web_fetch → save to raw/<category>/YYYY-MM-DD-<slug>.md
Raw file frontmatter: source, category, ingested, status: raw
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

Read raw document → extract key points
Write summary to wiki/summaries/YYYY-MM-DD-<slug>.md
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
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
Add [[backlinks]] between related concept pages
Update raw file status: status: compiled
Run scripts/update-index.sh to refresh index
Append to log.md: ## [YYYY-MM-DD] compile | <Title> | touched N pages | conflicts: 0/N

Query (trigger: user asks about a topic)

Search wiki/concepts/ for related concept pages
Search wiki/summaries/ and wiki/analyses/ for related content
Supplement from raw/ if needed
Answer with source citations
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>
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):

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