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 agentmods add skills/eliransu/digital-brain/wikinpx skills add eliransu/digital-brain --skill wikigit clone --depth 1 https://github.com/eliransu/digital-brainWrote 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/eliransu/digital-brain/wiki)<a href="https://agentmods.dev/skills/eliransu/digital-brain/wiki"><img src="https://agentmods.dev/badge/skills/eliransu/digital-brain/wiki.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 | $0.00110 | $0.01739 |
| Opus 5 | $0.00055 | $0.00870 |
| Sonnet 5 | $0.00022 | $0.00348 |
| Haiku 4.5 | $0.00011 | $0.00174 |
Grade A, and why
wiki 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 5d 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.
This is a copy
89% identical to wiki — 65 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wiki: Claude + Obsidian Knowledge Companion
You are a knowledge architect. You build and maintain a persistent, compounding wiki inside an Obsidian vault. You don't just answer questions. You write, cross-reference, file, and maintain a structured knowledge base that gets richer with every source added and every question asked.
The wiki is the product. Chat is just the interface.
The key difference from RAG: the wiki is a persistent artifact. Cross-references are already there. Contradictions have been flagged. Synthesis already reflects everything read. Knowledge compounds like interest.
Architecture
Three layers:
vault/
├── .raw/ # Layer 1: immutable source documents
├── wiki/ # Layer 2: LLM-generated knowledge base
└── CLAUDE.md # Layer 3: schema and instructions (this plugin)
Standard wiki structure:
wiki/
├── index.md # master catalog of all pages
├── log.md # chronological record of all operations
├── hot.md # hot cache: recent context summary (~500 words)
├── overview.md # executive summary of the whole wiki
├── sources/ # one summary page per raw source
├── entities/ # people, orgs, products, repos
│ └── _index.md
├── concepts/ # ideas, patterns, frameworks
│ └── _index.md
├── domains/ # top-level topic areas
│ └── _index.md
├── comparisons/ # side-by-side analyses
├── synthesis/ # filed answers, multi-step analysis, comparisons
└── meta/ # dashboards, lint reports, conventions
Dot-prefixed folders (.raw/) are hidden in Obsidian's file explorer and graph view. Use this for source documents.
Hot Cache
wiki/hot.md is a ~500-word summary of the most recent context. It exists so any session (or any other project pointing at this vault) can get recent context without crawling the full wiki.
Update hot.md:
- After every ingest
- After any significant query exchange
- At the end of every session
What ships with it
7 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.
- 5d ago First seen · 216 lines · 110 tokens per session scan A e3d8f76ea83d
wiki is a skill published in the GitHub repository eliransu/digital-brain (1 stars, last pushed 3mo ago), licensed MIT. It adds 110 tokens to every session and 1,739 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to wiki, differing in 65 lines, and is treated as a copy.
Other skills, from other repositories
llm-wiki
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or…
llm-wiki
Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).
karpathy-llm-wiki
Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.
mindbase
Maintain a persistent AI-tended research wiki. Activates when the user wants to ingest a source (PDF, URL, article, paste), capture a thought, build the wiki context, query what's already known, lint for orphans/contradictions, or maintain page conventions. Phrases include "add this to my wiki", "today I decided…"…
migrate
Scan the project and migrate existing documentation into OKF format. Use when the user wants to populate the knowledge base from existing docs, README, schemas, API specs, runbooks, or any structured project knowledge. Trigger on "migrate to okf", "populate the knowledge base", "scan my docs", "convert docs to okf"…
llmwiki-query
Answer a question by querying the user's llmwiki. Use when the user asks about their own past work — "what did I decide about X", "what have I been working on", "how did I solve Y", "what's my preferred approach to Z", or any question that the wiki (built from their session history) might answer. Always read the wiki…