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.
git clone --depth 1 https://github.com/talkstream/ru-textWrote 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/plugins/talkstream/ru-text/gemini-extension)<a href="https://agentmods.dev/plugins/talkstream/ru-text/gemini-extension"><img src="https://agentmods.dev/badge/plugins/talkstream/ru-text/gemini-extension/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/plugins/talkstream/ru-text/gemini-extension"><img src="https://agentmods.dev/badge/plugins/talkstream/ru-text/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ru-text 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.
What it actually says
{
"name": "ru-text",
"version": "2.10.9",
"description": "Russian text quality for AI agents — neuroslop cleanup, typography, information style, editorial standards, UX writing, business correspondence. Scores text 0–10. 2,000+ linguistic atoms."
}
What ships with it
11 files beside gemini-extension.json 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.
- assets/fonts/golos-text-cyrillic.woff2 22 KB
- assets/fonts/golos-text-latin.woff2 37 KB
- assets/fonts/OFL.txt 4.3 KB
- assets/icon.png 22 KB
- assets/mark-invert.png 8.4 KB
- assets/mark.png 54 KB
- assets/og/og-dark-1200x628.jpg 117 KB
- assets/og/og-dark-1280x640.jpg 118 KB
- assets/og/og-light-1200x628.jpg 122 KB
- assets/og/og-light-1280x640.jpg 124 KB
- assets/og/og.html 6.5 KB
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 Changed daf2c0f98060
- 14d ago Changed 2036a926f23e
- 19d ago Changed a9babbb6d0b8
- 22d ago First seen · 6 lines scan A 40b8fd693249
ru-text is a plugin published in the GitHub repository talkstream/ru-text (267 stars, last pushed 3d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-26.
Other plugins, from other repositories
humanizer-ru
A Russian-language editing plugin that checks text for patterns associated with machine-generated writing and applies a chosen voice.
humanizer-ru
A plugin for reviewing Russian-language text for signs of machine-generated writing and, when explicitly requested, rewriting it to sound more natural.
developing-ai-agents
An engineering guide for designing, building, debugging, and evaluating AI agents—software that can use tools and memory to complete tasks.
practicaltypography
A typography skill that audits and produces publication-quality text for blogs, docs, slides, and any content — distilled from Butterick's Practical Typography.
design-reference
Iterative design research process: brief, reference collection, per-reference feedback, pattern synthesis, design principles, and prototype iteration. Builds shared visual language before any prototyping begins.
image-prompt-creator
5-phase workflow for creating production-quality AI image generation prompts. Handles brand consistency, concept exploration, Nano Banana prompt crafting, iterative revision, and saving. Includes full prompting guide for Google's Nano Banana image generator.