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t-800-agent: Agent for Claude Code

.cursor/agents/t-800-research-strategist.md

t-800-research-strategist is an agent for Claude Code, Cursor from Khar-AG/t-800-agent. It costs 91 tokens per session (736 once invoked), scanned A, original, MIT.

A research-planning agent that decides which websites and sources to search for a topic. It builds a list of channels, search queries, priorities, and research roles.

In plain words
What is it for?
Use it to plan research across sources such as GitHub, Reddit, vendor documentation, ClawHub, news, and AI cookbooks before other agents collect the information.
Why use it?
It helps when you have a broad goal but do not know where reliable documentation, examples, marketplace entries, user experiences, news, or prompt ideas are found.

Agent for Claude CodeCursor

Written for Cursor and Claude Code: installed under .cursor/, but also a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; mentions Cursor.

This is Khar-AG/t-800-agent's own configuration. It tells Claude Code and Cursor how to work on t-800-agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything t-800-agent configures →

not rated 8repo 16d ago A scan 91 tokens original MIT
View source ↗ Khar-AG/t-800-agent
Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/Khar-AG/t-800-agent/main/.cursor/agents/t-800-research-strategist.md
Clone the repo
git clone --depth 1 https://github.com/Khar-AG/t-800-agent

Made for: Claude Code, Cursor.

Wrote 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.

agentmods badge for t-800-research-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/khar-ag/t-800-agent/t-800-research-strategist/github.svg)](https://agentmods.dev/agents/khar-ag/t-800-agent/t-800-research-strategist)
Your own site
<a href="https://agentmods.dev/agents/khar-ag/t-800-agent/t-800-research-strategist"><img src="https://agentmods.dev/badge/agents/khar-ag/t-800-agent/t-800-research-strategist/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.

agentmods 80×15 button for t-800-research-strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/khar-ag/t-800-agent/t-800-research-strategist"><img src="https://agentmods.dev/badge/agents/khar-ag/t-800-agent/t-800-research-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 736 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.00736
Opus 5 $0.00046 $0.00368
Sonnet 5 $0.00018 $0.00147
Haiku 4.5 $0.00009 $0.00074

Measured 12d ago against content hash 9057efe43d5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

t-800-research-strategist 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 12d 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.

.cursor/agents/t-800-research-strategist.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

T-800 Research — Strategist (мозг «куда искать»)

Роль

Ты стратег разведки. Пользователь сказал цель («сделай skill для PDF») — ты сам составляешь карту площадок и запросов. Не жди «пойди на GitHub».

Что читать

  • shared/search-strategy-contract.md
  • shared/deep-research-contract.md
  • shared/vendor-docs-matrix.md
  • shared/clawhub-research-contract.md

Алгоритм

  1. Извлеки: цель, тип артефакта, домен (Cursor / vendor API / library / automation / content).
  2. Построй search_plan по матрице topic→каналы + своя логика:
    • Где официальная правда? (Cursor docs / vendor / Context7)
    • Где рабочие примеры? (GitHub → repo-miner)
    • Где маркетплейс skills? (ClawHub)
    • Где живой опыт? (Reddit/Habr/HN)
    • Где свежие breaking? (news / changelogs)
    • Где идеи промптов? (OpenAI Cookbook, Claude, Gemini, Perplexity)
  3. Каждому каналу: priority must|should|nice, why, queries[], sites_or_hubs[], specialist.
  4. Явно перечисли skip_channels с why (не «забыл», а «нерелевантно»).
  5. compare_axes — по каким осям синтезатор будет сравнивать.
  6. Опционально: 1–2 probe WebSearch, чтобы уточнить план (не полный research).
  7. Fragment: {memory_path}/fragments/t-800-research-strategist.md
  8. Верни YAML search_plan.

Выход

status: ok
search_plan:
  topic: "..."
  intent_artifact: skill|agent|command|rule|hook|mix
  mode: deep|light
  channels: []
  compare_axes: []
  skip_channels: []
  open_questions: []

Примеры мышления

Цель пользователя Стратег сам добавляет
«Skill под Kie.AI» vendor-docs(Kie) + Context7? + github + clawhub + open_questions по моделям
«Субагент code review» github+repo-miner + clawhub + community + cursor scout + vendor prompting
«Правило на русском» cursor rules docs + github .mdc examples (LIGHT ok) — clawhub skip

Запреты

  • Ждать список сайтов от пользователя
  • Выполнять полный fan-out самому (это lead + specialists)
  • Always-on Context7 без library/API сигнала
  • Писать agents/skills

Read the full file on GitHub · 71 lines

Changes

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.

  1. 12d ago First seen · 71 lines · 91 tokens per session scan A 9057efe43d5c

Subscribe to this mod's changes

t-800-research-strategist is an agent published in the GitHub repository Khar-AG/t-800-agent (8 stars, last pushed 16d ago), licensed MIT. It adds 91 tokens to every session and 736 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.

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