Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
Wi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery…
$ npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install SnailSploit/Claude-Red offensive-wifi-recon --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skills/wireless/offensive-wifi-recon .claude/skills/offensive-wifi-recon && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "offensive-wifi-recon" agent skill from https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wifi-recon into .claude/skills/offensive-wifi-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "offensive-wifi-recon", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wifi-reconType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install SnailSploit/Claude-Red offensive-wifi-recon --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Skills/wireless/offensive-wifi-recon .agents/skills/offensive-wifi-recon && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "offensive-wifi-recon" agent skill from https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wifi-recon into .agents/skills/offensive-wifi-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "offensive-wifi-recon", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install SnailSploit/Claude-Red offensive-wifi-recon --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Skills/wireless/offensive-wifi-recon .cursor/skills/offensive-wifi-recon && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "offensive-wifi-recon" agent skill from https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wifi-recon into .cursor/skills/offensive-wifi-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "offensive-wifi-recon", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/SnailSploit/Claude-Red.git --path Skills/wireless/offensive-wifi-recon--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install SnailSploit/Claude-Red offensive-wifi-recon --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Skills/wireless/offensive-wifi-recon .gemini/skills/offensive-wifi-recon && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "offensive-wifi-recon" agent skill from https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wifi-recon into .gemini/skills/offensive-wifi-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "offensive-wifi-recon", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install SnailSploit/Claude-Red offensive-wifi-reconInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git skills-src && mkdir -p .github/skills && cp -r skills-src/Skills/wireless/offensive-wifi-recon .github/skills/offensive-wifi-recon && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "offensive-wifi-recon" agent skill from https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wifi-recon into .github/skills/offensive-wifi-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "offensive-wifi-recon", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install SnailSploit/Claude-Red offensive-wifi-recon --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Skills/wireless/offensive-wifi-recon .opencode/skills/offensive-wifi-recon && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "offensive-wifi-recon" agent skill from https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wifi-recon into .opencode/skills/offensive-wifi-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "offensive-wifi-recon", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
offensive-wifi-reconWi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery…
Offensive Wifi Recon is an agent skill from SnailSploit/Claude-Red. Wi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery, BSSID/ESSID/channel/PMF/encryption fingerprinting, client probe analysis, vendor OUI lookup, war-driving with Kismet/airodump-ng/Wigle, and structured airspace data capture for downstream attacks. Use at the start of any wireless engagement to build the target map before active attacks; covers 2.4 GHz, 5 GHz, and 6 GHz (Wi-Fi 6E) bands and…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security. The repository describes itself as: claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 739512a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Offensive Wifi Recon loads about 1.7k tokens when it runs. Until then it costs about 142 tokens; SKILL.md has 504 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
sudo airmon-ng check killsudo airmon-ng start wlan0sudo ip link set wlan0 downsudo iw wlan0 set monitor controlsudo ip link set wlan0 upsudo aireplay-ng --test wlan0monsudo iw reg set USsudo airodump-ng wlan0mon --band abgsudo airodump-ng wlan0mon --band asudo airodump-ng wlan0mon --band axAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from SnailSploit/Claude-Red at commit 739512a, republished under its MIT licence (© SnailSploit). 504 words, ~1,709 tokens.
.claude/skills/offensive-wifi-recon/SKILL.md (or your agent's skills folder).The first phase of any wireless engagement. Build a complete picture of the airspace before you deauth, evil-twin, or capture handshakes — every later attack depends on knowing the right BSSID, channel, encryption, and client population.
