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 26zl/cybersec-toolkit --skill conducting-wireless-network-penetration-testgit clone --depth 1 https://github.com/26zl/cybersec-toolkitWrote 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/26zl/cybersec-toolkit/conducting-wireless-network-penetration-test)<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/conducting-wireless-network-penetration-test"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/conducting-wireless-network-penetration-test/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/26zl/cybersec-toolkit/conducting-wireless-network-penetration-test"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/conducting-wireless-network-penetration-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 77 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00104 | $0.02568 |
| Opus 5 | $0.00052 | $0.01284 |
| Sonnet 5 | $0.00021 | $0.00514 |
| Haiku 4.5 | $0.00010 | $0.00257 |
Grade A, and why
conducting-wireless-network-penetration-test 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- conducting-wireless-network-penetration-test — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducting Wireless Network Penetration Test
When to Use
- Assessing the security of enterprise wireless networks including guest, corporate, and IoT WiFi segments
- Testing whether attackers within physical proximity can compromise wireless authentication and access internal networks
- Validating wireless intrusion detection/prevention system (WIDS/WIPS) capabilities against known attack techniques
- Evaluating the effectiveness of WPA3 migration and transition mode configurations
- Testing network segmentation between wireless and wired networks after a wireless network compromise
Do not use against wireless networks without written authorization from the network owner, for jamming or denial-of-service attacks against wireless infrastructure unless explicitly authorized, or in environments where wireless disruption could affect life-safety systems.
Prerequisites
- Written authorization specifying target SSIDs, BSSIDs, and physical testing locations
- External WiFi adapter supporting monitor mode and packet injection (Alfa AWUS036ACH, TP-Link TL-WN722N v1)
- Kali Linux or equivalent with up-to-date wireless tools (aircrack-ng suite, hostapd, bettercap)
- Physical access to the testing location during authorized testing hours
- Knowledge of the target's wireless architecture (SSIDs, authentication types, RADIUS infrastructure)
Workflow
Step 1: Wireless Reconnaissance
Discover and map all wireless networks in the target environment:
- Enable monitor mode:
airmon-ng start wlan0 - Capture wireless traffic:
airodump-ng wlan0mon -w recon --output-format csv,pcapto discover all SSIDs, BSSIDs, channels, encryption types, and connected clients - Identify target networks from the authorized scope and note their security configurations (WEP, WPA2-Personal, WPA2-Enterprise, WPA3-SAE, WPA3-Transition)
- Enumerate connected clients and their signal strengths to understand client distribution
- Check for hidden SSIDs by capturing probe requests from clients:
airodump-ng wlan0mon --essid-regex ".*" -c <channel> - Identify rogue access points by comparing discovered BSSIDs against the client's authorized AP inventory
What ships with it
3 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.
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.
- 7d ago First seen · 189 lines · 104 tokens per session scan A 513cb626e6ea
conducting-wireless-network-penetration-test is a skill published in the GitHub repository 26zl/cybersec-toolkit (54 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 2,568 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 2026-09-03.
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../../../cloud-infra/ot-iot-device-security/SKILL.md.