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 transilienceai/communitytools --skill network-appliance-offensivegit clone --depth 1 https://github.com/transilienceai/communitytoolsWrote 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/transilienceai/communitytools/network-appliance-offensive)<a href="https://agentmods.dev/skills/transilienceai/communitytools/network-appliance-offensive"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/network-appliance-offensive/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/transilienceai/communitytools/network-appliance-offensive"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/network-appliance-offensive.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 | $0.00139 | $0.01457 |
| Opus 5 | $0.00069 | $0.00728 |
| Sonnet 5 | $0.00028 | $0.00291 |
| Haiku 4.5 | $0.00014 | $0.00146 |
Grade A, and why
network-appliance-offensive 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.
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network-Appliance Offensive
firewall-review audits a config statically; infrastructure covers generic ports/DNS/SMB. Neither tests a live perimeter appliance or its VPN crypto — so IKE builders, SIC/OPSEC fingerprinting, and TTL discriminators were reinvented from raw sockets each engagement, often shallowly, and CVE applicability was left UNDETERMINED across whole estates. This skill provides the deterministic, tested tools and the precondition-gated methodology. Non-destructive only — every tool observes/decodes/infers; none fires an exploit, and CVE applicability is a precondition check, never a blind "vulnerable."
Tools
| Tool | Does | Anti-footgun |
|---|---|---|
tools/ike_enum.py |
IKEv1 aggressive-mode detection, IKEv1/IKEv2 transform + DH-group enum, NOTIFY / NAT-T decode (wraps ike-scan, raw ISAKMP SA_INIT builder fallback) |
Aggressive-mode support (PSK-hash leak) is the finding; enumerate, don't crack in-band |
tools/checkpoint_sic_opsec.py |
Fingerprint SIC (18190/1), OPSEC LEA/ELA (18183/4), CA (18192/18210), FW1 (256/264), Gaia Portal; emit a CVE-precondition map incl. CVE-2024-24919 | CVE-2024-24919 is applicable ONLY when the RA/Mobile-Access marker is observed — else undetermined |
tools/appliance_version_infer.py |
Safe firmware/patch-level inference for FortiGate / PAN-OS / Cisco ASA / Citrix from headers, login markers, cert CN/serial → CVE applicability | Never asserts applicable on a low-confidence / unknown version — returns undetermined |
tools/tls_handshake_probe.py |
Which TLS versions are supported, by completed handshake per pinned protocol | Fixes the openssl s_client exit/SECLEVEL false-positive — an aborted handshake ≠ support |
tools/ntlm_decode.py |
Decode an NTLM Type-2 (CHALLENGE) AV_PAIR block → NetBIOS/DNS host, domain, forest, OS build | Info-leak finding from an unauthenticated challenge; no auth attempted |
tools/perimeter_forensics.py |
RST-TTL forgery discriminator (real host vs firewall forging a RST) + IKE NOTIFY decode | Never asserts "internal host behind FW" on RSTs alone — a firewall forges RSTs indistinguishably at this layer; returns undetermined without an open-service TTL baseline |
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 · 41 lines · 139 tokens per session scan A 9237b33a1def
network-appliance-offensive is a skill published in the GitHub repository transilienceai/communitytools (520 stars, last pushed 1mo ago), licensed MIT. It adds 139 tokens to every session and 1,457 once invoked, about $0.0007 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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