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-skillsgit 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-skills)<a href="https://agentmods.dev/skills/katanemo/plano/plano-agent-skills"><img src="https://agentmods.dev/badge/skills/katanemo/plano/plano-agent-skills/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/katanemo/plano/plano-agent-skills"><img src="https://agentmods.dev/badge/skills/katanemo/plano/plano-agent-skills.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 | $0.00035 | $0.00481 |
| Opus 5 | $0.00017 | $0.00241 |
| Sonnet 5 | $0.00007 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
plano-agent-skills 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.
What it actually says
Plano Agent Skills
Comprehensive Plano guidance for coding agents. Use this umbrella skill when a task spans multiple areas (config, routing, orchestration, filters, observability, CLI, deployment).
When To Use
- Validating or fixing Plano
config.yaml - Designing listener architecture (
model,prompt,agent) - Improving model/provider routing quality and fallback behavior
- Hardening filter chains and prompt guardrails
- Debugging routing with traces and CLI workflows
- Preparing deployment and production readiness checks
How To Use
- Classify the request by scope (single section vs. cross-cutting).
- For focused work, prefer a section-specific skill (for example
plano-routing-model-selection). - For broad work, apply this umbrella skill and reference section rules from
skills/AGENTS.md. - Produce concrete edits first, then concise reasoning and validation steps.
Operating Workflow
- Identify the task area first: config, routing, orchestration, filters, observability, CLI, or deployment.
- Apply the smallest correct change that satisfies the requested behavior.
- Preserve security and reliability defaults:
version: v0.3.0- exactly one
default: truemodel provider - secrets via
$ENV_VARsubstitution only host.docker.internalfor host services from inside Docker- guardrails before enrichment in filter chains
- For debugging, prioritize traces over guesswork (
planoai up --with-tracing,planoai trace). - Return concrete diffs and a short validation checklist.
Response Style
- Prefer actionable edits over generic advice.
- Be explicit about why a config choice is correct.
- Call out risky patterns (hardcoded secrets, missing default provider, bad filter ordering).
- Keep examples minimal and production-viable.
References
- Repo: https://github.com/katanemo/plano
- Full rulebook:
skills/AGENTS.md
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 · 54 lines · 35 tokens per session scan A bb3391480d0a
plano-agent-skills is a skill published in the GitHub repository katanemo/plano (7,047 stars, last pushed 21d ago), licensed Apache-2.0. It adds 35 tokens to every session and 481 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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