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 agentmods add skills/garrytan/gbrain/brain-pdfnpx skills add garrytan/gbrain --skill brain-pdfgit 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/brain-pdf)<a href="https://agentmods.dev/skills/garrytan/gbrain/brain-pdf"><img src="https://agentmods.dev/badge/skills/garrytan/gbrain/brain-pdf.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 | $0.00053 | $0.01729 |
| Opus 5 | $0.00026 | $0.00864 |
| Sonnet 5 | $0.00011 | $0.00346 |
| Haiku 4.5 | $0.00005 | $0.00173 |
Grade A, and why
brain-pdf 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 5d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brain-pdf — Render a Brain Page to Publication-Quality PDF
Convention: see conventions/quality.md for output rules. The PDF is a rendering — never the primary artifact. If a PDF exists, the source brain page exists behind it.
The rule
The brain page is ALWAYS the source of truth. The PDF is a rendering of it, never a standalone artifact. If a PDF exists somewhere, the brain page must exist behind it.
What this does
Renders a brain page (markdown with frontmatter) into a
publication-quality PDF using the gstack make-pdf binary. Output is
suitable for:
- Sharing a personalized book mirror via email or Telegram
- Delivering a strategic-reading playbook as a clean read
- Producing a briefing or report with running headers and page numbers
- Archiving a long-form essay in a portable format
Prerequisite: gstack make-pdf
This skill depends on the gstack make-pdf binary at:
$HOME/.claude/skills/gstack/make-pdf/dist/pdf
The user must have gstack co-installed. If absent, the skill cannot run. A future v0.26+ may bundle a fallback PDF renderer; for v0.25.1 gstack is a soft prereq.
Verify it exists before invoking:
P="$HOME/.claude/skills/gstack/make-pdf/dist/pdf"
[ -x "$P" ] || { echo "make-pdf not installed; install gstack" >&2; exit 1; }
Workflow
1. RESOLVE → Confirm the brain page exists (gbrain get <slug>).
2. STRIP → Remove YAML frontmatter — the renderer would otherwise
dump it as a full page of raw metadata text.
3. RENDER → Invoke make-pdf with sane defaults (no --cover, no --toc).
4. DELIVER → Hand the PDF to the requester via the agent's preferred
channel (do not use raw `MEDIA:` tags on Telegram —
they fail silently).
Invocation
SLUG="path/to/page"
P="$HOME/.claude/skills/gstack/make-pdf/dist/pdf"
# 1. Confirm the page exists.
gbrain get "$SLUG" > /dev/null || { echo "Page $SLUG not found" >&2; exit 1; }
# 2. Get the raw markdown. Two paths: read from the brain repo (if user
# syncs locally) OR ask gbrain for the body via the API.
BRAIN_DIR=$(gbrain config get sync.repo_path 2>/dev/null || echo)
if [ -n "$BRAIN_DIR" ] && [ -f "$BRAIN_DIR/$SLUG.md" ]; then
RAW="$BRAIN_DIR/$SLUG.md"
else
RAW=$(mktemp /tmp/brain-page-XXXXXX.md)
gbrain get "$SLUG" --raw > "$RAW" # whatever flag exposes raw body
fi
# 3. Strip YAML frontmatter — sed: skip the opening '---' through the
# closing '---' (lines 1..N), then keep everything after.
CLEAN=$(mktemp /tmp/brain-page-clean-XXXXXX.md)
sed '1{/^---$/!q}; /^---$/,/^---$/d' "$RAW" > "$CLEAN"
# 4. Render. NO --cover, NO --toc by default — they look corporate
# and waste space. Add them only if explicitly requested.
OUT="/tmp/$(basename "$SLUG").pdf"
CONTAINER=1 "$P" generate "$CLEAN" "$OUT"
echo "Rendered: $OUT"
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.
- 5d ago First seen · 187 lines · 53 tokens per session scan A 13c3e3162763
brain-pdf is a skill published in the GitHub repository garrytan/gbrain (29,539 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 1,729 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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