openai-auth-switcher-public

name

openai-auth-switcher-public

description

Web-first, publishable OpenClaw skill for OpenAI OAuth account switching. Use when you need a reusable public-track workflow for first-run takeover, environment discovery, doctor checks, runtime inspection, slot management, dry-run validation, controlled switch experiments, rollback planning, and release-safe packaging without bundling live auth snapshots, logs, callbacks, or other machine-specific runtime data.

OpenAI Auth Switcher Public

Use this skill as the publishable public-track release of the OpenAI auth switcher workflow.

It is designed for OpenClaw administrators who want a web-first, first-run-friendly, release-safe workflow for OpenAI OAuth account takeover, inspection, dry-run validation, controlled switching, and public distribution.

Purpose

Keep the live/internal operator skill and the public distributable skill separated.

This public track must:

• avoid bundling live runtime state
• avoid bundling auth snapshots, callbacks, backups, or token ledgers from a real machine
• avoid machine-specific hard-coded paths where possible
• document compatibility boundaries explicitly
• provide a release-safe packaging workflow
• keep temporary runtime files inside the skill runtime area, while encouraging important persistent state to live in an external state base via OPENAI_AUTH_SWITCHER_PUBLIC_STATE_DIR

Core operating model

Treat OpenClaw OpenAI OAuth switching as a high-sensitivity maintenance workflow.

Always do work in this order:

1. Use install.sh as the default user-facing bootstrap entrypoint.
2. Run doctor.py when installation or environment checks fail.
3. Confirm runtime discovery with env_detect.py.
4. Inspect the current runtime before any switch logic.
5. Dry-run any target before proposing a write.
6. Keep rollback and backup behavior explicit.
7. Package only from this public skill directory or from a sanitized staging copy.

Included scripts

Primary public-release scripts:

• install.sh — recommended user entrypoint; wraps the web bootstrap into a single shell command
• uninstall.sh — recommended cleanup entrypoint before clawhub uninstall
• scripts/install_web_app.py — one-shot web bootstrap for first-run access
• scripts/pick_port.py — port selection helper (9527 → 12138 → fallback)
• scripts/generate_web_credentials.py — default admin credential generator
• scripts/doctor.py — compatibility and environment checks
• scripts/env_detect.py — OpenClaw path and runtime discovery
• scripts/paths.py — centralized path resolution helpers
• scripts/inspect_runtime.py — portable runtime inspection
• scripts/profile_slot.py — public-safe slot metadata and local slot files
• scripts/rollback_experiment.py — rollback helper using explicit backup sources
• scripts/switch_experiment.py — controlled switch experiment with backup and rollback
• scripts/token_ledger.py — local token attribution ledger rebuild
• scripts/hourly_usage.py — hourly/daily rollup payload for local analytics
• scripts/package_public_skill.py — release-safe packager wrapper

Helper modules:

• scripts/auth_file_lib.py
• scripts/probe_lib.py
• scripts/lock_lib.py
• scripts/state_lib.py

Compatibility and safety references

Read only as needed:

• references/compatibility.md — Python / Node / OpenClaw / OS expectations
• references/runtime-discovery.md — path detection and override model
• references/install-and-runbook.md — operator flow and first-run checks
• references/security-model.md — sensitivity, boundaries, and redaction rules
• references/packaging-policy.md — publish checklist and forbidden contents
• references/migration-notes.md — relation to the internal/live skill

Release rule

Do not publish skills/openai-auth-switcher directly.

Use the public skill directory for ClawHub publication and use a packaging wrapper that rejects runtime data, backups, session callbacks, and credential-bearing files.

Recommended first release positioning:

• version: 0.1.0
• tested on OpenClaw 2026.3.11
• tested on Python 3.11
• tested on Node.js 22.x
• Linux-first release