auth-manager

auth-manager is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 35 tokens per session (1,779 once invoked), scanned A, original, MIT.

A login-session manager for websites and services using one shared Chrome browser profile. It checks whether saved logins still work, using command-line requests when possible and browser checks for sites that need a rendered page.

In plain words
What is it for?
Use it to check GitHub and other service logins, share OAuth sessions between agents, and monitor whether saved credentials remain usable.
Why use it?
It reduces repeated logins and avoids different agents having separate, inconsistent browser sessions. It also provides a central place to track session status.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for openclaw.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/aa/.openclaw/chrome-profiles/provider-session.json.

Part of the agi-super-team plugin — 193 skills, 1 agent shipped together

Good fit Use it to check GitHub and other service logins, share OAuth sessions between agents, and monitor whether saved credentials remain usable.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add aAAaqwq/AGI-Super-Team
Claude Code
/plugin install agi-super-team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 193 skills, 1 agent.

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 auth-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/auth-manager/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/auth-manager)
Your own site
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/auth-manager"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/auth-manager/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 auth-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/auth-manager"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/auth-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,779 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00035 $0.01779
Opus 5 $0.00017 $0.00890
Sonnet 5 $0.00007 $0.00356
Haiku 4.5 $0.00003 $0.00178

Measured 3d ago against content hash 1cc404bd3fc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

auth-manager scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**优先级:curl/CLI > 内置 browser**
skills/auth-manager/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auth Manager v4.0 — 平台登录态管理

统一使用 OpenClaw 内置 browser (profile=openclaw),所有平台共享同一个 Chrome profile。 ⚠️ 禁止使用 fbu / fast-browser-use,已废弃。

架构 — 单一 Profile 模型

~/.openclaw/browser/openclaw/user-data/   ← 唯一的 Chrome profile(内置 browser)
~/.openclaw/auth-platforms.json           ← 平台配置
~/.openclaw/auth-session-state.json       ← 检查结果状态

为什么统一?

  • 所有 agent(quant/ops/main 等)共享同一 browser profile
  • 一次登录,全部可用。不存在"这个 agent 没登录"的问题
  • OAuth 链式登录(如Provider-A 依赖 GitHub)自动继承

核心职责

职责 1: 检查登录态(定期 cron)

优先级:curl/CLI > 内置 browser

方法 A: curl/CLI 检查(快速、不占资源)
# GitHub — 最可靠
gh auth status 2>&1

# AIXN — curl API
TOKEN=$(python3 -c "import json; print(json.load(open('/home/aa/.openclaw/chrome-profiles/provider-session.json')).get('token',''))" 2>/dev/null)
curl -s --max-time 10 'https://ai.9w7.cn/api/user/info' -H "Authorization: Bearer $TOKEN"

# Provider-A — curl
COOKIE=$(python3 -c "import json; print(json.load(open('/home/aa/.openclaw/chrome-profiles/your-provider-session.json')).get('cookie',''))" 2>/dev/null)
curl -s --max-time 10 'https://your-provider.example.com/api/user/info' -H "Cookie: $COOKIE"
方法 B: 内置 browser 检查(需要渲染的站点)
# 导航到目标页面
browser(action='navigate', targetUrl='<check_url>', profile='openclaw')

# 等待加载后截取快照
browser(action='snapshot', compact=true, maxChars=2000, profile='openclaw')

适用平台:Polymarket、LinuxDo、X、抖音、小红书

判定逻辑:

  • 快照包含 logged_in_indicators 关键词 → ✅ active
  • 快照包含 login_page_indicators 关键词 → ❌ expired
  • 超时/网络错误 → ⚠️ error(不是 expired!区分清楚)

职责 2: 新平台授权

当需要为新平台登录时:

# 1. 用内置 browser 打开登录页
browser(action='navigate', targetUrl='https://platform.com/login', profile='openclaw')

# 2. 截图给用户确认页面
browser(action='screenshot', profile='openclaw')

# 3. 如果需要用户操作(扫码等),等待用户确认后再 snapshot 验证
browser(action='snapshot', compact=true, profile='openclaw')

登录成功后,cookie/localStorage/IndexedDB 自动保存在 ~/.openclaw/browser/openclaw/user-data/

职责 3: 其他 agent 使用登录态

所有 agent 调用内置 browser 时自动继承登录态:

Read the full file on GitHub · 169 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. 3d ago First seen · 169 lines · 35 tokens per session scan A 1cc404bd3fc1

Subscribe to this mod's changes

auth-manager is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 1,779 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

Related

Other skills, from other repositories

browser-check

Drive a real browser and come back with a MEASUREMENT rather than an impression - console errors and >=400 responses as counts, computed styles as JSON when appearance is disputed. Use when work touches UI, when a review must verify one, or when fidelity-gate asks for its measurement.

jjanczur/tyran · 58 tokens

qa

QA testing skill with real browser automation. Use when asked to "test this site", "QA this page", "check for visual bugs", "verify the deploy", or when Hydra needs browser validation for UI changes. Requires the browse binary.

blueberrycongee/termcanvas · 50 tokens

chrome-devtools

Drive the machine Chrome debug browser via OpenClaw-managed MCP (chrome-devtools). Use for page navigation, snapshots, screenshots, clicks, forms, console/network inspection — not for host shell risk.

yunsii/wezdeck · 44 tokens

mission-control

Interact with Mission Control — AI agent orchestration dashboard. Use when registering agents, managing tasks, syncing skills, or querying agent/task status via MC APIs.

builderz-labs/mission-control · 34 tokens

browser

Browser automation via the agent-browser CLI. Use when the user needs to drive websites or Electron desktop apps — navigating, filling forms, clicking, screenshots, extracting data, testing web apps, visual UI checks, the Pi Dashboard's Electron shell, or the user's own logged-in browser (SSO/2FA sites). Triggers…

BlackBeltTechnology/pi-agent-dashboard · 92 tokens

prompt-tuning

Tune a prompt, or anything whose quality is measured by non-deterministic model output, without chasing noise - a noise baseline before the first edit, medians over repeated runs, enforcement AFTER generation rather than in the wording. Use when iterating on prompts or model-judged output.

jjanczur/tyran · 58 tokens