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/tonydzi/second-brain-starter-kit/brainnpx skills add tonydzi/second-brain-starter-kit --skill braingit clone --depth 1 https://github.com/tonydzi/second-brain-starter-kitWrote 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/tonydzi/second-brain-starter-kit/brain)<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/brain"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/brain.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 | $0.00077 | $0.00764 |
| Opus 5 | $0.00039 | $0.00382 |
| Sonnet 5 | $0.00015 | $0.00153 |
| Haiku 4.5 | $0.00008 | $0.00076 |
Grade A, and why
brain 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 3d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/brain — second-brain health at one glance
🧒 When reporting to a non-technical operator, end with a short plain-words recap (rule
eli5-always).
Catches SILENT breakage of the memory/RAG stack (the things that kept breaking month after month: the reindex, the local search server, the memory pilot). Read-only, 0 tokens.
What it does (one script)
python $IMPORTS_ROOT/brain_health.py
Checks 5 things and colors them 🟢/🟡/🔴:
- Search server on its local port — alive or not (if it's down, auto-recall silently disappears); also shows whether the graph-assisted mode is on.
- Index
_brain_e5.npy— how fresh (🟡 if the reindex lags >48h). - TurnState ledger — how many turns recorded (memory Phase 1), when the last one was.
- Nightly distillation — candidates in quarantine + when the last run happened.
- A/B direct-vs-graph recall — how many runs + the operator's verdicts (👍/👎).
Writes a dashboard $OBSIDIAN_VAULT/_Dashboards/Brain-Health.html (the operator reads with their eyes, [[prefer-visual-dashboards]]). Exit code 0/1/2 = ok/warn/red (for scripts).
When to fix (on 🔴/🟡)
- 🔴 search server down → run the restart script (as admin, see [[always-on-memory-pilot]]); or reboot (the at-logon task brings it up).
- 🟡 index lagging →
gpu_check.py [--kill], thenbrain_embed_update.py [--wait-gpu 10]([[reindex-routine]]). - 🟡 ledger empty → fine if memory Phase 1 was just enabled (it fills from the next sessions on).
What it does NOT do
It doesn't fix anything and doesn't write to the vault. It's a diagnostic. Fixing is a separate explicit step (the "read before you fix" rule, [[verify-existing-before-proposing]]).
About & contact
Built and battle-tested at Palo Alto AI Research Lab — a fleet of Claude Code machines running 24/7 as a second brain and synthetic cofounder. Every skill here survived real production use before publication.
- 📦 All 101 skills: https://github.com/tonydzi/second-brain-starter-kit
- 👤 Author: Anton Dziatkovskii — Telegram @tonydzi · WhatsApp +1 341 222 9178 · X @Tony_Stef_
- 🧪 Engineers: want to test-drive this setup? Message me — I hand out free starter seeds to engineers who test and report back. Custom skill requests welcome.
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.
- 3d ago First seen · 49 lines · 77 tokens per session scan A 13921c8a4ac6
brain is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (5 stars, last pushed 4d ago), licensed MIT. It adds 77 tokens to every session and 764 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
query
Search compiled LLM Wiki pages, synthesize a cited answer, save substantial results, and feed durable gaps back into the Wiki; also responds to /query and 위키 질의.
llm-wiki
Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management"…
wiki-ingest
Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…
autoresearch
Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find…
canvas
Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.
wiki-retrieve
Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…