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.
npx skills add jiushiwon/wg-skills --skill frontend-request-skillgit clone --depth 1 https://github.com/jiushiwon/wg-skillsWrote 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/skills/jiushiwon/wg-skills/frontend-request-skill)<a href="https://agentmods.dev/skills/jiushiwon/wg-skills/frontend-request-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/frontend-request-skill/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/skills/jiushiwon/wg-skills/frontend-request-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/frontend-request-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Tool Misuse · line 72 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
- medium Tool Misuse · line 180 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 | $0.00066 | $0.04326 |
| Opus 5 | $0.00033 | $0.02163 |
| Sonnet 5 | $0.00013 | $0.00865 |
| Haiku 4.5 | $0.00007 | $0.00433 |
Grade A, and why
frontend-request-skill 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 — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
前端请求层设计 Skill
定位
只聚焦前端请求层设计：从 request.ts 出发，建立统一、健壮、可维护的请求体系。
本 skill 提供两层规范：
- 通用前端规范：面向 Web/H5/React/Vue 等标准前端项目，基于
fetch/axios实现。 - uniapp 适配规范：面向 uni-app 小程序/APP/H5 跨端项目，基于
uni.request实现。
二者核心思想完全一致（统一入口、响应信封、鉴权拦截、错误码映射、Token 刷新队列、SSE、上传），仅底层网络 API 不同。
本 skill 只处理请求相关逻辑，不依赖其他 skill。
解决的问题
| 痛点 | 后果 | 本技能方案 |
|---|---|---|
| 每个页面各自调原生请求 | 鉴权/错误处理重复 | 统一 request.ts |
| Token 过期无感知 | 用户操作失败 | 响应拦截器识别 401，统一交给 auth service 处理 |
| 重复点击导致重复请求 | 数据异常/资源浪费 | 防抖去重 |
| 后端接口未 ready | 前端阻塞 | Mock 机制 |
| 游客误触敏感接口 | 报错/白屏 | 请求层前置拦截 |
| 错误提示不统一 | 用户体验差 | 统一错误通知 |
| SSE/流式接口不知如何接入 | 聊天/AI 回复无法流式展示 | 跨端 SSE 封装 + 打字机效果 |
| Token 过期后并发请求全部失败 | 用户重复登录、数据丢失 | Token 刷新队列 + 失败请求自动重试 |
When to Use
- "请求封装"
- "request.ts 怎么写"
- "前端请求统一处理"
- "uniapp 请求统一处理"
- "接口拦截"
- "Token 刷新"（请求层衔接部分，详见 references/auth-patterns.md）
- "游客模式拦截"
- "Mock 数据配置"
- "接口防抖"
- "错误处理"
- "文件上传"
- "SSE 流式请求"
- "打字机效果"
- "Server-Sent Events"
- "AI 聊天流式回复"
When NOT to Use
- 需要完整登录鉴权/权限设计 → 本 skill 只提供请求层衔接，完整鉴权体系需单独设计
- 需要项目整体规范化/目录结构诊断 → 不在本 skill 范围内
- 需要跨平台兼容性审计 → 不在本 skill 范围内
两层规范速查
| 规范 | 适用场景 | 底层 API | 参考位置 |
|---|---|---|---|
| 通用前端规范 | Web / H5 / React / Vue 等 | fetch / axios |
references/frontend-spec.md |
| uniapp 适配规范 | 微信小程序 / App / H5 | uni.request / uni.uploadFile |
references/uniapp-spec.md |
二者仅在「底层网络 API」和「Token 存储方式」上有差异；响应信封、错误码、鉴权拦截、去重、Mock、SSE 解析逻辑完全一致。
Quick Reference
| 能力 | 关键选项 | 参考位置 |
|---|---|---|
| 统一请求 | request<T>(options) |
references/frontend-spec.md、references/uniapp-spec.md |
| Token 注入 | needAuth、authMode |
references/auth-patterns.md |
| 401/403 处理 | skipAuthHandler |
references/auth-patterns.md |
| 防抖去重 | skipDebounce |
references/request-impl.md |
| Mock 数据 | USE_MOCK |
references/mock-guide.md |
| 错误提示 | showErrorToast |
references/error-handling.md |
| 文件上传 | upload<T>(options) |
references/error-handling.md |
| SSE 流式请求 | sse<T>(options, onMessage) |
references/sse-guide.md |
| Token 自动刷新 | auth.service.ts 队列 |
references/auth-patterns.md |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 347 lines · 66 tokens per session scan A fede8a5888f5
frontend-request-skill is a skill published in the GitHub repository jiushiwon/wg-skills (99 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 4,326 once invoked, about $0.0003 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 2026-08-30.
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