| Chipset | Strengths | Notes |
|---|---|---|
| Atheros AR9271 (Alfa AWUS036NHA) | Solid 2.4 GHz monitor + injection | 802.11n only |
| Realtek RTL8812AU (AWUS036ACH) | Dual-band, injection | Driver: aircrack-ng/rtl8812au |
| MediaTek MT7612U (AWUS036ACM) | Stable dual-band | In-tree driver on modern kernels |
| MediaTek MT7921AU | Wi-Fi 6 monitor (limited) | Patched drivers required |
| AWUS036AXML / AXM | Wi-Fi 6E (6 GHz) | Bleeding edge — verify per release |
# Identify your radio
lsusb | grep -iE "(atheros|realtek|mediatek|alfa)"
iw dev
iw list | grep -A 8 "Supported interface modes"
iw list | grep -E "Frequencies:" -A 30# Kill conflicting services
sudo airmon-ng check kill
# Enable monitor mode
sudo airmon-ng start wlan0
# Or manually
sudo ip link set wlan0 down
sudo iw wlan0 set monitor control
sudo ip link set wlan0 up
# Verify monitor mode + injection
sudo aireplay-ng --test wlan0monThe injection test should report 30/30 ack rates against nearby APs. Lower scores indicate driver, antenna, or position issues.
# Check current
iw reg get
# Set explicitly (us = United States, jp = Japan extended, etc.)
sudo iw reg set USSetting the right regdomain unlocks legitimate channels (US: 1–11 on 2.4, 36–165 on 5; JP adds 12–13 + 184+ DFS) and TX power. Operate within the regdomain you're authorized to use.
# All bands
sudo airodump-ng wlan0mon --band abg
# 5 GHz only (helps see UNII bands)
sudo airodump-ng wlan0mon --band a
# 6 GHz (requires 6E-capable adapter and updated airodump-ng)
sudo airodump-ng wlan0mon --band ax
# Hop only specific channels
sudo airodump-ng wlan0mon -c 1,6,11,36,40,44,48Capture to file for later analysis:
sudo airodump-ng wlan0mon --band abg --write recon --output-format pcap,csvOnce you've identified an in-scope BSSID:
sudo airodump-ng -c 6 --bssid AA:BB:CC:DD:EE:FF -w target wlan0monPin to the channel — channel-hopping during a focused capture loses frames.
Hidden APs broadcast beacons with empty ESSID. The name leaks during client probes (active scan) or association requests:
# Wait for legitimate client to associate, ESSID appears in airodump output
# Or, if a client is already associated, deauth them once to force reassociation:
sudo aireplay-ng --deauth 1 -a AA:BB:CC:DD:EE:FF -c 11:22:33:44:55:66 wlan0mon(Only deauth with explicit authorization — see offensive-deauth-disassoc.)
sudo kismet -c wlan0mon
# Open https://localhost:2501 for the dashboardKismet handles GPS integration, plots APs to a map, fingerprints by IE order, identifies probable IoT vendors from OUI prefixes, and tags known-vulnerable models.
For long-running captures, drop --no-ncurses and run headless under tmux.
If the engagement permits:
# Export Kismet's .kismet → CSV → Wigle import format
kismetdb_dump_devices --in capture.kismet --out devices.csv(Wigle aggregates wireless network observations geographically — useful for mapping but check ROE.)
# Quick OUI lookup
echo "AA:BB:CC" | wireshark-tools/manuf-lookup
# Or check the airodump CSV's BSSID prefix against /usr/share/wireshark/manufVendor identification informs:
| Field | Why |
|---|---|
| BSSID | Required for every active attack |
| ESSID | Match against PNL probes; client probe correlation |
| Channel + width | Pin radio for capture |
| Band | Adapter selection |
| Encryption | WPA2-PSK / WPA2-Enterprise / WPA3-SAE / Open / WEP |
| PMF (Protected Management Frames) | Whether deauth works |
| RSSI | Position planning |
| Beacon interval / TIM | Anomaly detection vs. evil-twin defenders |
| Vendor (OUI) | Likely default creds, known bugs |
| Client list (MACs + RSSI) | Targets for deauth/relay |
| WPS enabled? | Pixie Dust candidate |
A defender's WIDS sees:
offensive-evil-twin)Pure passive recon (no probes from your radio) is invisible to most WIDS deployments. Stay passive until you're committed to the active phase.
