Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add MarcosNahuel/antigravity-plugin-cc/plugin install antigravityWrote 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-status)<a href="https://agentmods.dev/commands/marcosnahuel/antigravity-plugin-cc/notebook-status"><img src="https://agentmods.dev/badge/commands/marcosnahuel/antigravity-plugin-cc/notebook-status.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 5.1 | $0.00057 | $0.00476 |
| Opus 5 | $0.00028 | $0.00238 |
| Sonnet 5 | $0.00011 | $0.00095 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
notebook-status 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 6d 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.
What it actually says
Report the status of a notebook sweep without re-running it. Useful for a long, --background sweep
over a 200-page document set: the job record (<OUTDIR>/.jobs/current.json) tracks per-document
progress derived from the manifest + the summary files on disk.
Raw user request: $ARGUMENTS
Phase 0 — Resolve + report (ONE Bash call)
Resolve OUTDIR = docs/agy/notebook/<slug> from the folder argument (same slug() the notebook
uses). Then:
python "${CLAUDE_PLUGIN_ROOT:-$PWD}/plugins/antigravity/scripts/notebook_job.py" status "$OUTDIR"
It prints the progress line (NOTEBOOK SWEEP — NN% (done/total …)), elapsed/ETA, the objetivo, and
the first pending documents. If it prints NO_JOB, no sweep has been recorded — the user can just run
/agy:notebook <folder> | <objetivo> (the sweep is incremental, so it resumes automatically).
Phase 1 — Present
Relay the progress. If documents are pending, tell the user to re-run /agy:notebook <folder> | <objetivo> to resume — cached/done docs are skipped, so only the pending ones are processed. If
failed > 0, note those are no_procesado docs (timeout/rate-limit) that will retry on the next
run. If COMPLETE, point them to /agy:notebook-query / /agy:notebook-audit.
Notes
- Read-only; it only reads the manifest + summary files and refreshes the job record's counts.
- "Background" here is cooperative: the sweep persists state every wave, so it is always safe to interrupt and resume — there is no daemon. ETA is a rough extrapolation from the average per-doc rate.
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.
- 6d ago First seen · 39 lines · 57 tokens per session scan A d6d0a0c3645f
notebook-status is a command published in the GitHub repository MarcosNahuel/antigravity-plugin-cc (27 stars, last pushed 21d ago), licensed MIT. It adds 57 tokens to every session and 476 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.
Other commands, from other repositories
gemini-imagegen
Generate or edit an image via a Gemini (agy) session — Gemini's generateimage tool does what Claude cannot.
assess
Run an AI literacy assessment — scan the repo for evidence, ask clarifying questions, produce a timestamped assessment document, apply immediate habitat fixes, recommend workflow changes, capture a reflection, and add a literacy level badge to the README.
onboarding
Guided first run — from a fresh project to a working, queryable wiki in five short steps. Safe to re-run; resumes from wherever you are.
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.