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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/garrytan/gbrainnpx agentmods add skills/garrytan/gbrain/draft-in-voiceWrote 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/draft-in-voice)<a href="https://agentmods.dev/skills/garrytan/gbrain/draft-in-voice"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/draft-in-voice.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 | $0.00112 | $0.03490 |
| Opus 5 | $0.00056 | $0.01745 |
| Sonnet 5 | $0.00022 | $0.00698 |
| Haiku 4.5 | $0.00011 | $0.00349 |
Grade A, and why
draft-in-voice 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 7d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
draft-in-voice — Memory-Grounded Ghostwriting
Convention: see conventions/brain-first.md — the voice profile and all substance come from the brain, never from memory or improvisation.
Convention: see conventions/quality.md for citation and back-link rules, and _brain-filing-rules.md — voice profiles are person-subject pages and file under
people/.
What this is
Ghostwrite in a specific person's voice with high fidelity. The voice work is
done UPSTREAM: a validated voice profile already exists in the brain at
people/<slug>-voice (e.g. people/alice-example-voice), and this skill is
the disciplined application of it. Never freehand "founder voice" or "their
voice" from memory — always load the profile and obey its hard rules.
If no validated profile exists, drafting stops — see Building a voice profile below. A made-up voice is worse than asking.
The user's own voice is a special case. If the subject is the user and the harness ships a dedicated personal voice skill (with its own register tuning and anti-AI patterns), prefer that. Use
draft-in-voicefor anyone else with a validated profile — colleagues, founders, partners, the people the user ghostwrites for — or for the user when no dedicated skill exists.
Source of truth (read these FIRST, every time)
- The validated voice profile —
gbrain get people/<slug>-voice. The fingerprint, quantitative stats (median length, diction, rhythm), and the "how to write as this person" directive block. This is binding. If the page is missing, or itsstatusis anything other thanvalidated, STOP drafting and go to the builder appendix. - First-party context — the subject's main page (
gbrain get people/<slug>) plus timeline and backlinks (gbrain timeline <slug>,gbrain backlinks people/<slug>): how they actually frame their work, their origin arc, their texture. Use for substance so the content is true to how they think, not just how they sound. - (optional) Topic-specific pages — if the draft is about a specific
idea or company, pull the relevant page (
gbrain search "<topic>", thengbrain get <slug>) so every claim is accurate, not invented.
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.
- 7d ago First seen · 321 lines · 112 tokens per session scan A 0634fce16570
draft-in-voice is a skill published in the GitHub repository garrytan/gbrain (29,629 stars, last pushed 3d ago), licensed MIT. It adds 112 tokens to every session and 3,490 once invoked, about $0.0006 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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