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-spreadsheets/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-spreadsheets)<a href="https://agentmods.dev/skills/cloudgeni-ai/opengeni/opengeni-spreadsheets"><img src="https://agentmods.dev/badge/skills/cloudgeni-ai/opengeni/opengeni-spreadsheets.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 | $0.00062 | $0.00794 |
| Opus 5 | $0.00031 | $0.00397 |
| Sonnet 5 | $0.00012 | $0.00159 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
opengeni-spreadsheets 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenGeni spreadsheets
The durable OpenGeni artifact is the default working workbook. It is the same live object the user sees in the Artifacts dock and grid. Never maintain a mutable XLSX shadow or publish a sandbox workbook over user edits.
Read references/api.md before editing.
Choose the canonical object
- If the user means “this workbook” or a visible workbook, call
opengeni__editable_artifact_list, thenopengeni__editable_artifact_getwhen needed. Do not guess from chat text. - To begin empty, call
opengeni__editable_artifact_createwith modalityspreadsheet. - To begin from a ready workspace XLSX, call
opengeni__editable_artifact_importwith itsfileId. The source file remains immutable provenance; the returned artifact becomes the working workbook. - Use a standalone local XLSX/CSV only when the user explicitly asks to
manipulate sandbox-local bytes and the pinned local runtime is actually
available. Normal import/export uses workspace
fileIdboundaries without local bytes.
Edit and verify
- Inspect
workbook-metadata, then query only the relevant bounded viewport. - Make the smallest coherent edit. One
opengeni__editable_artifact_applycall is one atomic command batch. Use the inspected sheet id and generation id for existing sheets. Generate new stable ids withopenGeni.artifacts.ids.stable(). A direct call must pass the inspectedheadSequenceandstateHash; CodeMode carries its last read head automatically. - For one simple edit, call the artifact tools directly. For loops, bulk data,
formula generation, polling, or several inspections, write auditable Bun
code using
openGeni.artifactsfrom@opengeni/codemode. Both paths execute the exact same frozen tools and authorization. - Put typed numbers and ISO dates in cells, not display strings. Put derived values in formulas with readable relative/absolute references.
- Inspect the affected viewport after mutation and reconcile key totals and formula errors. If concurrent work invalidates an assumption, re-inspect and recompute; never force a stale range rewrite.
- Export only when the user needs XLSX/PDF/image delivery or visual QA.
opengeni__editable_artifact_export_statusreturns a durable workspacefileId; it does not write into the sandbox. Download only when local bytes are actually needed.
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.
- 8d ago First seen · 70 lines · 62 tokens per session scan A 09345bb5a5aa
opengeni-spreadsheets is a skill published in the GitHub repository Cloudgeni-ai/opengeni (126 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 794 once invoked, about $0.0003 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.
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