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 commands/marcosnahuel/antigravity-plugin-cc/notebook-graphgit clone --depth 1 https://github.com/MarcosNahuel/antigravity-plugin-ccWrote 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/commands/marcosnahuel/antigravity-plugin-cc/notebook-graph)<a href="https://agentmods.dev/commands/marcosnahuel/antigravity-plugin-cc/notebook-graph"><img src="https://agentmods.dev/badge/commands/marcosnahuel/antigravity-plugin-cc/notebook-graph.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 | $0.00095 | $0.00636 |
| Opus 5 | $0.00048 | $0.00318 |
| Sonnet 5 | $0.00019 | $0.00127 |
| Haiku 4.5 | $0.00010 | $0.00064 |
Grade A, and why
notebook-graph 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 4d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build a graph view of the notebook.db that /agy:notebook compiled — instantly, locally, free.
agy rarely fills the explicit relaciones array, so this derives edges from entity co-occurrence
within each document (the relational signal that needs no LLM) plus any explicit relations present.
Raw user request: $ARGUMENTS
Phase 0 — Build the graph (ONE Bash call)
Resolve OUTDIR = docs/agy/notebook/<slug> from the folder (same slug() the notebook uses). If
notebook.db is missing, tell the user to run /agy:notebook <folder> | <objetivo> first. Then:
python "${CLAUDE_PLUGIN_ROOT:-$PWD}/plugins/antigravity/scripts/notebook_graph.py" "$OUTDIR"
It prints GRAPH nodes=N edges=M (cooccur=…, explicit=…) hubs=[…] and writes <OUTDIR>/graph.json
(node-link) + <OUTDIR>/graph.html (self-contained interactive viz, vis-network from CDN).
Phase 1 — Present + reason
- Report the node/edge counts and the hub entities (most connected — your central people / orgs /
references). Point the user to
graph.htmlfor the interactive view. - Nodes are deduped entities (
persona | organizacion | referencia) + document nodes; edges areappears_in(entity→document),co_mentioned(entities sharing a document, weighted by # docs), and any explicit relations. - To answer a question, read
graph.jsondirectly (small) — e.g. neighbours of an entity, shortest path between two, or the densest cluster — instead of re-reading the source documents.
Notes
- Zero agy calls, zero new deps — pure stdlib over the existing
notebook.db. Re-run after a fresh/agy:notebookto refresh. - vs
/agy:graph: this graphs the document/entity network from your notebook RAG (free, local);/agy:graphuses Graphify (Gemini via agy) for richer graphs incl. code (tree-sitter ASTs) and Leiden communities. Use this for a quick document graph,/agy:graphfor code or deep graphs. - For exact aggregates (amounts, timelines) use
/agy:notebook-query.
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.
- 4d ago First seen · 44 lines · 95 tokens per session scan A bd3f39261571
notebook-graph is a command published in the GitHub repository MarcosNahuel/antigravity-plugin-cc (26 stars, last pushed 19d ago), licensed MIT. It adds 95 tokens to every session and 636 once invoked, about $0.0005 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.
Other commands, from other repositories
gemini-swarm
Swarm a task across parallel Gemini (agy) sessions with automatic decomposition and model routing.
gemini-imagegen
Generate or edit an image via a Gemini (agy) session — Gemini's generateimage tool does what Claude cannot.
agy-debug
Send an error/stack trace plus the relevant file(s) to Antigravity (agy) for root-cause analysis.
agy-review
Send the current change set to Antigravity (agy) for a senior-reviewer code review.
agy-panel
Ask Antigravity (agy) the same question across several distinct models and compare their answers side by side.
agy
Consult Google's Antigravity CLI (agy) and relay its answer.