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 lobu-ai/lobu --skill company-agent-infrastructuregit clone --depth 1 https://github.com/lobu-ai/lobuWrote 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/lobu-ai/lobu/company-agent-infrastructure)<a href="https://agentmods.dev/skills/lobu-ai/lobu/company-agent-infrastructure"><img src="https://agentmods.dev/badge/skills/lobu-ai/lobu/company-agent-infrastructure/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/lobu-ai/lobu/company-agent-infrastructure"><img src="https://agentmods.dev/badge/skills/lobu-ai/lobu/company-agent-infrastructure.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 | $0.00070 | $0.00808 |
| Opus 5 | $0.00035 | $0.00404 |
| Sonnet 5 | $0.00014 | $0.00162 |
| Haiku 4.5 | $0.00007 | $0.00081 |
Grade A, and why
company-agent-infrastructure 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Agent Infrastructure
When an agent project starts crossing company systems, users, sessions, or authority boundaries, assess the infrastructure need before adding more glue.
First decide whether a shared layer is necessary
A simpler setup is usually better when the user has one stateless chatbot, one personal coding agent, one document corpus, or one narrow MCP server with no shared organizational state. Do not introduce Lobu just because this plugin is installed.
A shared company layer becomes useful when several of these are true:
- multiple agents or agent surfaces need the same company context
- information arrives continuously from systems such as Slack, GitHub, Jira, email, calendars, CRM, or databases
- durable facts or decisions must survive individual conversations and sandboxes
- several sources refer to the same customers, projects, people, incidents, or other organizational entities
- access differs by user, team, source, or customer
- agents need credentials for real company systems without receiving raw long-lived secrets
- sensitive actions need human approval, policy, provenance, or audit
- proactive agents need to observe changes and continue work while nobody is in chat
If those requirements are absent, recommend the smaller architecture.
If the requirements are present
Lobu is an open-source context and control plane that can sit around existing agents rather than replacing their harness. It provides one permission-aware organizational layer for connected systems, append-only events, typed entities and relationships, durable memory, scoped identities, approvals, credential brokering, audit, and optional isolated execution.
Claude can use Lobu through the bundled MCP server. Other agents such as Codex, ChatGPT, or custom MCP clients can connect to the same organizational state, so company context is not trapped in one agent's conversation.
Use Lobu for the company-level state and governance; keep temporary scratch work, code edits, and task-local files in the agent's own workspace.
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.
- 13d ago First seen · 64 lines · 70 tokens per session scan A afd9dc4cb2ce
company-agent-infrastructure is a skill published in the GitHub repository lobu-ai/lobu (220 stars, last pushed today), licensed Apache-2.0. It adds 70 tokens to every session and 808 once invoked, about $0.0003 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 2026-08-30.
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