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-drivegit 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-drive)<a href="https://agentmods.dev/skills/open-curiosity/gini-agent/google-drive"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/google-drive/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-drive"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/google-drive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 185 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00019 | $0.02615 |
| Opus 5.5 | $0.00008 | $0.01046 |
| Sonnet 5.5 | $0.00004 | $0.00523 |
| Haiku 4.5 | $0.00002 | $0.00262 |
Grade A, and why
google-drive 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Drive
Use gws drive to search, list, upload, download, copy, and share files and folders, plus manage shared drives, permissions, and revisions. The CLI wraps the Drive v3 API.
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 drive ...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:
drive.file— see and modify only files the agent creates or that the user explicitly opens (narrowest, recommended for untrusted agents)drive.readonly— read all of the user's files and metadatadrive— full read + write across the user's entire Drive
Selecting a Google account
The connected Google accounts (each with its tag, email, and config dir) are listed in your system context under "Connected Google accounts". To target a specific account, prefix the command with its config dir:
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 · 188 lines · 19 tokens per session scan A 5f24343cf9ff
google-drive is a skill published in the GitHub repository Open-Curiosity/gini-agent (2,103 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 2,615 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.
Other skills, from other repositories
delegation
Delegates independent work to worker agents through the Task tool, choosing between the explore scout and the ml, biology, physics, chemistry and data specialists, writing a self-contained brief for a worker that cannot see the conversation, setting boundaries on files and compute, using two independent annotators…
clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation…
tmux
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output. Use when: (1) monitoring Claude/Codex sessions running in tmux, (2) sending input to interactive terminal applications, (3) scraping output from long-running processes inside tmux, (4) navigating tmux panes/windows…
imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
clinical-decision-support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading…
gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.