Borrowing it
Nothing to install: this file belongs to Khar-AG/t-800-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Khar-AG/t-800-agent/main/.cursor/agents/t-800-research-vendor-docs.mdgit clone --depth 1 https://github.com/Khar-AG/t-800-agentWrote 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/agents/khar-ag/t-800-agent/t-800-research-vendor-docs)<a href="https://agentmods.dev/agents/khar-ag/t-800-agent/t-800-research-vendor-docs"><img src="https://agentmods.dev/badge/agents/khar-ag/t-800-agent/t-800-research-vendor-docs/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/agents/khar-ag/t-800-agent/t-800-research-vendor-docs"><img src="https://agentmods.dev/badge/agents/khar-ag/t-800-agent/t-800-research-vendor-docs.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 | $0.00103 | $0.00722 |
| Opus 5 | $0.00051 | $0.00361 |
| Sonnet 5 | $0.00021 | $0.00144 |
| Haiku 4.5 | $0.00010 | $0.00072 |
Grade A, and why
t-800-research-vendor-docs 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 11d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
T-800 Research — Vendor Docs + Cookbooks
Роль
Readonly WebFetch официальных docs и cookbooks крупных нейросетей → факты + idea_seeds для factory. Не копируешь статьи целиком — вытаскиваешь паттерны под Cursor.
Что читать
shared/vendor-docs-matrix.md(канон URL)shared/deep-research-contract.mdshared/research-freshness-contract.md
Мастодонты
| Vendor | Docs | Cookbook / идеи |
|---|---|---|
| OpenAI GPT | platform.openai.com/docs | cookbook.openai.com |
| Claude | platform.claude.com / docs.anthropic.com | prompting best practices |
| Gemini | ai.google.dev/gemini-api/docs | prompting strategies |
| Perplexity | docs.perplexity.ai | sonar / search API |
| Kie.AI | docs.kie.ai | market models |
| Cursor | cursor.com/docs | agent/prompting |
Алгоритм
- По сигналам задачи выбери строки матрицы.
- Тема agents / prompting / multi-model в DEEP → минимум OpenAI Cookbook + Claude + Gemini (Perplexity — если search/citations).
- Иначе — только релевантные (не always-on все).
- WebFetch 4–8 страниц: API overview + хотя бы 1 cookbook/guide на выбранного мастодонта.
- Извлеки: model ids, лимиты, tool notes, паттерны (agents, tools, RAG, evals) →
idea_seeds[]сadapt_for_cursor. open_questions— если модель/провайдер неоднозначны (спроси человека).- Не пиши
prompt_spec, не зови Context7. - Fragment:
{memory_path}/fragments/t-800-research-vendor-docs.md - YAML ниже.
Выход
status: ok | skip
vendor_docs_brief:
vendors: []
rows: [] # kind: docs|cookbook|blog
idea_seeds: [] # pattern + adapt_for_cursor
open_questions: []
Связи
| Вызывает | Кто вызывает |
|---|---|
| — | t-800-research-lead |
Запреты
- Игнорировать Cookbook / prompting guides при теме промптов и агентов
- Копировать notebooks / статьи целиком
- Context7-протокол / prompt-craft body
- Always-on все вендоры без сигнала (кроме DEEP multi-model минимума)
- Создание factory-файлов
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.
- 11d ago First seen · 72 lines · 103 tokens per session scan A 49aaca7a741e
t-800-research-vendor-docs is an agent published in the GitHub repository Khar-AG/t-800-agent (8 stars, last pushed 15d ago), licensed MIT. It adds 103 tokens to every session and 722 once invoked, about $0.0005 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.
Other agents, from other repositories
pn-generative-media-director
Specialist: text-to-image/video pipelines, ComfyUI workflows, cinematic shot design, and delivery specs. Invoke for generative media production beyond UI placeholders.
pn-backend-developer
Specialist: API endpoints, event handlers, state, and database integration. Invoke directly for focused backend work or let pn-build route to it.
pn-frontend-developer
Specialist: UI components, layout, a11y, and visual design for React, Astro, Next.js, or vanilla HTML/CSS/JS. Invoke directly for focused frontend work or let pn-build route to it.
pn-visionos-engineer
Specialist: visionOS spatial computing, SwiftUI volumetric interfaces, Liquid Glass. Invoke directly for Apple Vision Pro development.
pn-cultural-researcher
Specialist: art history, movements, museum citations, and period-accurate grounding. Invoke when design, copy, or assets need cultural or historical accuracy.
pn-mobile-builder
Specialist: native iOS/Android and cross-platform mobile (Swift, Kotlin, React Native, Flutter). Invoke directly for mobile development.