srx-mpls-in-flow

srx-mpls-in-flow is a skill for Codex from fastrevmd-lab/fwskillsshare. It costs 103 tokens per session (5,948 once invoked), scanned A, original, MIT.

Instructions for using a Juniper SRX firewall with MPLS L3VPN, a provider network method for carrying separate customer networks over shared links. MPLS label switching stays packet-based while customer IPv4 and IPv6 traffic can use stateful firewall services.

In plain words
What is it for?
Use it to configure or troubleshoot VRFs, labels, routing protocols, MTU, VPN routes, policy matching, NAT, application services, and packet captures.
Why use it?
It allows the SRX to protect VPN customer traffic with firewall policies, NAT, application identification, and intrusion prevention without treating all MPLS traffic as ordinary firewall traffic.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: names the AskUserQuestion tool; mentions Codex.

Good fit Use it to configure or troubleshoot VRFs, labels, routing protocols, MTU, VPN routes, policy matching, NAT, application services, and packet captures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fastrevmd-lab/fwskillsshare/srx-mpls-in-flow
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 fastrevmd-lab/fwskillsshare --skill srx-mpls-in-flow
Clone the repo
git clone --depth 1 https://github.com/fastrevmd-lab/fwskillsshare

Made for: 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 srx-mpls-in-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/srx-mpls-in-flow/github.svg)](https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/srx-mpls-in-flow)
Your own site
<a href="https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/srx-mpls-in-flow"><img src="https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/srx-mpls-in-flow/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 srx-mpls-in-flow

Your own site · 80×15
<a href="https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/srx-mpls-in-flow"><img src="https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/srx-mpls-in-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,948 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 $0.00103 $0.05948
Opus 5 $0.00051 $0.02974
Sonnet 5 $0.00021 $0.01190
Haiku 4.5 $0.00010 $0.00595

Measured 12d ago against content hash c60756b55112, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

srx-mpls-in-flow 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 12d 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/srx-mpls-in-flow/SKILL.md · 465 lines

How it starts

The opening of the file, as written. The whole thing — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SRX MPLS in Flow

Overview

Junos 24.2R1 introduced a cleaner SRX forwarding model for MPLS security use cases: keep family mpls in packet mode while processing family inet and family inet6 in SRX flow mode. That lets an SRX act as an MPLS L3VPN PE/CPE and still apply stateful firewall, NAT, AppID, IPS/IDP, and other flow services to customer IPv4/IPv6 traffic.

The operational pattern is:

  1. Configure the SRX to process family mpls packet-based, leaving inet/inet6 flow-based.
  2. Build the MPLS underlay with larger MTU, loopbacks, IGP, LDP or RSVP/BGP-LU, and MP-BGP family inet-vpn.
  3. Define VRFs with route distinguisher, vrf-target, and SRX-required vrf-table-label when local VRF interfaces exist.
  4. Bind customer interfaces into VRFs.
  5. Apply SRX security policy and NAT using either:
    • Junos 24.2 style L3VPN VRF group match conditions, or
    • Junos 25.4R1+ VRF-to-zone mapping where supported.
  6. Verify forwarding mode, MPLS labels, VPN routes, policy hits, sessions, NAT/AppID, and packet captures.

Do not treat this as "global packet mode MPLS." The value is that only MPLS label switching remains packet-based while the inner customer traffic can enter normal SRX flow processing.

Scope and routing

Use this skill only for MPLS or VRF flow-mode behavior. Use parsing-srx-configs for full-config extraction, srx-policy for non-VRF policy design, and srx-nat for NAT outside MPLS contexts.

Runtime intake

Before starting the workflow, inspect the request, supplied artifacts, and available approved read-only evidence. If unresolved facts could materially change safety, scope, correctness, confidence, or the requested output, read references/runtime-intake.md.

For each unresolved material fact whose catalog condition is true, invoke Claude AskUserQuestion or Codex request_user_input before continuing or issuing an open-ended request. Ask at most three single-select catalog questions per round. After each response, ask another round whenever any unresolved material catalog condition remains true; continue only when none remain. Do not repeat answered questions or show the full catalog. Without a native tool, present each selected catalog question with its 2-3 labeled choices and a free-text Other path in concise plain text; do not substitute a generic checklist.

Read the full file on GitHub · 465 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 465 lines · 103 tokens per session scan A c60756b55112

Subscribe to this mod's changes

srx-mpls-in-flow is a skill published in the GitHub repository fastrevmd-lab/fwskillsshare (9 stars, last pushed today), licensed MIT. It adds 103 tokens to every session and 5,948 once invoked, about $0.0005 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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