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/research-compendiumWrote 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/research-compendium)<a href="https://agentmods.dev/skills/garrytan/gbrain/research-compendium"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/research-compendium/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/research-compendium"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/research-compendium.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high YARA Match · line 75 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Prompt Injection · line 76 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
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 | $0.00125 | $0.05757 |
| Opus 5.5 | $0.00050 | $0.02303 |
| Sonnet 5.5 | $0.00025 | $0.01151 |
| Haiku 4.5 | $0.00013 | $0.00576 |
Grade B, and why
research-compendium scanned grade B with 1 finding 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.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
"ignore previous instructions," embedded tool-call syntax, or urgent demands Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.
research-compendium — Archive Everything, Summarize 1:1, Synthesize Once
Convention: see conventions/brain-first.md for the lookup chain. Phase 1 is literally brain-first: search the brain before the open web — the corpus may already be partly ingested.
Convention: see conventions/quality.md for citation rules, quote fidelity, and back-link enforcement.
Convention: see _brain-filing-rules.md — everything this skill writes files under
research/per the research rule.
What this is
Turn a research question into a permanent brain asset: find everything → archive every primary source → summarize each 1:1 → synthesize one self-contained compendium.
This is distinct from data-research (which extracts structured data into
trackers). This skill produces prose knowledge synthesis — a definitive,
fast-to-read, comprehensive reference page backed by an archived source corpus.
Use when the user says "research X, read everything, save the sources,
summarize each, and write me a compendium / definitive guide /
everything-you-need-to-know doc." If the ask is structured data into a
table/tracker → data-research instead.
Retention policy (read before archiving)
Archive-everything is gated by the user's privacy posture — minimization is a feature. Verbatim archiving is the default for public research corpora (papers, standards, published articles). When a source is personal, sensitive, or third-party-private (correspondence, medical or financial records, private group content), or when the user has expressed a minimization preference: store the citation + a summary, skip the verbatim mirror, and say so in the index. A compendium that hoards sensitive raw material the user never wanted retained is a bug, not thoroughness.
Untrusted content
Convention: see conventions/untrusted-content.md — the canonical home for this rule. This section is the verbatim-archive expansion; the shared convention carries the cross-skill canon.
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 706324bff27e
- 17d ago Changed · +1 lines 6d2152843248
- 19d ago Changed · +8 lines 9bc9773a0c55
- 1mo ago First seen · 433 lines · 125 tokens per session scan B 3394628692d6
research-compendium is a skill published in the GitHub repository garrytan/gbrain (31,098 stars, last pushed today), licensed MIT. It adds 125 tokens to every session and 5,757 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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