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 skills add akiojin/llmlb --skill llmlb-cli-usagegit clone --depth 1 https://github.com/akiojin/llmlbWrote 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/akiojin/llmlb/llmlb-cli-usage)<a href="https://agentmods.dev/skills/akiojin/llmlb/llmlb-cli-usage"><img src="https://agentmods.dev/badge/skills/akiojin/llmlb/llmlb-cli-usage/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/akiojin/llmlb/llmlb-cli-usage"><img src="https://agentmods.dev/badge/skills/akiojin/llmlb/llmlb-cli-usage.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00024 | $0.00283 |
| Opus 5.5 | $0.00010 | $0.00113 |
| Sonnet 5.5 | $0.00005 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
llmlb-cli-usage 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 9d 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.
Use `llmlb assistant` as the default interface for API inspection and curl execution. What it actually says
llmlb Assistant CLI Usage (Claude Code)
Use llmlb assistant as the default interface for API inspection and curl execution.
Preferred command order
llmlb assistant openapito inspect endpoint schema.llmlb assistant guide --category <...>to load task-specific API notes.llmlb assistant curl --command "curl ..."to execute requests safely.
Examples
llmlb assistant openapi
llmlb assistant guide --category overview
llmlb assistant curl --command "curl http://localhost:32768/v1/models" --json
Auth and environment
LLMLB_URL(default:http://localhost:32768)LLMLB_API_KEYfor/v1/*LLMLB_ADMIN_API_KEYfor/api/*LLMLB_JWT_TOKENfallback for/api/auth/*
Safety notes
- Requests to non-allowed hosts are blocked.
- Shell-injection patterns and dangerous curl options are rejected.
- Use
--no-auto-authonly when you must send custom auth headers.
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.
- 9d ago First seen · 37 lines · 24 tokens per session scan A 70ea938d81ab
llmlb-cli-usage is a skill published in the GitHub repository akiojin/llmlb (10 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 283 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-21.
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