llm-wiki-compiler
The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.
No outside reports on file
Use this tool only with trusted, public sources; keep sensitive data out of the input; and always review and edit the generated wiki before sharing it with others.
Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (atomicstrata/llm-wiki-compiler)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/atomicstrata/llm-wiki-compiler ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-21.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About LLM Wiki Compiler
This tool takes raw information from multiple sources and automatically organizes it into a connected wiki (a set of linked web pages). It uses an AI language model to read the sources, extract key ideas, and create pages that link to each other—similar to how Wikipedia pages reference one another.
Who it’s for
Developers and researchers who want to turn scattered documents, articles, or data into a structured, searchable knowledge base without manually writing and linking pages. Teams building internal documentation or knowledge systems.
Alternatives
- Obsidian: A note-taking app that lets you manually create and link notes for a personal wiki.
- MkDocs: A static site generator for building documentation with manual page creation and linking.
- Notion: A collaborative workspace that supports wiki-style pages with built-in linking and databases.
- MediaWiki: The open-source software that powers Wikipedia; requires manual page creation but is robust and widely used.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README at https://github.com/atomicstrata/llm-wiki-compiler (opens external site) for installation and configuration steps. The repository contains instructions for setting up the tool with your sources.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 2.2k
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Source injection: If sources come from untrusted websites or files, attackers could embed misleading information that the AI compiles into false wiki pages, making lies look authoritative.
- LLM prompt injection: Malicious text in source files might trick the AI into running unintended commands or revealing sensitive information during processing.
- Data leakage: The tool processes all input sources through an LLM (often cloud-based); sensitive company data, personal information, or trade secrets in those sources could be logged or retained by the LLM provider.
- Output poisoning: The generated wiki could contain hallucinated facts or incorrect connections if the LLM misunderstands source material, spreading misinformation.
- Unvetted links: Auto-generated wiki links might connect unrelated concepts, confusing users or making the wiki harder to trust.
How to lower the risk
Least-privilege permissions
- Run the tool in a sandboxed environment with access only to source files it needs.
- Don't give it access to production databases or credential storage.
Network isolation
- Use a private LLM (self-hosted) instead of cloud APIs if processing any confidential information.
- Audit which LLM provider or service the tool calls during compilation.
Monitoring
- Log what sources go into the tool and review generated wiki pages before publishing.
- Track which LLM API calls are made and watch for unusual data transfer.
Red flags to watch for
- Auto-generated pages with factually wrong statements or circular logic.
- Source files that contain code, commands, or suspicious markup alongside text.
- The tool sending data to unexpected external services.
Questions
How do I install LLM Wiki Compiler?
LLM Wiki Compiler does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/atomicstrata/llm-wiki-compiler.
Are there security reports about LLM Wiki Compiler?
No reports found for this package in our research (last checked 2026-10-30). LLM Wiki Compiler currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include source injection, llm prompt injection, data leakage.
Is LLM Wiki Compiler actively maintained?
LLM Wiki Compiler has 2.2k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/atomicstrata/llm-wiki-compiler before pinning it in production.
What are alternatives to LLM Wiki Compiler?
Notable alternatives to LLM Wiki Compiler include Obsidian (A note-taking app that lets you manually create and link notes for a personal wiki), MkDocs (A static site generator for building documentation with manual page creation and linking), Notion (A collaborative workspace that supports wiki-style pages with built-in linking and databases), MediaWiki (The open-source software that powers Wikipedia). You can also compare LLM Wiki Compiler side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use LLM Wiki Compiler? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/atomicstrata-llm-wiki-compiler)HTML embed:
<a href="https://agentarmorhq.com/skills/atomicstrata-llm-wiki-compiler"><img src="https://agentarmorhq.com/api/badge/atomicstrata-llm-wiki-compiler" alt="AgentArmorHQ Risk Grade for LLM Wiki Compiler" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "atomicstrata-llm-wiki-compiler"Share with your security lead
Need sign-off to use llm-wiki-compiler? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: llm-wiki-compiler
- **Listing URL:** https://agentarmorhq.com/skills/atomicstrata-llm-wiki-compiler
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 2.2k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (atomicstrata/llm-wiki-compiler)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/atomicstrata/llm-wiki-compiler
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- atomicstrata
- Source code
- github.com/atomicstrata/llm-wiki-compiler
- Est. context load
- ~54 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 2.2k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-21
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