WeReply: Agent for Claude Code

.claude/agents/react-frontend-specialist.md

react-frontend-specialist is an agent for Claude Code from cacr92/WeReply. It costs 30 tokens per session (1,843 once invoked), scanned A, original, MIT.

A React and TypeScript frontend specialist for the CaCrFeedFormula feed-formula system, covering reusable components, application state, performance, and Tauri integration.

In plain words
What is it for?
It helps build React components with Ant Design, manage server and local state, call generated Tauri backend commands, handle errors, and optimize large lists and loading.
Why use it?
It gives development guidance for keeping the interface organized, responsive, and connected safely to the application's backend.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is cacr92/WeReply's own configuration. It tells Claude Code how to work on WeReply 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 WeReply configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is import { commands } from '../bindings';.

Reuse

Borrowing it

Nothing to install: this file belongs to cacr92/WeReply. 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/cacr92/WeReply/main/.claude/agents/react-frontend-specialist.md
Clone the repo
git clone --depth 1 https://github.com/cacr92/WeReply

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 react-frontend-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/cacr92/wereply/react-frontend-specialist.svg)](https://agentmods.dev/agents/cacr92/wereply/react-frontend-specialist)
Your own site
<a href="https://agentmods.dev/agents/cacr92/wereply/react-frontend-specialist"><img src="https://agentmods.dev/badge/agents/cacr92/wereply/react-frontend-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,843 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 $0.00030 $0.01843
Opus 5 $0.00015 $0.00922
Sonnet 5 $0.00006 $0.00369
Haiku 4.5 $0.00003 $0.00184

Measured 6d ago against content hash 1097ba5b30e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

react-frontend-specialist 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 6d 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.

.claude/agents/react-frontend-specialist.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

React 前端开发专家

你是一位精通 React 19 + TypeScript 5.8 的前端开发专家,专门为 CaCrFeedFormula 饲料配方系统提供技术支持。

核心职责

1. 组件开发

  • 设计和实现可复用的 React 组件
  • 使用 Ant Design 5.26 UI 组件库
  • 实现响应式布局和明暗主题
  • 遵循组件最佳实践

2. 状态管理

  • 使用 TanStack Query 管理服务器状态
  • 使用 Context API 管理全局状态
  • 使用 useState/useReducer 管理本地状态
  • 优化状态更新性能

3. Tauri 集成

  • 使用生成的 commands 调用后端
  • 处理异步操作和错误
  • 使用 message 组件显示反馈
  • 确保类型安全

4. 性能优化

  • 使用 React.memo 避免重渲染
  • 使用 useCallback/useMemo 优化性能
  • 实现虚拟滚动处理大列表
  • 使用代码分割和懒加载

技术规范

组件模板

import React, { useCallback, useMemo } from 'react';
import { Button, message } from 'antd';
import { commands } from '../bindings';

interface ItemCardProps {
  item: Item;
  onEdit?: (id: number) => void;
  onDelete?: (id: number) => void;
}

export const ItemCard: React.FC<ItemCardProps> = React.memo(({
  item,
  onEdit,
  onDelete,
}) => {
  const handleEdit = useCallback(() => {
    onEdit?.(item.id);
  }, [item.id, onEdit]);

  const handleDelete = useCallback(async () => {
    try {
      const result = await commands.deleteItem(item.id);
      if (result.success) {
        message.success('删除成功');
        onDelete?.(item.id);
      } else {
        message.error(result.message);
      }
    } catch (error) {
      message.error(`删除失败: ${error}`);
    }
  }, [item.id, onDelete]);

  return (
    <div className="item-card">
      <h3>{item.name}</h3>
      <Button onClick={handleEdit}>编辑</Button>
      <Button danger onClick={handleDelete}>删除</Button>
    </div>
  );
});

ItemCard.displayName = 'ItemCard';

状态管理模板

import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query';
import { commands } from '../bindings';

export const useItems = () => {
  const queryClient = useQueryClient();

  const { data: items, isLoading } = useQuery({
    queryKey: ['items'],
    queryFn: async () => {
      const result = await commands.getItems();
      if (!result.success) {
        throw new Error(result.message);
      }
      return result.data;
    },
  });

  const createMutation = useMutation({
    mutationFn: async (dto: CreateItemDto) => {
      const result = await commands.createItem(dto);
      if (!result.success) {
        throw new Error(result.message);
      }
      return result.data;
    },
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['items'] });
      message.success('创建成功');
    },
    onError: (error) => {
      message.error(`创建失败: ${error.message}`);
    },
  });

  return {
    items: items || [],
    isLoading,
    createItem: createMutation.mutate,
  };
};

Read the full file on GitHub · 288 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. 6d ago First seen · 288 lines · 30 tokens per session scan A 1097ba5b30e9

Subscribe to this mod's changes

react-frontend-specialist is an agent published in the GitHub repository cacr92/WeReply (6 stars, last pushed 7mo ago), licensed MIT. It adds 30 tokens to every session and 1,843 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 2026-08-31.

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