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 skills add ykdojo/antigravity-cloud-run --skill gdocgit clone --depth 1 https://github.com/ykdojo/antigravity-cloud-runWrote 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/ykdojo/antigravity-cloud-run/gdoc)<a href="https://agentmods.dev/skills/ykdojo/antigravity-cloud-run/gdoc"><img src="https://agentmods.dev/badge/skills/ykdojo/antigravity-cloud-run/gdoc/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/ykdojo/antigravity-cloud-run/gdoc"><img src="https://agentmods.dev/badge/skills/ykdojo/antigravity-cloud-run/gdoc.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00016 | $0.00120 |
| Opus 5.5 | $0.00006 | $0.00048 |
| Sonnet 5.5 | $0.00003 | $0.00024 |
| Haiku 4.5 | $0.00002 | $0.00012 |
Grade A, and why
gdoc scanned grade A 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: Read publicly shared Google Docs using curl to download into a file. This is a copy
100% identical to gdoc — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Google Docs Reader
To read a Google Doc:
- Replace
/edit(or any suffix after the doc ID) with/mobilebasic - ALWAYS use curl, NOT WebFetch. WebFetch summarizes/truncates content. curl gets the full document:
curl -sL 'https://docs.google.com/document/d/DOC_ID/mobilebasic' > /tmp/doc.txt
- Read the downloaded file with the Read tool
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.
- 1mo ago First seen · 18 lines · 16 tokens per session scan A be8ced182996
gdoc is a skill published in the GitHub repository ykdojo/antigravity-cloud-run (2 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 120 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to gdoc, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
docx
Convert a specified file to docx format, or export the last response/whole conversation to export/docx.
md
Convert a specified file to markdown format, or export the last response/whole conversation to export/md.
docs
Generate full SDLC documentation suites and compile interactive HTML presentations. Trigger via /docs.
mantis-report
Generates a human-readable security review packet compiled from confirmed findings and exploit chains. Use at the end of a review cycle to produce stakeholder-facing documentation. Don't use for auditing code or verifying patches directly.
pkf-writing
Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.
conductor-new-track
Plans a new track (feature or bug fix), generates spec/plan documents, and updates the registry.