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 bestdeejay-design/agent-skills --skill systematic-debuggergit clone --depth 1 https://github.com/bestdeejay-design/agent-skillsWrote 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/bestdeejay-design/agent-skills/systematic-debugger)<a href="https://agentmods.dev/skills/bestdeejay-design/agent-skills/systematic-debugger"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/systematic-debugger/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/bestdeejay-design/agent-skills/systematic-debugger"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/systematic-debugger.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 | $0.00000 | $0.01397 |
| Opus 5.5 | $0.00000 | $0.00559 |
| Sonnet 5.5 | $0.00000 | $0.00279 |
| Haiku 4.5 | $0.00000 | $0.00140 |
Grade A, and why
systematic-debugger 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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systematic Debugger
Отладка по методу «Железного закона»: не трогаем код, пока причина не подтверждена гипотезами и данными. 4 фазы, Red Flags, Rationalization Table, регресс-тест.
Загружай этот скилл когда есть баг/неожиданное поведение и нужно найти корневую причину (root cause), а не наколеночный фикс. Скилл ведёт процесс: воспроизведение, гипотезы, изоляция, минимальный фикс + тест-регрессия.
🎯 When to use
Use this skill when:
- «Почему это не работает?», «что-то сломалось», «неожиданный результат»
- Нужен структурированный поиск причины, а не «попробуй вот так»
- Баг воспроизводится, но причина неочевидна; нужно зафиксировать факты
- Нужен отчёт для передачи коллеге/агента: среда, шаги, гипотезы, регресс-план
Do NOT use when:
- Правка тривиальна и причина очевидна — просто сделай минимальный фикс
- Нужно просто «посмотреть как работает X» — это explore, не отладка
- Произошёл сбой из-за инфраструктуры (нет кода) — сначала собери факты окружения
📦 Files
SKILL.md— этот файлscripts/debug_log.py— формирование отчёта по фазам (Python 3 stdlib)
⚙️ Iron Law (Железный закон)
Никаких изменений кода, пока причина не подтверждена минимум одной воспроизводимой гипотезой. Один фикс за раз — после каждого изменения перепроверяй по фактам.
🔧 Workflow (4 фазы)
Фаза 1 — Воспроизведение
- Зафиксируй точные шаги, при которых баг проявляется.
- Зафиксируй «факт»: что происходит на самом деле (вывод, лог, скрин).
- Попробуй минимизировать: убрать переменные, пока баг воспроизводится.
Фаза 2 — Гипотезы
- Выдвини 1..3 гипотезы о причине (не больше).
- Для каждой — как её проверить (команда/тест/лог) и какой результат ожидаем.
- Заполни Rationalization Table: гипотеза → проверка → результат → вердикт.
Фаза 3 — Изоляция причины
- Проверяй гипотезы по одной; после каждой проверки обновляй таблицу.
- Используй минимальные вмешательства: точечный лог, изолированный репродюсер.
- Red Flag: если «внезапно заработало» без понимания почему — это НЕ фикс.
What ships with it
3 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.
- 1mo ago Changed · +5 lines 79bd12c6d8b1
- 1mo ago First seen · 91 lines · 0 tokens per session scan A c4bf2f0acc2f
systematic-debugger is a skill published in the GitHub repository bestdeejay-design/agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,397 tokens. 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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