Borrowing it
Nothing to install: this file belongs to Cloudgeni-ai/opengeni. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Cloudgeni-ai/opengeni/main/.agents/skills/opengeni-setup/SKILL.mdgit clone --depth 1 https://github.com/Cloudgeni-ai/opengeniWrote 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/cloudgeni-ai/opengeni/opengeni-setup)<a href="https://agentmods.dev/skills/cloudgeni-ai/opengeni/opengeni-setup"><img src="https://agentmods.dev/badge/skills/cloudgeni-ai/opengeni/opengeni-setup/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/cloudgeni-ai/opengeni/opengeni-setup"><img src="https://agentmods.dev/badge/skills/cloudgeni-ai/opengeni/opengeni-setup.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 | $0.00083 | $0.01895 |
| Opus 5.5 | $0.00033 | $0.00758 |
| Sonnet 5.5 | $0.00017 | $0.00379 |
| Haiku 4.5 | $0.00008 | $0.00189 |
Grade A, and why
opengeni-setup 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 17d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opengeni developer setup
You are the product's coding agent. Get the product a working Opengeni chat agent, then wire the product's own tools into it. The embedding code follows the embedding skill. This skill is not a runtime Skill for the product's end-user agent.
When the opengeni MCP tools are available (the Opengeni plugin connects
them), use them to inspect and act on the user's Opengeni organization:
opengeni_actions_search finds an action, opengeni_action_describe shows its
input, opengeni_action_call runs it. Prefer them over hand-written API calls.
The first use opens a browser sign-in where the user chooses what the agent may
access. The product's server still needs its own organization API key (step 2).
The REST/SDK walkthrough has the exact request bodies, verification calls and recovery rules; read the section for a step before executing it. Never invent a route, SDK method or permission. The SDK example is typechecked against this repo.
The default path is steps 1–4: a verified chat, then verified product tools. The user may stop after the working chat (step 3); otherwise continue to tools. Steps 5–6 run only when the product or request needs them.
1. Inspect the product and target
Inspect the product's auth, tenancy, existing Opengeni config, runtime, API (OpenAPI document or MCP server), environment-file conventions and deployment. Reuse its sharing boundaries and derive the organization name from the product. Don't ask about things the product or request already settles.
Target: https://app.opengeni.ai (use https://staging.app.opengeni.ai only
when asked to test against staging). Do not use a Personal workspace as the
product's workspace.
2. Sign in and create the organization key
If the Opengeni MCP tools are connected, use them: the user already signed in when connecting. Otherwise ask the user to sign in or sign up at the target app (in your browser if you have one).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 17d ago Changed · -18 lines · -2 tokens per session c7a05cde9ca3
- 18d ago Changed · +6 lines · -5 tokens per session 1f2a8d5b8141
- 19d ago Changed · +9 lines 6a6ff2618386
- 20d ago First seen · 168 lines · 90 tokens per session scan A 46ddbc8a5547
opengeni-setup is a skill published in the GitHub repository Cloudgeni-ai/opengeni (205 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 1,895 once invoked, about $0.0003 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 2026-10-02.
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