login_auto

login_auto is a skill for Claude Code, Codex from weiyi88/cc-code. It costs 20 tokens per session (7,642 once invoked), scanned A, original, MIT.

A guide for adding email and Google or GitHub sign-in to a Next.js project using Supabase Auth, with Resend delivering authentication emails.

In plain words
What is it for?
Use it to review or plan password login, OAuth sign-in, email-code registration, and password changes, including the required dashboard and environment settings.
Why use it?
It compares the project’s existing login setup with a defined standard, making missing configuration and flow differences easier to find.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the cc-code plugin — 17 skills, 3 agents, 1 hook shipped together

Good fit Use it to review or plan password login, OAuth sign-in, email-code registration, and password changes, including the required dashboard and environment settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/weiyi88/cc-code/login_auto
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.

Any agent
npx skills add weiyi88/cc-code --skill login_auto
Clone the repo
git clone --depth 1 https://github.com/weiyi88/cc-code

Made for: Claude Code, Codex.

Or install cc-code, the plugin that ships this one along with the rest of its 17 skills, 3 agents, 1 hook.

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 login_auto

README.md
[![agentmods](https://agentmods.dev/badge/skills/weiyi88/cc-code/login_auto/github.svg)](https://agentmods.dev/skills/weiyi88/cc-code/login_auto)
Your own site
<a href="https://agentmods.dev/skills/weiyi88/cc-code/login_auto"><img src="https://agentmods.dev/badge/skills/weiyi88/cc-code/login_auto/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 login_auto

Your own site · 80×15
<a href="https://agentmods.dev/skills/weiyi88/cc-code/login_auto"><img src="https://agentmods.dev/badge/skills/weiyi88/cc-code/login_auto.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,642 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high Privilege Escalation · line 63
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
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 $0.00020 $0.07642
Opus 5.5 $0.00008 $0.03057
Sonnet 5.5 $0.00004 $0.01528
Haiku 4.5 $0.00002 $0.00764

Measured 1mo ago against content hash 4c84df15bb8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

login_auto 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 1mo 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.

skills/login_auto/SKILL.md · 787 lines

How it starts

The opening of the file, as written. The whole thing — 787 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Supabase Auth 通用登录系统实现指南

本 skill 是与项目无关的通用登录逻辑指南,适用于任意 Next.js + Supabase 项目。不绑定特定 i18n 框架、不绑定特定语言组合、不绑定特定 UI 库。三大场景全覆盖:

  • 登录:邮箱密码 + OAuth (Google/GitHub)
  • 注册:邮箱 + 验证码 + 密码 + 确认密码
  • 修改密码(忘记密码/未登录):邮箱 + 验证码 + 新密码

邮件通道:验证码邮件由 Supabase Auth 触发,经 Supabase 自定义 SMTP 接入 Resend 投递(不在代码里调 Resend API,不自造验证码存储)。


Skill 启动流程(显式触发时按此走)

Step 1  整理项目当前登录逻辑
        读项目 auth 相关代码(auth-modal/回调路由/profile/middleware)
        → 画「项目现状登录逻辑」ASCII 图
Step 2  对比 skill 标准逻辑 vs 项目现状
        逐链路差异表: ✅一致 / ⚠️偏离 / ❌缺失
        (标准逻辑见下方「三大场景」与 Phase 1-3)
Step 3  环境盘点 + 询问 key
        检查: 依赖 / Supabase(URL+anon key, service_role可选)
              / Resend(API Key+发件域名) / OAuth(Client ID+Secret)
              / Dashboard(Confirm email关闭? SMTP配Resend? Redirect URLs? Providers?)
        缺什么列清单 → 询问主人提供
Step 4  整理改动清单
        输出表: 文件 | 现状 | 目标 | 动作
Step 5  调用 /cc-code:cc-code 执行
        按角色串行 PM→Architect→Dev→QA 落地
        (本 skill 只整理方案, 执行交 cc-code 工作流)

本 skill 主体是「标准逻辑 + 实现指南」,供 Step 2 对比、Step 4 改动参考。Step 5 不在本 skill 内写代码,交由 /cc-code:cc-code。


实现指南流程

Phase 0 → Phase 1 → Phase 2 → Phase 3 → Phase 4
环境检查   后端实现   前端UI    回调路由   构建验证

Phase 0: 环境检查

0.1 检查已有 Supabase 配置

扫描:
├── package.json → @supabase/supabase-js 存在?
├── package.json → @supabase/ssr 存在?
├── lib/supabase/client.ts 存在?
├── lib/supabase/server.ts 存在?
├── middleware.ts (或 Next.js 16 的 proxy.ts) → 包含 supabase session 刷新?
├── .env.local → NEXT_PUBLIC_SUPABASE_URL + ANON_KEY 存在?
└── app/auth/callback/route.ts 存在?

若项目使用 i18n,额外检查其 Auth 命名空间是否已含本 skill 所需的错误消息 key(见文末「错误消息键名清单」)。i18n 框架与语言组合由项目自定,本 skill 不强制。

0.2 若缺失,先安装依赖

pnpm add @supabase/supabase-js @supabase/ssr

0.3 若缺失,先创建基础设施文件

按下面的模板创建缺失文件,已有的跳过。


Phase 1: 后端实现

1.1 环境变量

.env.example 追加:

# Supabase Auth
NEXT_PUBLIC_SUPABASE_URL=
NEXT_PUBLIC_SUPABASE_ANON_KEY=

.env.local 填入实际值。

1.2 Supabase 客户端

lib/supabase/client.ts (浏览器端):

import { createBrowserClient } from '@supabase/ssr'

export function createClient() {
  return createBrowserClient(
    process.env.NEXT_PUBLIC_SUPABASE_URL!,
    process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
  )
}

Read the full file on GitHub · 787 lines

Files

What ships with it

1 file 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.

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. 1mo ago Changed · -62 tokens per session 4c84df15bb8e
  2. 1mo ago First seen · 787 lines · 82 tokens per session scan A 868054985a5d

Subscribe to this mod's changes

login_auto is a skill published in the GitHub repository weiyi88/cc-code (5 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 7,642 once invoked, about $0.0001 per session on Opus 5.5. 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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