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 agents/jazzmind/busibox/01-overviewgit clone --depth 1 https://github.com/jazzmind/busiboxWrote 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/agents/jazzmind/busibox/01-overview)<a href="https://agentmods.dev/agents/jazzmind/busibox/01-overview"><img src="https://agentmods.dev/badge/agents/jazzmind/busibox/01-overview.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 | $0.00012 | $0.00307 |
| Opus 5 | $0.00006 | $0.00153 |
| Sonnet 5 | $0.00002 | $0.00061 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
01-overview 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 3d 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
Agent Service Overview
The Agent API (srv/agent) provides AI agent execution, tool orchestration, workflow management, and intelligent query routing. It runs on agent-lxc (port 8000) and integrates with Search API for RAG, LiteLLM for synthesis, and Data API for attachments.
Key Capabilities
- Chat orchestration — RAG, web search, and attachment agents with streaming SSE responses
- Agent definitions — Built-in and custom agents with configurable models and tools
- Workflows — Multi-step processes with conditional logic
- Tools — Document search, web search, and custom tools
Documentation
| Doc | Content |
|---|---|
| 02-architecture | System design, components, Pydantic AI integration |
| 03-api | REST API reference, endpoints, authentication |
| 04-testing | How to run and debug agent tests |
Quick Reference
- Base URL:
http://agent-lxc:8000 - Auth: JWT Bearer (audience
agent-api) - Key paths:
/chat/message,/agents,/conversations,/runs,/agents/workflows
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.
- 3d ago First seen · 33 lines · 12 tokens per session scan A 8ed15b48d93f
01-overview is an agent published in the GitHub repository jazzmind/busibox (7 stars, last pushed 5d ago), licensed MIT. It adds 12 tokens to every session and 307 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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