Gini Agent is a personal AI-agent runtime that manages conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces, audit events, and runtime health across its clients. It is for an agent that can remember, learn from task outcomes, and operate through desktop or mobile interfaces with user controls. Catalogue add-ons extend the runtime with skills and instructions.
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 Open-Curiosity/gini-agent --skill google-sheetsgit clone --depth 1 https://github.com/Open-Curiosity/gini-agentWrote 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/open-curiosity/gini-agent/google-sheets)<a href="https://agentmods.dev/skills/open-curiosity/gini-agent/google-sheets"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/google-sheets/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/open-curiosity/gini-agent/google-sheets"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/google-sheets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.02873 |
| Opus 5.5 | $0.00008 | $0.01149 |
| Sonnet 5.5 | $0.00004 | $0.00575 |
| Haiku 4.5 | $0.00002 | $0.00287 |
Grade A, and why
google-sheets 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 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.
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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Sheets
Use gws sheets to create spreadsheets, read cell ranges, append rows, update values, and run structured batch updates against the Sheets v4 API. This is the content surface for Google Sheets — for the file as an object (sharing, copying, moving, trashing) use google-drive instead.
Prerequisites
- If this deployment is managed/hosted, the Google credential is already provisioned at sign-in —
gwsis installed and authenticated, so skip the setup flow below and rungwsdirectly. Scopes are fixed at sign-in on a managed deployment: when a call fails withscope requiredor HTTP 401, tell the user which action needs a scope their account wasn't granted, instead of trying to set anything up. (The scope list below still describes which verb needs which scope.) gwsinstalled and authenticated. Ifgwsis not on PATH ORgws auth statusreports no authenticated user, do NOT silently call setup. Instead, in a single short reply to the user:- State plainly what's missing — e.g. "Google Workspace access isn't set up on this machine yet" or "your Google sign-in has expired."
- Ask one sentence: "Want me to walk you through setting it up?" Wait for the user's answer.
- If they say yes, call
read_skillwith namegoogle-workspace-setupand run that skill's onboarding flow turn-by-turn. If they say no or ask to defer, acknowledge briefly and stop — do not retry the original request.
- Apply the same flow when any
gws sheets ...call fails mid-task withcommand not found/ ENOENT, HTTP 401, "no credentials", or "scope required". Don't report the failure as a dead end — surface the missing prerequisite and ask if the user wants to set it up before moving on. - OAuth scopes the user picked at login must cover the verbs the agent will use:
- Read and write Sheets:
sheets(maps tohttps://www.googleapis.com/auth/spreadsheets) - Read-only Sheets: pass
--scopes "https://www.googleapis.com/auth/spreadsheets.readonly"at login - Find sheets by title (or list recent sheets) before reading: pair with
drive.readonly - The Sheets API also accepts the broader
drivescope, which covers finding sheets by title too — an account with a fulldrivegrant needs no separatesheetsscope
- Read and write Sheets:
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 · 210 lines · 21 tokens per session scan A 41e0c8203c81
google-sheets is a skill published in the GitHub repository Open-Curiosity/gini-agent (2,034 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 2,873 once invoked, about $0.0001 per session on Opus 5.5. 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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