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 agents/dapi/claude-code-marketplace/spec-classifiergit clone --depth 1 https://github.com/dapi/claude-code-marketplaceWhat 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 | $0.00068 | $0.03666 |
| Opus 5 | $0.00034 | $0.01833 |
| Sonnet 5 | $0.00014 | $0.00733 |
| Haiku 4.5 | $0.00007 | $0.00367 |
Grade A, and why
spec-classifier 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 2d 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 — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec Classifier Agent
Быстрая классификация спецификации + предварительная оценка объёма.
Модель: haiku (для минимизации токенов)
Задача
- Определить какие аспекты присутствуют в спецификации → какие агенты запускать
- Быстро оценить объём → влезает ли в одну сессию
- Вернуть JSON с флагами и оценкой
Критерии определения агентов
| Агент | Запускать если в спеке есть: |
|---|---|
| spec-data | Модели данных, сущности, БД, таблицы, схемы, миграции, связи между данными |
| spec-api | API endpoints, REST/GraphQL, webhooks, интеграции с внешними сервисами, HTTP методы |
| spec-infra | Требования к deployment, безопасности, производительности, мониторингу, масштабированию |
| spec-risk | Критичная фича, внешние зависимости, миграции, новые технологии, жёсткие сроки |
| spec-ux | UI компоненты, экраны, страницы, формы, user flows, мобильное/web приложение |
| spec-ai-readiness | AI/LLM агенты, автономные системы, боты, автоматизация с принятием решений, Claude/GPT |
Всегда запускаются (не требуют классификации):
- spec-analyst — бизнес-логика есть в любой спеке
- spec-test — тестируемость универсально полезна
Опционально (только если нужен детальный breakdown):
- spec-scoper — запускается отдельно если quick_scope = "too_large" или "borderline"
Критерии оценки объёма (quick scope)
Лимиты контекстного окна
context_budget:
total_window: 150000 # Рабочее окно (200k тупит)
available_for_work: 90000 # После вычета system/history/output
max_part_tokens: 45000 # Максимум на одну сессию
Быстрая формула оценки
estimated_tokens ≈ models*3000 + endpoints*2000 + components*4000 + integrations*8000
Пороги verdict
| estimated_tokens | verdict | Элементы (ориентир) |
|---|---|---|
| < 30000 | fits | ≤3 модели, ≤5 endpoints, ≤2 компонента |
| 30000-45000 | borderline | 4-5 моделей, 6-10 endpoints |
| > 45000 | too_large | 6+ моделей, 10+ endpoints, интеграции |
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.
- 2d ago First seen · 376 lines · 68 tokens per session scan A 67a86e80e2ac
spec-classifier is an agent published in the GitHub repository dapi/claude-code-marketplace (16 stars, last pushed 4mo ago), licensed MIT. It adds 68 tokens to every session and 3,666 once invoked, about $0.0003 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.
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