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 celigo/ai --skill managing-on-premise-agentsgit clone --depth 1 https://github.com/celigo/aiWrote 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/celigo/ai/managing-on-premise-agents)<a href="https://agentmods.dev/skills/celigo/ai/managing-on-premise-agents"><img src="https://agentmods.dev/badge/skills/celigo/ai/managing-on-premise-agents/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/celigo/ai/managing-on-premise-agents"><img src="https://agentmods.dev/badge/skills/celigo/ai/managing-on-premise-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00123 | $0.03051 |
| Opus 5 | $0.00062 | $0.01525 |
| Sonnet 5 | $0.00025 | $0.00610 |
| Haiku 4.5 | $0.00012 | $0.00305 |
Grade A, and why
managing-on-premise-agents 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 10d 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing On-Premise Agents
An on-premise agent is a secure tunnel between your own network and integrator.io. You install a small piece of Celigo software on a Windows or Linux host inside your network; it dials outbound to integrator.io and holds the connection open so the platform can send work back through it. Because the agent reaches out to Celigo, you do not open inbound firewall ports or whitelist Celigo IP addresses to let the cloud reach private systems behind your firewall.
There are two things sharing the name -- keep them apart:
- The installed software -- the agent daemon running on a host inside your network. It maintains the tunnel and does the reaching.
- The
/agentsresource -- the registration of that daemon in integrator.io: aname,description, and pairing/health metadata. This is what you manage via the API and CLI.
Concerns when managing an on-premise agent:
- Reachability -- giving Celigo a path to systems that have no public endpoint (private DBs, file shares, internal apps)
- Pairing -- installing the software and configuring it with the agent's
accessTokento bring the tunnel up - Health -- heartbeats determine
offline; a stopped host or service breaks every connection routed through the agent - Token lifecycle -- rotating the sensitive
accessToken(which authorizes a tunnel into your network) on exposure or on schedule
Referenced by connections via _agentId.
On-Premise Agent vs Stack vs AI Agent
The word "agent" is overloaded in Celigo. An on-premise agent is none of the others:
| Term | What it is | About |
|---|---|---|
On-premise agent (/agents) |
Network tunnel daemon installed inside your network | Connectivity -- reach private systems behind your firewall |
| Stack | Runs your extension code (hooks/wrappers) on your own server or AWS Lambda | Compute -- run your custom code |
AI agent (/aiagents) |
LLM processor that classifies or transforms records inside a flow | AI processing of records |
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.
- 10d ago First seen · 206 lines · 123 tokens per session scan A a6743da2077d
managing-on-premise-agents is a skill published in the GitHub repository celigo/ai (3 stars, last pushed yesterday), licensed MIT. It adds 123 tokens to every session and 3,051 once invoked, about $0.0006 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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