Borrowing it
Nothing to install: this file belongs to 7toCR/paper2patent. 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/7toCR/paper2patent/main/GEMINI.mdgit clone --depth 1 https://github.com/7toCR/paper2patentWrote 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/instructions/7tocr/paper2patent/gemini-md)<a href="https://agentmods.dev/instructions/7tocr/paper2patent/gemini-md"><img src="https://agentmods.dev/badge/instructions/7tocr/paper2patent/gemini-md/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/instructions/7tocr/paper2patent/gemini-md"><img src="https://agentmods.dev/badge/instructions/7tocr/paper2patent/gemini-md.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 | $0.00160 | $0.00160 |
| Opus 5.5 | $0.00064 | $0.00064 |
| Sonnet 5.5 | $0.00032 | $0.00032 |
| Haiku 4.5 | $0.00016 | $0.00016 |
Grade A, and why
paper2patent GEMINI.md 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.
What it actually says
Gemini Project Context
This repository is a Markdown-first Paper2Patent project. It contains Chinese prompt templates and AI agent skills for converting academic papers into Chinese invention patent drafts and patent drawing specifications.
How To Work Here
- Use
skills/paper2patent/SKILL.mdas the main workflow reference. - Load files under
skills/paper2patent/references/only when the task requires the specific rule set. - Preserve source-paper fidelity: never invent technical features, embodiments, metrics, scenarios, or effects not supported by the supplied paper.
- Do not commit unpublished papers, generated patent drafts, personal data, API keys, tokens, local usernames, or local absolute paths.
- Keep Markdown UTF-8 and maintain the repository's Simplified Chinese patent terminology.
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 · 12 lines · 160 tokens per session scan A e5e866377900
paper2patent GEMINI.md is an instructions file published in the GitHub repository 7toCR/paper2patent (692 stars, last pushed 17d ago), licensed MIT. It adds 160 tokens to every session, about $0.0006 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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