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-meetgit 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-meet)<a href="https://agentmods.dev/skills/open-curiosity/gini-agent/google-meet"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/google-meet.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.02054 |
| Opus 5 | $0.00010 | $0.01027 |
| Sonnet 5 | $0.00004 | $0.00411 |
| Haiku 4.5 | $0.00002 | $0.00205 |
Grade A, and why
google-meet 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 8d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Meet
Use gws meet to create Meet spaces (the persistent video rooms with a join link), fetch metadata for a space, and inspect conference records — past calls, participants, recordings, transcripts, and smart notes. Wraps the Meet v2 API.
Prerequisites
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 meet ...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:
- Create / update / end spaces:
meetings.space.created - Read past conference records, participants, recordings, transcripts:
meetings.space.readonly
- Create / update / end spaces:
- Recordings, transcripts, and smart notes are Workspace-tier features. They may be absent on personal
@gmail.comaccounts even when the scope is granted.
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:
GOOGLE_WORKSPACE_CLI_CONFIG_DIR="<configDir>" gws meet spaces create --json '{}'
Selection rule: one account connected → just use it. Two or more:
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.
- 8d ago First seen · 157 lines · 20 tokens per session scan A 0f518364e7c2
google-meet is a skill published in the GitHub repository Open-Curiosity/gini-agent (2,018 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,054 once invoked, about $0.0001 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 skills, from other repositories
pptx
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying…
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…
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…
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…
clinical-imaging
Clinical and physiological imaging analysis. Diffusion MRI ADC maps, micro-CT bone morphometry, hemodynamic parameter analysis, circadian rhythm cosinor analysis, ciliary beat frequency (FFT), and tissue deformation optical flow. For DICOM file handling use pydicom; for biosignals use neurokit2.