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 commands/vladimir-human/humanizer-ru/humanizegit clone --depth 1 https://github.com/Vladimir-Human/humanizer-ruWrote 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/commands/vladimir-human/humanizer-ru/humanize)<a href="https://agentmods.dev/commands/vladimir-human/humanizer-ru/humanize"><img src="https://agentmods.dev/badge/commands/vladimir-human/humanizer-ru/humanize.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00180 |
| Opus 5 | $0.00013 | $0.00090 |
| Sonnet 5 | $0.00005 | $0.00036 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
humanize 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 4d 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
Очеловечь текст $ARGUMENTS по скиллу humanizer-ru (SKILL.md).
- Если это путь к файлу: прочитай файл и работай с его содержимым.
- Если текст: работай с ним напрямую.
- Если вход пустой: попроси пользователя дать текст или путь.
Проверь текст на следы машинной генерации, затем по правилам скилла перепиши его естественным языком, не искажая смысла и не придумывая фактов. Выведи: переписанный текст, затем коротко (3–5 пунктов), что именно было исправлено и почему.
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.
- 4d ago First seen · 16 lines · 0 tokens per session scan A 1abb1b446cfe
humanize is a command published in the GitHub repository Vladimir-Human/humanizer-ru (120 stars, last pushed 5d ago), licensed MIT. It adds 25 tokens to every session and 180 once invoked, about $0.0001 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 commands, from other repositories
humanize
Очеловечить русский AI-текст (полное редактирование по скиллу humanizer-ru).
audit
Аудит текста на признаки AI без правки (сканер + разбор по скиллу).
ai-polish-text-expert
Agent orkiestrujący dla pracy z treściami tekstowymi w języku polskim. Menu wyboru trybów analizy, porównania i korekty.
popraw-tresc
Refaktoryzacja i korekta treści tekstowych w języku polskim z rejestrem zmian. Używaj gdy użytkownik chce poprawić, redagować lub ulepszyć tekst.
translation-review
全面审核翻译质量: 对比原版、专项检查、质量评分与发布验证, 发现问题时自动衔接修复流程.
wp-polylang
Translate an existing WordPress site into a second language using Polylang.