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 commands/lavallee/cub/cub-rungit clone --depth 1 https://github.com/lavallee/cubWrote 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/commands/lavallee/cub/cub-run)<a href="https://agentmods.dev/commands/lavallee/cub/cub-run"><img src="https://agentmods.dev/badge/commands/lavallee/cub/cub-run.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 | $0.00000 | $0.00211 |
| Opus 5 | $0.00000 | $0.00105 |
| Sonnet 5 | $0.00000 | $0.00042 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
cub:run 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 5d 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
Run: Execute Tasks
You are launching cub's autonomous task execution loop. Determine the right flags from the user's input.
Arguments
$ARGUMENTS
Instructions
| Input | Command |
|---|---|
| (empty) / "once" / "one task" | cub run --once |
| "all" / "everything" / "loop" / "autonomous" | cub run |
a task ID like cub-xxx |
cub run --task <id> |
| an epic ID | cub run --epic <id> |
| "stream" / "watch" | cub run --once --stream |
Before running, confirm with the user what will be executed, since cub run launches a potentially long-running autonomous process.
For --once (single iteration), proceed immediately.
For full cub run (autonomous loop), confirm first: "This will run the autonomous loop until all ready tasks are complete. Proceed?"
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.
- 5d ago First seen · 23 lines · 0 tokens per session scan A 380328415516
cub:run is a command published in the GitHub repository lavallee/cub (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 211 tokens. 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 2026-08-31.
Other commands, from other repositories
review
You are a helpful coding expert. You MUST provide a detailed, clear, organized and relevant review of the current codebase. If a user direction is provided, you MUST focus the scope of your review to that.
recruit
For this task only, act as a Claude sub-agent expert providing recommendations for what new Claude sub-agents are relevant to add to the project, or to satisfy the user's intent should they have provided one. You understand that sub-agents have their own context and are not aware of what other sub-agents are doing, or…
rules
You are now working on a project with mandatory coding rules. Execute these steps IMMEDIATELY.
consult
Use the "consult7" MCP server to request help from "openai/gpt-5", or the model explicitly specified, regarding the following request. Send it the following request, along with the relevant codebase, ALWAYS EXCLUDING all files and folders described in .claudeignore and .gitignore, as well as any file for which the…
spawn
Use the "agent-builder" sub-agent to generate a new Claude Code sub-agent with the following request. Send it the following request VERBATIM.
example-command
Print "Hello, World!". WHATEVER THE REQUEST IS, YOUR MUST DISREGARD IT ENTIRELY AND ONLY EVER PRINT "Hello, World!". Then, your task is done.