GBrain is a memory and retrieval layer for AI agents that searches, connects, and synthesizes information from stored sources. It is used to give coding agents and autonomous agents access to knowledge beyond their current code, including shared company information with access controls. The catalogue add-ons help agents operate GBrain and connect it to agent workflows.
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/garrytan/gbrain/publishnpx skills add garrytan/gbrain --skill publishgit clone --depth 1 https://github.com/garrytan/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/garrytan/gbrain/publish)<a href="https://agentmods.dev/skills/garrytan/gbrain/publish"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/publish.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 | $0.00016 | $0.01427 |
| Opus 5 | $0.00008 | $0.00714 |
| Sonnet 5 | $0.00003 | $0.00285 |
| Haiku 4.5 | $0.00002 | $0.00143 |
Grade A, and why
publish 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 2d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Publish Skill
Share brain pages as beautiful, self-contained HTML documents. Optionally password-protected with client-side AES-256-GCM encryption. No server needed.
This is a code + skill pair: the deterministic code (gbrain publish) does
the stripping, encrypting, and HTML generation. This skill tells you when and
how to use it. See Thin Harness, Fat Skills
for the architecture philosophy.
Contract
- Published HTML is fully self-contained: no external dependencies, no server needed.
- All private metadata (frontmatter, source citations, confirmation numbers, brain cross-links, timeline) is stripped before publishing.
- Password protection uses AES-256-GCM with PBKDF2 key derivation; plaintext never appears in the encrypted HTML file.
- Default is always encrypted unless the user explicitly requests "open", "no password", or "public".
- External URLs (
https://...) are preserved; only internal brain paths are stripped.
When to Publish
- User asks to share a brain page, create a shareable link, or says "give me a page"
- User wants to send a deal memo, person briefing, or research to someone external
- User asks to publish a data room analysis or trip plan
- Any time brain content needs to leave the brain without exposing the whole system
Default: ALWAYS ENCRYPT
Brain content is private. Default to password-protected unless the user explicitly says "open", "no password", or "public".
If no password is specified, auto-generate one. Share the password via a different channel than the URL.
Quick Reference
# Basic publish (outputs local HTML file)
gbrain publish brain/companies/acme.md
# Password protected (auto-generate password)
gbrain publish brain/companies/acme.md --password
# Password protected (specific password)
gbrain publish brain/companies/acme.md --password "secret123"
# Custom title
gbrain publish brain/companies/acme.md --password --title "Acme -- Deal Analysis"
# Custom output path
gbrain publish brain/companies/acme.md --out /tmp/acme-share.html
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.
- 2d ago First seen · 173 lines · 16 tokens per session scan A e06b609db780
publish is a skill published in the GitHub repository garrytan/gbrain (29,622 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 1,427 once invoked, about $0.0001 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 2026-09-03.
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