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/article-enrichmentWrote 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/article-enrichment)<a href="https://agentmods.dev/skills/garrytan/gbrain/article-enrichment"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/article-enrichment.svg" alt="Measured on agentmods" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 131 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.
- medium Agent Snooping · line 132 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 | $0.00050 | $0.01437 |
| Opus 5 | $0.00025 | $0.00718 |
| Sonnet 5 | $0.00010 | $0.00287 |
| Haiku 4.5 | $0.00005 | $0.00144 |
Grade A, and why
article-enrichment 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 8d 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:
- article-enrichment — 100% identical, 0 lines differ
- article-enrichment — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
article-enrichment — From Raw Dumps to Useful Brain Pages
Convention: see conventions/quality.md for citation rules, verbatim-quote requirements, and back-link enforcement.
Convention: see _brain-filing-rules.md for filing rules. Article pages live under
media/articles/for raw ingest; personalized one-of-one synthesis output uses the sanctionedmedia/articles/<slug>-personalized.mdexception.
What this does
Takes an article brain page that's a wall of raw extracted text and rewrites it as a structured page with:
- Executive Summary — 2-3 sentences, the ONE thing worth remembering
- Why It Matters — connects to the user's specific projects + interests (read from brain context, not assumed)
- Quotable Lines — 3-5 VERBATIM quotes worth referencing in essays
- Key Insights — actual insights, not topic labels
- Surprising or Counterintuitive — what makes this content unique
- See Also — standard markdown links to related brain pages
Raw source content is preserved in a collapsed <details> section so the
original is never lost.
When to invoke
- New article page lands in the brain via media-ingest with
needs_enrichment: true - Existing article page is a wall of text under a
## Contentheader with no synthesis - User says a brain page is useless, boring, or a dump
- An LLM-judge brain-quality eval fails on quotability or actionability for an article page
The pipeline
1. READ → Open the article brain page; parse frontmatter + body.
2. SCAN → Look for ## Content (raw dump) and absence of ## Executive Summary.
3. CONTEXT → gbrain query the article's key entities to ground "Why It Matters".
4. ENRICH → Sonnet (default) or Opus (for high-value content) restructures.
5. WRITE → Replace ## Content with the structured sections; preserve raw
source in <details>; clear needs_enrichment in frontmatter.
6. CROSS-LINK→ Add back-links from referenced people/companies pages
(Iron Law per conventions/quality.md).
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.
- 8d ago First seen · 150 lines · 50 tokens per session scan A fcdbce0f250a
article-enrichment is a skill published in the GitHub repository garrytan/gbrain (29,702 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,437 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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