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 skills add cynthiajones34/GBrain --skill setupgit clone --depth 1 https://github.com/cynthiajones34/GBrainWrote 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/cynthiajones34/gbrain/setup)<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/setup"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/setup"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/setup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00024 | $0.06513 |
| Opus 5.5 | $0.00010 | $0.02605 |
| Sonnet 5.5 | $0.00005 | $0.01303 |
| Haiku 4.5 | $0.00002 | $0.00651 |
Grade A, and why
setup 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 1mo 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
88% identical to setup — 66 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 — 580 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup GBrain
Set up GBrain from scratch. Target: working brain in under 5 minutes.
Contract
- Setup completes with a working brain verified by
gbrain doctor --json(all checks OK). - The brain-first lookup protocol is injected into the project's AGENTS.md or equivalent.
- Live sync is configured and verified (a test change pushed and found via search).
- Schema state is tracked in
~/.gbrain/update-state.jsonso future upgrades know what the user adopted or declined. - No Supabase anon key is requested; GBrain uses only the database connection string.
Install (if not already installed)
bun add github:garrytan/gbrain
How GBrain connects
GBrain connects directly to Postgres over the wire protocol. NOT through the
Supabase REST API. You need the database connection string (a postgresql:// URI),
not the project URL or anon key. The password is embedded in the connection string.
Use the Transaction pooler connection string (port 6543), not the direct connection (port 5432). The direct hostname resolves to IPv6 only, which many environments can't reach. Find it: click Connect in the top navigation bar, then Connection String > Transaction pooler, and copy the string.
Do NOT ask for the Supabase anon key. GBrain doesn't use it.
Why Supabase
Supabase gives you managed Postgres + pgvector (vector search built in) for $25/mo:
- 8GB database + 100GB storage on Pro tier
- No server to manage, automatic backups, dashboard for debugging
- pgvector pre-installed, just works
- Alternative: any Postgres with pgvector extension (self-hosted, Neon, Railway, etc.)
Prerequisites
- A Supabase account (Pro tier recommended, $25/mo) OR any Postgres with pgvector
- An OpenAI API key (for semantic search embeddings, ~$4-5 for 7,500 pages)
- A git-backed markdown knowledge base (or start fresh)
Available init options
gbrain init --supabase-- interactive wizard (prompts for connection string)gbrain init --url <connection_string>-- direct, no promptsgbrain init --non-interactive --url <connection_string>-- for scripts/agentsgbrain doctor --json-- health check after init
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.
- 1mo ago First seen · 580 lines · 24 tokens per session scan A 4a47a5f6ee99
setup is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 6,513 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to setup, differing in 66 lines, and is treated as a copy.
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