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 skills add Major-Woolfi/Skills_for_AI-Agents --skill antiloopgit clone --depth 1 https://github.com/Major-Woolfi/Skills_for_AI-AgentsWrote 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/skills/major-woolfi/skills_for_ai-agents/antiloop)<a href="https://agentmods.dev/skills/major-woolfi/skills_for_ai-agents/antiloop"><img src="https://agentmods.dev/badge/skills/major-woolfi/skills_for_ai-agents/antiloop/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/skills/major-woolfi/skills_for_ai-agents/antiloop"><img src="https://agentmods.dev/badge/skills/major-woolfi/skills_for_ai-agents/antiloop.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00049 | $0.00948 |
| Opus 5 | $0.00024 | $0.00474 |
| Sonnet 5 | $0.00010 | $0.00190 |
| Haiku 4.5 | $0.00005 | $0.00095 |
Grade A, and why
antiloop 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AntiLoop — Навык предотвращения зацикливаний
Описание
Навык для предотвращения зацикливаний при использовании инструментов и размышлении. Применяется автоматически при любой работе с файлами и инструментами записи.
Когда активировать
- Автоматически при любом использовании
edit_file,run_terminal_command - При любой ошибке поиска или изменения
- При повторных неудачных попытках вызова инструментов
Философия
Один промах — не ошибка. Два промаха — повод остановиться. Три — сигнал к смене стратегии.
Принципы AntiLoop
- Ограничение на повторения. Один и тот же вызов — не более двух раз подряд.
- Перечитай перед повтором. Каждый повтор обязан использовать новые данные.
- Меняй стратегию. Если два подхода не сработали — пробуй третий.
- Останавливайся. Три шага без прогресса — сигнал к остановке.
Обязательный цикл
Шаг 1: Первая попытка
Вызови инструмент с наилучшими аргументами.
Шаг 2: Анализ ошибки
Если инструмент вернул ошибку — не повторяй тот же вызов.
- Перечитай relevant-часть файла через
read_file - Найди точное содержимое для
old_string/path/query - Определи, почему предыдущая попытка не сработала
Шаг 3: Корректировка
Вызови инструмент с скорректированными аргументами.
Шаг 4: Смена стратегии (если нужно)
Если инструмент не сработал второй раз:
- edit_file не нашёл
old_string→ перечитай файл, найди точное совпадение, проверь отступы - grep_search не нашёл паттерн → попробуй другой паттерн, используй
file_glob_search - read_file вернул меньше строк → смести
line_start, читай дальше - run_terminal_command вернул ошибку → проверь путь, права, синтаксис
Шаг 5: Остановка
Если 3 шага подряд не дали прогресса:
- Прекрати циклические вызовы
- Верни пользователю краткий статус
- Предложи альтернативу или задай уточняющий вопрос
Чек-лист
- Я перечитал файл и знаю точное содержимое
- Мои аргументы отличаются от предыдущих
- Я понимаю, почему предыдущая попытка не сработала
- Я знаю, что буду делать при следующей неудаче
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.
- 10d ago First seen · 109 lines · 49 tokens per session scan A f8350ceab1f1
antiloop is a skill published in the GitHub repository Major-Woolfi/Skills_for_AI-Agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 948 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 2026-08-31.
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