# 1. Setup
sudo airmon-ng check kill && sudo airmon-ng start wlan0
sudo iw reg set US
sudo aireplay-ng --test wlan0mon # confirm injection (skip if pure passive)
# 2. Sweep all bands, write to file
sudo airodump-ng wlan0mon --band abg --write recon --output-format pcap,csv
# 3. Kismet for sustained map (optional)
sudo kismet -c wlan0mon --no-ncurses --daemonize
# 4. Per BSSID drill-down
sudo airodump-ng -c <ch> --bssid <BSSID> -w <name> wlan0mon
# 5. Build target list with all fields above© SnailSploit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in Skills/wireless/offensive-wifi-recon of SnailSploit/Claude-Red.
Open the folder on GitHubat commit 739512a
Offensive Wifi Recon next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Offensive Wifi Recon this skillSnailSploit/Claude-Red | 7.4k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~6.3k | Automated safety check: Pass | MIT | |
| Deepsec Documentation Guidevercel-labs/deepsec | 8.1k | — | ~956 | Automated safety check: Pass | Apache-2.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 481 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Security Alert Triageelastic/agent-skills | 592 | 1 repos | ~3.5k | Automated safety check: Notes | Apache-2.0 |
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
yan-labs/serenity-aleabitoreddit
Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.
elastic/agent-skills
Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge.
SummerSec/ShiroAttack2
当用户要求利用、检测或测试 Apache Shiro rememberMe 反序列化漏洞 (Shiro-550, CVE-2016-4437) 时使用。触发词包括 "Shiro"、"rememberMe"、"shiro attack"、"CVE-2016-4437"、"Shiro-550"、"爆破 Shiro key"、"利用 Shiro"、"Shiro…
SnailSploit/Claude-Red
KRACK (CVE-2017-13077..082) and FragAttacks (CVE-2020-24586..588 + 26139-26147) — key reinstallation, fragmentation, and aggregation attacks against WPA2 supplicants.
SnailSploit/Claude-Red
Practical offensive fuzzing methodology covering target identification, fuzzer selection (AFL++, libFuzzer, Honggfuzz, Boofuzz, syzkaller), harness writing, corpus curation, mutation strategies…
SnailSploit/Claude-Red
LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz…
SnailSploit/Claude-Red
Mobile (Android + iOS) application penetration testing methodology.
SnailSploit/Claude-Red
Wireless / 802.11 attack methodology for red team engagements and wireless security assessments.
SnailSploit/Claude-Red
WPS (Wi-Fi Protected Setup) PIN attack methodology — Pixie Dust offline attack against vulnerable chipsets (Ralink, Realtek, Broadcom, MediaTek), online PIN brute-force with reaver/bully, lockout…
Categories
Wi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery…. Offensive Wifi Recon is an agent skill from SnailSploit/Claude-Red. Wi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery, BSSID/ESSID/channel/PMF/encryption fingerprinting, client probe analysis, vendor OUI lookup, war-driving with Kismet/airodump-ng/Wigle, and structured airspace data capture for downstream attacks.
Offensive Wifi Recon fits situations like: security work in your project.
Run `npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a claude-code`. Or copy the skill folder (Skills/wireless/offensive-wifi-recon in SnailSploit/Claude-Red) into .claude/skills/offensive-wifi-recon in your project. Claude Code loads it when a task matches its description.
Run `npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a codex`. Or copy the skill folder (Skills/wireless/offensive-wifi-recon in SnailSploit/Claude-Red) into .agents/skills/offensive-wifi-recon in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/offensive-wifi-recon, .gemini/skills/offensive-wifi-recon, .github/skills/offensive-wifi-recon and .opencode/skills/offensive-wifi-recon in your project.
SKILL.md names no scripts, command-line tools or credentials: Offensive Wifi Recon is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Offensive Wifi Recon is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Offensive Wifi Recon: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
SnailSploit (a GitHub user) maintains it in SnailSploit/Claude-Red, which has 7,362 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 19, 2026.
Source: SnailSploit/Claude-Red on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.