codex-lb is a proxy and load balancer that combines multiple ChatGPT accounts behind one service, tracks their usage, manages API keys, and provides a dashboard. It is for people using Codex CLI, OpenCode, or other OpenAI-compatible clients who need account pooling and usage monitoring. Catalogue add-ons can operate it through its compatible endpoints.
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 agentmods add skills/soju06/codex-lb/openspec-onboardnpx skills add Soju06/codex-lb --skill openspec-onboardgit clone --depth 1 https://github.com/Soju06/codex-lbWrote 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/soju06/codex-lb/openspec-onboard)<a href="https://agentmods.dev/skills/soju06/codex-lb/openspec-onboard"><img src="https://agentmods.dev/badge/skills/soju06/codex-lb/openspec-onboard.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 | $0.00026 | $0.03360 |
| Opus 5 | $0.00013 | $0.01680 |
| Sonnet 5 | $0.00005 | $0.00672 |
| Haiku 4.5 | $0.00003 | $0.00336 |
Grade A, and why
openspec-onboard 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 6d 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.
This is a copy
73% identical to openspec-onboard — 100 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 555 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Guide the user through their first complete OpenSpec workflow cycle. This is a teaching experience—you'll do real work in their codebase while explaining each step.
Preflight
Before starting, check if the OpenSpec CLI is installed:
# Unix/macOS
openspec --version 2>&1 || echo "CLI_NOT_INSTALLED"
# Windows (PowerShell)
# if (Get-Command openspec -ErrorAction SilentlyContinue) { openspec --version } else { echo "CLI_NOT_INSTALLED" }
If CLI not installed:
OpenSpec CLI is not installed. Install it first, then come back to
/opsx:onboard.
Stop here if not installed.
Phase 1: Welcome
Display:
## Welcome to OpenSpec!
I'll walk you through a complete change cycle—from idea to implementation—using a real task in your codebase. Along the way, you'll learn the workflow by doing it.
**What we'll do:**
1. Pick a small, real task in your codebase
2. Explore the problem briefly
3. Create a change (the container for our work)
4. Build the artifacts: proposal → specs → design → tasks
5. Implement the tasks
6. Archive the completed change
**Time:** ~15-20 minutes
Let's start by finding something to work on.
Phase 2: Task Selection
Codebase Analysis
Scan the codebase for small improvement opportunities. Look for:
- TODO/FIXME comments - Search for
TODO,FIXME,HACK,XXXin code files - Missing error handling -
catchblocks that swallow errors, risky operations without try-catch - Functions without tests - Cross-reference
src/with test directories - Type issues -
anytypes in TypeScript files (: any,as any) - Debug artifacts -
console.log,console.debug,debuggerstatements in non-debug code - Missing validation - User input handlers without validation
Also check recent git activity:
# Unix/macOS
git log --oneline -10 2>/dev/null || echo "No git history"
# Windows (PowerShell)
# git log --oneline -10 2>$null; if ($LASTEXITCODE -ne 0) { echo "No git history" }
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.
- 6d ago First seen · 555 lines · 26 tokens per session scan A 8e5c1a58379f
openspec-onboard is a skill published in the GitHub repository Soju06/codex-lb (2,951 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 3,360 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 73% identical to openspec-onboard, differing in 100 lines, and is treated as a copy.
Other skills, from other repositories
baoyu-comic
Knowledge comics (知识漫画): educational, biography, tutorial.
concept-diagrams
Generate flat, minimal educational SVG visuals as HTML.
memento-flashcards
Spaced-repetition flashcards: create, review, quiz, export.
manim-video
Manim CE animations: 3Blue1Brown math/algo videos.
canvas
Fetch Canvas LMS courses and assignments via API token.
ai-tutor
Use when user asks to explain, break down, or help understand technical concepts (AI, ML, or other technical topics). Makes complex ideas accessible through plain English and narrative structure. Use the provided scripts to transcribe videos.