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 brain-taxonomistgit 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/brain-taxonomist)<a href="https://agentmods.dev/skills/garrytan/gbrain/brain-taxonomist"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/brain-taxonomist/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/brain-taxonomist"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/brain-taxonomist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00066 | $0.02026 |
| Opus 5 | $0.00033 | $0.01013 |
| Sonnet 5 | $0.00013 | $0.00405 |
| Haiku 4.5 | $0.00007 | $0.00203 |
Grade A, and why
brain-taxonomist 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
1 near-identical copy found in the catalogue:
- brain-taxonomist — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brain-taxonomist
Purpose
Gate function: Before creating ANY new brain page, consult this skill to determine the correct filing path. This prevents misfiling at write time rather than cleaning up drift after the fact.
Drift function: Periodic scan for pages that have outgrown their current location.
Contract
This skill guarantees:
- Every new page is filed at the path determined by the ACTIVE schema pack — never against a hardcoded directory table baked into this skill.
- The decision is reproducible: invoking brain-taxonomist twice on the same content produces the same recommended path.
- Ambiguous cases surface to the user via
skills/ask-user/rather than silently picking a default. - Per-source overrides via
--source <id>are honored — multi-brain users (Persona B) get a different recommendation per source if their packs diverge. - When no matching
page_types[]entry exists in the active pack, the skill signals to EIIRP Phase 3 (SCHEMA CHECK) rather than picking the closest-fitting fallback.
Critical: this skill reads the ACTIVE schema pack as data
brain-taxonomist has NO hardcoded directory table. Every decision is
driven by gbrain schema show --json. This means:
- A user who runs
gbrain schema use gbrain-recommendedgets the full recommended directory set (deal, meeting, concept, project, source, daily, personal, civic, original, place, trip, conversation, writing, plus all gbrain-base types). - A user who authored a custom pack via
gbrain schema init+ edit gets filing recommendations based on THEIR taxonomy, not gbrain's defaults. - Per-source overrides (tier 3 in the 7-tier resolution chain) are honored
when
--source <id>is passed to brain-taxonomist.
This is the single-source-of-truth principle (D9 from the v0.39 plan-eng-review).
When to Consult (MANDATORY)
Run the taxonomist check before writing to the brain in these cases:
- New brain page — any
type(person, company, concept, book, meeting, etc.) - Bulk import — before committing a batch of new pages
- Uncertain filing — when the primary subject is ambiguous
What ships with it
1 file 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.
- 12d ago First seen · 196 lines · 66 tokens per session scan A dea4557b5408
brain-taxonomist is a skill published in the GitHub repository garrytan/gbrain (29,838 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 2,026 once invoked, about $0.0003 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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