plano-filter-guardrails

plano-filter-guardrails is a skill for Claude Code, Codex from katanemo/plano. It costs 31 tokens per session (210 once invoked), scanned A, original, Apache-2.0.

A set of rules for configuring Plano safety filters and guardrails, which inspect or modify requests before they continue through an MCP system. It covers filter settings, rejection messages, and the order in which checks run.

In plain words
What is it for?
Use it to configure MCP filters, improve blocked-request messages, order safety checks and rewrites, and test allowed and rejected prompts.
Why use it?
It helps prevent unsafe requests from reaching expensive processing and avoids incorrect results caused by filters running in the wrong order.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to configure MCP filters, improve blocked-request messages, order safety checks and rewrites, and test allowed and rejected prompts.

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Install with agentmods
npx agentmods add skills/katanemo/plano/plano-filter-guardrails
About the project

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.

katanemo/plano · 7,047 stars · on GitHub · planoai.dev

Install

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.

Any agent
npx skills add katanemo/plano --skill plano-filter-guardrails
Clone the repo
git clone --depth 1 https://github.com/katanemo/plano

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for plano-filter-guardrails

README.md
[![agentmods](https://agentmods.dev/badge/skills/katanemo/plano/plano-filter-guardrails/github.svg)](https://agentmods.dev/skills/katanemo/plano/plano-filter-guardrails)
Your own site
<a href="https://agentmods.dev/skills/katanemo/plano/plano-filter-guardrails"><img src="https://agentmods.dev/badge/skills/katanemo/plano/plano-filter-guardrails/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.

agentmods 80×15 button for plano-filter-guardrails

Your own site · 80×15
<a href="https://agentmods.dev/skills/katanemo/plano/plano-filter-guardrails"><img src="https://agentmods.dev/badge/skills/katanemo/plano/plano-filter-guardrails.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 210 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.00210
Opus 5 $0.00015 $0.00105
Sonnet 5 $0.00006 $0.00042
Haiku 4.5 $0.00003 $0.00021

Measured 10d ago against content hash 58d9a71f435d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

plano-filter-guardrails 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.

skills/plano-filter-guardrails/SKILL.md · 34 lines

What it actually says

Plano Filter Chains and Guardrails

Use this skill when safety controls or filter pipelines need correction.

When To Use

  • "Fix filter chain ordering"
  • "Set up MCP filters correctly"
  • "Improve guardrail rejection behavior"
  • "Harden request processing for safety"

Apply These Rules

  • filter-mcp
  • filter-guardrails
  • filter-ordering

Execution Checklist

  1. Configure filter type, transport, and tool explicitly for MCP.
  2. Ensure rejection messages are clear and actionable.
  3. Order chain as guards -> rewriters -> enrichment -> output checks.
  4. Prevent expensive enrichment on unsafe requests.
  5. Verify with representative blocked and allowed test prompts.
Changes

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.

  1. 10d ago First seen · 34 lines · 31 tokens per session scan A 58d9a71f435d

Subscribe to this mod's changes

plano-filter-guardrails is a skill published in the GitHub repository katanemo/plano (7,047 stars, last pushed 21d ago), licensed Apache-2.0. It adds 31 tokens to every session and 210 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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