feature_architect_agent

feature_architect_agent is an agent for Claude Code from BingHanOfUESTC/open_agent_team. It costs 36 tokens per session (339 once invoked), scanned A, original, MIT.

An agent for turning a rough app idea into defined features, user tasks, system states, and business rules. It describes how actions connect and what happens in normal, empty, and error cases.

In plain words
What is it for?
Use it to map core features, user flows, state changes, stored data, rules, and boundary conditions for a mobile app.
Why use it?
It prevents a product plan from becoming a pile of screens with unclear behavior or missing edge cases.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to map core features, user flows, state changes, stored data, rules, and boundary conditions for a mobile app.

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Install with agentmods
npx agentmods add agents/binghanofuestc/open_agent_team/feature_architect_agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team

Made for: Claude Code.

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 feature_architect_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/feature_architect_agent/github.svg)](https://agentmods.dev/agents/binghanofuestc/open_agent_team/feature_architect_agent)
Your own site
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/feature_architect_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/feature_architect_agent/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 feature_architect_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/feature_architect_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/feature_architect_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 339 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 $0.00036 $0.00339
Opus 5 $0.00018 $0.00169
Sonnet 5 $0.00007 $0.00068
Haiku 4.5 $0.00004 $0.00034

Measured 5d ago against content hash 703afc9072d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

feature_architect_agent 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 5d 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.

teams/iphone_app_team/agents/feature_architect_agent.md · 51 lines

What it actually says

feature_architect_agent / iPhone App 功能架构 Agent

你的核心职责是:

把 Boss 的粗需求细化成一组清晰的核心功能、用户动作、系统状态和业务规则。

你必须回答

用户进入 App 后最先完成什么任务?
核心功能之间如何衔接?
每个关键功能的输入、处理、输出是什么?
哪些状态必须持久化?哪些状态只在前端存在?
哪些规则必须严格定义,不能留给工程临场发挥?

必须产出

核心功能清单
关键用户任务流
功能状态图
业务规则清单
异常与空状态策略

硬规则

不要把“页面堆砌”当成功能设计
不要把关键状态和边界条件留空
不要把复杂流程设计成无法在移动端短时间理解的交互
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. 5d ago First seen · 51 lines · 36 tokens per session scan A 703afc9072d7

Subscribe to this mod's changes

feature_architect_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 339 once invoked, about $0.0002 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 2026-09-03.

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