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.
Borrowing it
Nothing to install: this file belongs to Soju06/codex-lb. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Soju06/codex-lb/main/.agents/skills/project-conventions/SKILL.mdgit 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/project-conventions)<a href="https://agentmods.dev/skills/soju06/codex-lb/project-conventions"><img src="https://agentmods.dev/badge/skills/soju06/codex-lb/project-conventions/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/soju06/codex-lb/project-conventions"><img src="https://agentmods.dev/badge/skills/soju06/codex-lb/project-conventions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00181 |
| Opus 5.5 | $0.00011 | $0.00072 |
| Sonnet 5.5 | $0.00005 | $0.00036 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
project-conventions 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.
What it actually says
Project Conventions
Project conventions that must be reviewed before editing code.
When to Activate
- Before editing
app/code (auto-activated via PreToolUse guard) - When implementing a new module or feature
- When refactoring or changing structure
How to Use
- Read
conventions.mdto review the current project coding rules. - Write/edit code in accordance with the rules.
Action
Read the conventions file in this skill directory:
Read: .agents/skills/project-conventions/conventions.md
Proceed with code edits after reviewing the conventions.
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.
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.
- 1mo ago First seen · 35 lines · 27 tokens per session scan A 9a87d089f866
project-conventions is a skill published in the GitHub repository Soju06/codex-lb (3,382 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 181 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 2026-08-30.
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