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 daily-task-prepgit 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/daily-task-prep)<a href="https://agentmods.dev/skills/garrytan/gbrain/daily-task-prep"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/daily-task-prep/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/daily-task-prep"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/daily-task-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 Agent Snooping · line 34 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00033 | $0.00585 |
| Opus 5.5 | $0.00013 | $0.00234 |
| Sonnet 5.5 | $0.00007 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade A, and why
daily-task-prep 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 15d 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:
- daily-task-prep — 88% identical, 10 lines differ
- daily-task-prep — 88% identical, 10 lines differ
What it actually says
Daily Task Prep
Contract
This skill guarantees:
- Calendar/meetings for today are loaded with brain context per attendee
- Open threads from yesterday are surfaced
- Active tasks reviewed with priority ordering
- Prep briefing is actionable (not just informational)
Phases
- Load calendar. Check today's meetings. For each: load attendee brain pages, recent timeline, open threads.
- Check yesterday's threads. When google sources exist,
gbrain waiting --jsonis the real data source for open threads and unanswered items — prefer it over prose heuristics (it carries loop rows with counterparty, due date, and evidence; seeskills/google-loops/SKILL.md). Otherwise, search brain for yesterday's timeline entries. Flag anything unresolved. - Review active tasks. Load
ops/tasksfrom brain. Surface P0 and P1 items. - Compile prep briefing. Per-meeting context cards + open threads + task priorities.
Output Format
Morning Prep — {date}
======================
Meetings today: {N}
## {Meeting 1 title} at {time}
Attendees: {names with brain context}
Context: {recent interactions, open threads}
Prep: {what to know before this meeting}
## Open Threads
- {thread from yesterday, with context}
## Tasks (P0-P1)
- {task with priority}
When it fails
Follow the agent operator protocol for any gbrain error code, exit code, [AGENT] block or notice block. Specific to this skill:
gbrain waitingrefuses on stale data: run (or ask the user to run) the sync it names, then retry; do not prep from stale mail.- Meeting-context searches return nothing with a degraded notice: say the brain is searching keywords only right now, instead of "no prior context".
Anti-Patterns
- Listing meetings without loading attendee context from brain
- Ignoring yesterday's unresolved threads
- Presenting tasks without priority ordering
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.
- 15d ago Changed · -9 lines 14bbf381ee9e
- 16d ago Changed 498df45338ba
- 17d ago Changed · +1 lines 9780d9d51256
- 18d ago Changed 321603e53190
- 19d ago Changed · +16 lines c308a2ae2d37
- 1mo ago First seen · 62 lines · 33 tokens per session scan A b2340d2819b5
daily-task-prep is a skill published in the GitHub repository garrytan/gbrain (31,098 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 585 once invoked, about $0.0001 per session on Opus 5.5. 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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