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/auditgit 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/audit)<a href="https://agentmods.dev/commands/vladimir-human/humanizer-ru/audit"><img src="https://agentmods.dev/badge/commands/vladimir-human/humanizer-ru/audit.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 | $0.00012 | $0.00201 |
| Opus 5 | $0.00006 | $0.00101 |
| Sonnet 5 | $0.00002 | $0.00040 |
| Haiku 4.5 | $0.00001 | $0.00020 |
Grade A, and why
audit 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 today.
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
Проверь текст $ARGUMENTS на следы машинной генерации по скиллу
humanizer-ru (SKILL.md). Ничего не переписывай.
Прогони чек-лист audit-checklist.md по одной проверке за проход.
- Если это путь к файлу: прочитай файл и работай с его содержимым.
- Если текст: работай с ним напрямую.
- Если вход пустой: попроси текст или путь.
Выведи таблицу находок: категория, цитата из текста (дословно) и что именно выдаёт машинную генерацию. В конце дай краткую сводку: число находок и категории-лидеры, и 3–5 главных рекомендаций, не меняя сам текст.
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.
- today Changed f40bf28d9e66
- 5d ago First seen · 17 lines · 12 tokens per session scan A 7ee4cdf26eb8
audit is a command published in the GitHub repository Vladimir-Human/humanizer-ru (123 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 201 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
audit
Аудит текста на признаки AI без правки (сканер + разбор по скиллу).
humanize
Очеловечить русский AI-текст (полное редактирование по скиллу humanizer-ru).
voice-profiles
List, activate, delete, rename, and export voice profiles.
voice-setup
Interactive setup for human voice configuration.
voice-interview
Start a new voice elicitation interview session.
aat-lint
Lint a file or directory for visual + prose AI-tells (Tier-1 mechanical pass).