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 reportsgit 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/reports)<a href="https://agentmods.dev/skills/garrytan/gbrain/reports"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/reports/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/reports"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/reports.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 134 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 | $0.00064 | $0.01631 |
| Opus 5.5 | $0.00026 | $0.00652 |
| Sonnet 5.5 | $0.00013 | $0.00326 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade A, and why
reports 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 16d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reports Skill
Contract
This skill guarantees:
- Reports saved with timestamped filenames and frontmatter
- Keyword routing: query → report category mapping
- Latest report loadable by category name
- Reports are searchable via gbrain search/query
- Outbound reports pass the Actionability Gate (below) before delivery
Phases
- Save report. Write to
reports/{category}/{YYYY-MM-DD-HHMM}.mdwith frontmatter:--- title: {report title} type: note # a type the default pack declares; `report` is undeclared report_type: {category name} category: {category name} date: {YYYY-MM-DD} time: {HH:MM PT} --- - Load latest. Given a category, find the most recent report file.
- Keyword routing. Map common queries to report categories:
- "email" / "inbox" → ea-inbox-sweep
- "social" / "mentions" → social-mentions
- "briefing" / "morning" → morning-briefing
- "meeting" → meeting-sync
- Custom mappings configurable
Output Format
Saved: reports/{category}/{YYYY-MM-DD-HHMM}.md
Loaded: full report content with metadata.
Actionability Gate
Before any report reaches the user — a morning briefing, a meeting digest, a
research report — every link must answer one question: can the user click
this and immediately act? The link canon (deterministic, never-guessed URLs)
lives in skills/_output-rules.md under Deterministic Links; this gate adds
the delivery-time failure taxonomy and the retry loop.
Four failure modes
| Mode | What it means | Example |
|---|---|---|
| Broken | Link is fake or a placeholder | https://example.com, TODO-find-link |
| Dead | Link to a brain page that isn't committed/pushed | Page written but not pushed — the link 404s |
| Indirect | Link goes somewhere, but not the right place | x.com/alice-example (profile) instead of x.com/alice-example/status/<id> (the specific post) |
| Missing | Actionable item mentioned with no link at all | "the clip making the rounds (~800K views)" with no URL |
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.
- 16d ago Changed 87f976f01f48
- 17d ago Changed · +1 lines 5df1a7ee348e
- 19d ago Changed · +8 lines 69d39aad7c4b
- 20d ago Changed · +1 lines cdd1e67b264a
- 1mo ago First seen · 146 lines · 64 tokens per session scan A 02b67964afa4
reports is a skill published in the GitHub repository garrytan/gbrain (31,098 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 1,631 once invoked, about $0.0003 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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