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 spumer/i-m-senior-developer --skill ai-prose-detectorgit clone --depth 1 https://github.com/spumer/i-m-senior-developerWrote 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/spumer/i-m-senior-developer/ai-prose-detector)<a href="https://agentmods.dev/skills/spumer/i-m-senior-developer/ai-prose-detector"><img src="https://agentmods.dev/badge/skills/spumer/i-m-senior-developer/ai-prose-detector.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00146 | $0.01332 |
| Opus 5 | $0.00073 | $0.00666 |
| Sonnet 5 | $0.00029 | $0.00266 |
| Haiku 4.5 | $0.00015 | $0.00133 |
Grade A, and why
ai-prose-detector 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 8d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Prose Detector
Инструмент для редактирования художественной прозы с фокусом на выявление паттернов AI-генерации.
Философия
Цель — не механически искать "запрещённые слова", а понимать ПРИНЦИПЫ, по которым AI создаёт синтетический текст, и выявлять их проявления.
Каждый приём МОЖЕТ быть оправдан контекстом. Задача — найти места, где приём НЕ РАБОТАЕТ на текст.
Шесть методов анализа
| # | Метод | Суть | Файл |
|---|---|---|---|
| 1 | Дистанция | Рассказ О восприятии вместо прямого опыта | references/method-1-distance.md |
| 2 | Имитация глубины | Готовые метафоры вместо конкретики | references/method-2-metaphors.md |
| 3 | Галлюцинации деталей | "Красивые" детали против физики/логики | references/method-3-hallucinations.md |
| 4 | Переобъяснение | Дублирование показанного словами | references/method-4-overexplanation.md |
| 5 | Механистичность | Нереалистичные переходы между состояниями | references/method-5-physiology.md |
| 6 | Монотонность | Отсутствие ритмических контрастов | references/method-6-structure.md |
Порядок работы
1. Определи контекст
Перед анализом уточни:
- POV: Первое лицо? Третье ограниченное? Всеведущее?
- Жанр: Триллер, киберпанк, лирическая проза?
- Сцена: Экшн, диалог, рефлексия?
Это влияет на допустимость приёмов.
2. Прочитай текст целиком
Не начинай анализ по частям. Сначала — общее впечатление:
- Где текст "застревает"?
- Где кажется механическим?
- Где читатель выпадает?
3. Пройди по методам
Для каждого метода загрузи соответствующий файл из references/
и примени тесты к подозрительным местам.
4. Используй формат диагноза
Для каждой найденной проблемы:
- НАЙДЕНО: [цитата]
- ТИП: [категория из метода]
- ТЕСТЫ: [результаты применимых тестов]
- ВЕРДИКТ: Проблема / Допустимо / Спорно
- НАПРАВЛЕНИЕ: [принцип исправления, не готовое решение]
5. Составь итоговый отчёт
### КРИТИЧЕСКИЕ ПРОБЛЕМЫ
[Требуют обязательного исправления — структурные, повторяющиеся]
### РЕКОМЕНДАЦИИ
[Можно улучшить — локальные, не критичные]
### СИЛЬНЫЕ МЕСТА
[Где автор избежал AI-штампов — для понимания его сильных сторон]
### ОБЩАЯ ОЦЕНКА
[2-3 принципа, требующие наибольшего внимания]
What ships with it
6 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.
- 8d ago First seen · 126 lines · 146 tokens per session scan A efc2eaa87d27
ai-prose-detector is a skill published in the GitHub repository spumer/i-m-senior-developer (11 stars, last pushed 6d ago), licensed MIT. It adds 146 tokens to every session and 1,332 once invoked, about $0.0007 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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