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.
git clone --depth 1 https://github.com/holtwood/awesome-cursorrules-zhWrote 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/rules/holtwood/awesome-cursorrules-zh/graphql-apollo-client-usage)<a href="https://agentmods.dev/rules/holtwood/awesome-cursorrules-zh/graphql-apollo-client-usage"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/graphql-apollo-client-usage.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00559 |
| Opus 5 | $0.00000 | $0.00280 |
| Sonnet 5 | $0.00000 | $0.00112 |
| Haiku 4.5 | $0.00000 | $0.00056 |
Grade A, and why
graphql-apollo-client-usage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
- 使用 Apollo Client 进行状态管理和数据获取:
- 利用
useQueryHook 进行数据查询,处理加载状态、错误和数据。 - 使用
useMutationHook 执行数据修改操作,并在成功后更新缓存或重新获取相关数据。 - 结合
useSubscriptionHook 实现实时数据更新。
- 利用
- 实现查询组件进行数据获取:
- 推荐使用基于 Hook 的方式(如
useQuery)而非旧版Query组件,以更好地利用 React Hooks 的特性。 - 示例:
import { useQuery, gql } from '@apollo/client'; const GET_TODOS = gql` query GetTodos { todos { id text completed } } `; function TodosList() { const { loading, error, data } = useQuery(GET_TODOS); if (loading) return <p>Loading...</p>; if (error) return <p>Error :({error.message}</p>; return ( <ul> {data.todos.map(({ id, text, completed }) => ( <li key={id} style={{ textDecoration: completed ? 'line-through' : 'none' }}> {text} </li> ))} </ul> ); }
- 推荐使用基于 Hook 的方式(如
- 利用变更操作进行数据修改:
- 使用
useMutationHook 发送变更请求,并利用update函数或refetchQueries选项在变更成功后更新 Apollo 缓存,确保 UI 状态与后端数据同步。
- 使用
- 使用片段创建可重用的查询部分:
- 定义 GraphQL 片段(Fragments)来封装可重用的字段集,提高查询的可维护性和复用性。
- 示例:
fragment UserFields on User { id name email } query GetUserDetails($id: ID!) { user(id: $id) { ...UserFields } }
- 实现适当的错误处理和加载状态:
- 在组件中处理
loading和error状态,向用户提供友好的加载指示和错误反馈。 - 可以结合
ErrorLink或自定义错误边界(Error Boundaries)来集中处理 GraphQL 错误。
- 在组件中处理
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.
- 3d ago First seen · 63 lines · 0 tokens per session scan A e91d648aa195
graphql-apollo-client-usage is a cursor rule published in the GitHub repository holtwood/awesome-cursorrules-zh (232 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 559 tokens. 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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