Plano is a proxy server and data plane that handles shared infrastructure for applications built with AI agents, including agent routing, orchestration, model selection, traces, metrics, and guardrails. Developers use it to connect agents and language models to production applications without embedding this middleware in each application. The catalogue entries provide skills and instructions for operating or developing with Plano.
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 katanemo/plano --skill plano-agent-orchestrationgit clone --depth 1 https://github.com/katanemo/planoWrote 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/katanemo/plano/plano-agent-orchestration)<a href="https://agentmods.dev/skills/katanemo/plano/plano-agent-orchestration"><img src="https://agentmods.dev/badge/skills/katanemo/plano/plano-agent-orchestration.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00209 |
| Opus 5 | $0.00016 | $0.00105 |
| Sonnet 5 | $0.00007 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
plano-agent-orchestration 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 8d 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
Plano Agent Orchestration
Use this skill for agent listener quality, sub-agent registration, and route accuracy.
When To Use
- "Fix multi-agent routing"
- "Validate agents vs listeners.agents config"
- "Improve agent descriptions"
- "Set up a reliable orchestrator"
Apply These Rules
agent-orchestrationagent-descriptions
Execution Checklist
- Verify each agent exists in both
agentsandlisteners[].agents. - Ensure one fallback/default agent where appropriate.
- Rewrite descriptions to be capability-focused and non-overlapping.
- Keep descriptions specific, concise, and example-driven.
- Provide test prompts to validate routing outcomes.
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.
- 8d ago First seen · 33 lines · 33 tokens per session scan A 3a2cef0efca5
plano-agent-orchestration is a skill published in the GitHub repository katanemo/plano (7,042 stars, last pushed 19d ago), licensed Apache-2.0. It adds 33 tokens to every session and 209 once invoked, about $0.0002 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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