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 skills add garrytan/gbrain --skill repo-architecturegit 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/repo-architecture)<a href="https://agentmods.dev/skills/garrytan/gbrain/repo-architecture"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/repo-architecture/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/garrytan/gbrain/repo-architecture"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/repo-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 52 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00034 | $0.00419 |
| Opus 5 | $0.00017 | $0.00210 |
| Sonnet 5 | $0.00007 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
repo-architecture 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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- repo-architecture — 100% identical, 0 lines differ
- repo-architecture — 100% identical, 0 lines differ
What it actually says
Repo Architecture — Filing Rules
Full filing rules: See
skills/_brain-filing-rules.md
Contract
This skill guarantees:
- Every new page is filed by primary subject (not format, not source)
- The decision protocol is followed for ambiguous cases
- Common misfiling patterns are caught
Phases
- Identify the primary subject. What would you search for to find this page?
- Walk the decision tree:
- About a person →
people/{name-slug}.md - About a company →
companies/{name-slug}.md - A reusable concept/framework →
concepts/{slug}.md - An original idea →
originals/{slug}.md - A meeting →
meetings/{slug}.md - Media content →
media/{type}/{slug}.md - Raw data import →
sources/{slug}.md
- About a person →
- Cross-link. Link from related directories.
- Check notability. See
skills/conventions/quality.mdnotability gate.
Output Format
Advisory: "File this at {type}/{slug}.md because the primary subject is {reason}."
Anti-Patterns
- Filing by format ("it's a PDF so it goes in sources/")
- Filing by source ("it came from email so it goes in sources/")
- Creating pages without checking if one already exists
- Using
sources/for anything except raw data dumps
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.
- 12d ago First seen · 54 lines · 34 tokens per session scan A 4ec2b8f45d16
repo-architecture is a skill published in the GitHub repository garrytan/gbrain (29,838 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 419 once invoked, about $0.0002 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 2026-08-30.
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