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 agentmods add skills/talkstream/ru-text/corpusnpx skills add talkstream/ru-text --skill corpusgit clone --depth 1 https://github.com/talkstream/ru-textWhat 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 | $0.00038 | $0.00120 |
| Opus 5 | $0.00019 | $0.00060 |
| Sonnet 5 | $0.00008 | $0.00024 |
| Haiku 4.5 | $0.00004 | $0.00012 |
Grade A, and why
fixture 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 2d 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 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.
- 2d ago First seen · 24 lines · 38 tokens per session scan A c864542d9350
fixture is a skill published in the GitHub repository talkstream/ru-text (222 stars, last pushed 4d ago), licensed MIT. It adds 38 tokens to every session and 120 once invoked, about $0.0002 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
article-sketchnote-editorial
把一个概念铸成杂志专题档案——真问题→失败→转折→顿悟→命名, 6 个 layout 模具 + 4 字族对比 + 探案档案细节.
deck-swiss-international
16 列网格 + 单一饱和 accent + 22 个锁死版面 (Klein Blue / Lemon / Mint / Safety Orange).
deck-guizang-editorial
电子杂志 × 电子墨水; 10 个版面 + 5 套调色板 (墨水/靛蓝瓷/森林墨/牛皮纸/沙丘).
doc-kami-parchment
暖羊皮纸底 (#f5f4ed) + 墨蓝单色 accent (#1B365D) + 单一衬线字体, 编辑级排印.
frame-data-chart-nyt
NYT-newsroom 排版 + 错峰揭示动画 + 编辑级图表 (折线/柱/范围带).
deck-magazine-web
电子杂志 × 电子墨水风, WebGL 流体背景 + 衬线 display.