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/ilyautov/humanizer-ru/auditgit clone --depth 1 https://github.com/ilyautov/humanizer-ruWhat 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 | $0.00022 | $0.00304 |
| Opus 5 | $0.00011 | $0.00152 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
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 3d 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
Используй скилл humanizer-ru в режиме «Аудит»: покажи маркеры, ничего не переписывай.
Вход: $ARGUMENTS
- Если это путь к файлу: работай с файлом; если текст, сохрани его во временный файл для сканера.
- Если вход пустой: попроси текст или путь.
Порядок по скиллу: сначала машинная половина. Запусти детерминированный сканер, если доступен python3 с razdel и pymorphy3:
python3 <папка скилла>/scripts/scan.py <файл>
Если зависимостей нет: предложи pip-однострочник и проведи аудит вручную по каталогу маркеров. Аудит обязан состояться при любом раскладе.
Поверх отчёта сканера добавь суждение: отметь ложные срабатывания (жанр, формальный регистр, осмысленные триады), расставь приоритеты правок от самых выдающих к косметике. В конце дай вердикт по шкале сканера и 3-5 главных рекомендаций.
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.
- 3d ago First seen · 29 lines · 22 tokens per session scan A 6e0b8d998d7b
audit is a command published in the GitHub repository ilyautov/humanizer-ru (269 stars, last pushed 4d ago), licensed MIT. It adds 22 tokens to every session and 304 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
Проверить текст на следы ИИ без правки.
humanize
Очеловечить русский ИИ-текст: найти следы машинной генерации и переписать естественным языком.
sm-sail
Command "sm-sail" from ScienceIsNeato/slop-mop, covering /sm-sail — drive a pr to green, autonomously, the loop, when sail parks on review threads, when to stop before "pr ready" — only two reasons and expect convergence, not one pass.
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
sm-barnacle
Use when sm itself gives invalid guidance, blocks valid work, produces confusing output, or breaks install/upgrade/refit flow. Do not use this for real target-repo failures; fix those through the normal rail.
sm-scour
Run slop-mop's comprehensive pre-PR sweep for this repository.