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 fastrevmd-lab/fwskillsshare --skill srx-natgit clone --depth 1 https://github.com/fastrevmd-lab/fwskillsshareWrote 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/fastrevmd-lab/fwskillsshare/srx-nat)<a href="https://agentmods.dev/skills/fastrevmd-lab/fwskillsshare/srx-nat"><img src="https://agentmods.dev/badge/skills/fastrevmd-lab/fwskillsshare/srx-nat.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 | $0.00078 | $0.05642 |
| Opus 5 | $0.00039 | $0.02821 |
| Sonnet 5 | $0.00016 | $0.01128 |
| Haiku 4.5 | $0.00008 | $0.00564 |
Grade A, and why
srx-nat 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.
How it starts
The opening of the file, as written. The whole thing — 439 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SRX NAT
Overview
SRX NAT is flow-based translation performed during first-packet session setup. Use this skill to reason about how Junos chooses a NAT rule, how translated addresses affect route and policy lookup, and how to verify the resulting session wings.
Core SRX NAT types:
- Source NAT changes the client/source address after route and security policy lookup. It is used for Internet access, carrier-grade NAT, NAT64 source translation, and hairpin return symmetry.
- Destination NAT changes the destination before route and security policy lookup. It is used for publishing inside servers behind public or shared addresses.
- Static NAT is bidirectional 1:1 or prefix translation. It has higher precedence than destination NAT, and reverse static NAT has higher precedence than source NAT.
- NAT64 on SRX is usually built with static NAT
inetdestination extraction from64:ff9b::/96plus a normal source NAT action to a reachable IPv4 source.
Always inspect the translated session, not only the configuration. Correct NAT configuration with wrong routes, policy, proxy ARP, or return path still fails.
Scope and routing
Use this skill for SRX NAT behavior after relevant configuration is identified. Use parsing-srx-configs for full-config extraction and srx-policy for post-translation policy design.
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.
What ships with it
14 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.
- agents/openai.yaml 204 B
- references/advanced-nat.md 6.2 KB
- references/runtime-intake.md 6.4 KB
- references/source-address-persistent-source-nat.md 1.4 KB
- references/source-dns64-and-nat64-on-srx-series.md 1.3 KB
- references/source-index.md 1.2 KB
- references/source-security-nat-overview.md 1.3 KB
- references/source-source-nat-part-1.md 1.2 KB
- references/source-source-nat-part-3-large-scale.md 1.3 KB
- references/source-srx-evpnvxlan-t5-oipsec.md 1.2 KB
- references/source-srx340-nat-hairpinning.md 1.1 KB
- references/source-srx4600-cgn-configuration-breakdown.md 1.2 KB
- references/source-troubleshoot-destination-nat.md 1.1 KB
- references/source-troubleshoot-source-nat.md 1.0 KB
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 · 439 lines · 78 tokens per session scan A 04ff8e99fffd
srx-nat is a skill published in the GitHub repository fastrevmd-lab/fwskillsshare (8 stars, last pushed 11d ago), licensed MIT. It adds 78 tokens to every session and 5,642 once invoked, about $0.0004 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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