Discover Plugins
ruvnet/ruflo
Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
WS-Discovery protocol scanner for discovering and enumerating ONVIF cameras and IoT devices on the network.
MITAuto-check passed
Install Wsdiscovery
$ npx skills add BrownFineSecurity/iothackbot --skill wsdiscovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BrownFineSecurity/iothackbot wsdiscovery --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/BrownFineSecurity/iothackbot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wsdiscovery .claude/skills/wsdiscovery && 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 "wsdiscovery" agent skill from https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/wsdiscovery into .claude/skills/wsdiscovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdiscovery", 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/BrownFineSecurity/iothackbot/tree/master/skills/wsdiscoveryType 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 BrownFineSecurity/iothackbot --skill wsdiscovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BrownFineSecurity/iothackbot wsdiscovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BrownFineSecurity/iothackbot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/wsdiscovery .agents/skills/wsdiscovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wsdiscovery" agent skill from https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/wsdiscovery into .agents/skills/wsdiscovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdiscovery", 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 BrownFineSecurity/iothackbot --skill wsdiscovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BrownFineSecurity/iothackbot wsdiscovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BrownFineSecurity/iothackbot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/wsdiscovery .cursor/skills/wsdiscovery && 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 "wsdiscovery" agent skill from https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/wsdiscovery into .cursor/skills/wsdiscovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdiscovery", 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/BrownFineSecurity/iothackbot.git --path skills/wsdiscovery--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 BrownFineSecurity/iothackbot --skill wsdiscovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BrownFineSecurity/iothackbot wsdiscovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BrownFineSecurity/iothackbot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/wsdiscovery .gemini/skills/wsdiscovery && 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 "wsdiscovery" agent skill from https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/wsdiscovery into .gemini/skills/wsdiscovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdiscovery", 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 BrownFineSecurity/iothackbot wsdiscoveryInstalls 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 BrownFineSecurity/iothackbot --skill wsdiscovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BrownFineSecurity/iothackbot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/wsdiscovery .github/skills/wsdiscovery && 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 "wsdiscovery" agent skill from https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/wsdiscovery into .github/skills/wsdiscovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdiscovery", 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 BrownFineSecurity/iothackbot --skill wsdiscovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BrownFineSecurity/iothackbot wsdiscovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BrownFineSecurity/iothackbot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/wsdiscovery .opencode/skills/wsdiscovery && 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 "wsdiscovery" agent skill from https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/wsdiscovery into .opencode/skills/wsdiscovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdiscovery", 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.
Facts
- Skill name
wsdiscovery- GitHub stars
- 858
- Used in
- 1 other repo
- Token cost
- ~628 tokens
- SKILL.md length
- 265 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
WS-Discovery protocol scanner for discovering and enumerating ONVIF cameras and IoT devices on the network.
- Works in 3 steps: Understand the target → Execute the scan → Output formats
- You need to discover ONVIF devices
- SKILL.md covers Tool Overview, Instructions, What It Discovers and Examples, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Wsdiscovery is an agent skill from BrownFineSecurity/iothackbot. WS-Discovery protocol scanner for discovering and enumerating ONVIF cameras and IoT devices on the network. Use when you need to discover ONVIF devices, cameras, or WS-Discovery enabled equipment on a network.
Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: IoT HackBot: A collection of Claude Skills and custom tooling for hybrid IoT pentesting. The licence is MIT.
When your agent uses it
- You need to discover ONVIF devices
- WS-Discovery enabled equipment on a network
Example prompts
- “/wsdiscovery”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Understand the target
- Execute the scan
- Output formats
What it can do on your machine
Read from SKILL.md and the folder at commit d443c40. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Wsdiscovery loads about 628 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 265 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.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated 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.
SKILL.md
The full file from BrownFineSecurity/iothackbot at commit d443c40, republished under its MIT licence (© BrownFineSecurity). 265 words, ~628 tokens.
Download SKILL.mdSave it as
.claude/skills/wsdiscovery/SKILL.md (or your agent's skills folder).- name
- wsdiscovery
- description
- WS-Discovery protocol scanner for discovering and enumerating ONVIF cameras and IoT devices on the network. Use when you need to discover ONVIF devices, cameras, or WS-Discovery enabled equipment on a network.
Wsdiscovery - WS-Discovery Protocol Scanner
You are helping the user discover and enumerate devices using the WS-Discovery protocol (commonly used by ONVIF cameras and IoT devices) using the wsdiscovery tool.
Tool Overview
Wsdiscovery implements the WS-Discovery protocol to discover network devices that support this standard. It's particularly useful for finding ONVIF cameras, network video recorders (NVRs), and other IoT devices that advertise themselves via WS-Discovery.
Instructions
When the user asks to discover ONVIF devices, find network cameras, or scan for WS-Discovery devices:
Understand the target:
- Ask for the target hostname or IP address
- Determine if they want verbose output (full XML responses)
- Decide on output format
Execute the scan:
- Use the wsdiscovery command from the iothackbot bin directory
- Basic usage:
wsdiscovery <hostname_or_ip> - For verbose output:
wsdiscovery <hostname_or_ip> -v - For JSON output:
wsdiscovery <hostname_or_ip> --format json
Output formats:
--format text(default): Human-readable colored output with device details--format json: Machine-readable JSON--format quiet: Minimal output
What It Discovers
The tool extracts and displays:
- IP addresses and ports
- Endpoint references (device UUIDs)
- Device types
- Manufacturer information
- Device names and models
- Hardware versions
- Serial numbers
- Firmware versions
- Location information
- Service endpoints (XAddrs) - URLs for device management
- Metadata versions
Examples
Discover devices on a specific host:
wsdiscovery 192.168.1.100Discover with full XML responses:
wsdiscovery 192.168.1.100 -vOutput device information as JSON:
wsdiscovery 192.168.1.100 --format jsonScan network broadcast address to find all devices:
wsdiscovery 239.255.255.250Important Notes
- WS-Discovery uses multicast/broadcast discovery
- Devices must support the WS-Discovery protocol to be found
- Common with ONVIF cameras, printers, and network media devices
- Service endpoints (XAddrs) can be used with onvifscan for further testing
- The tool parses ONVIF-specific scope information when available
© BrownFineSecurity, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/wsdiscovery of BrownFineSecurity/iothackbot.
Open the folder on GitHubat commit d443c40
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in BrownFineSecurity/iothackbot, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Wsdiscovery 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 |
|---|---|---|---|---|---|---|
| Wsdiscovery this skillBrownFineSecurity/iothackbot | 858 | 1 repos | ~628 | Automated safety check: Pass | MIT | |
| Discover Pluginsruvnet/ruflo | 74k | — | ~2k | Automated safety check: Notes | MIT | |
| Aas Discoversickn33/agentic-awesome-skills | 47k | 1 repos | ~523 | Automated safety check: Pass | MIT | |
| Creating Replay Vision ScannersPostHog/posthog | 40k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Designing Replay Vision ScannersPostHog/posthog | 40k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Discoverbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2.2k | Automated safety check: Pass | Custom licence |
Similar skills
Aas Discover
sickn33/agentic-awesome-skills
Discover AAS skills for an explicit task and compare their complete instructions without installing them.
- Official
Creating Replay Vision Scanners
PostHog/posthog
Guides agents through creating and safely sizing a Replay Vision scanner: choosing the scanner type (monitor/classifier/scorer/summarizer), shaping the RecordingsQuery that selects sessions, and —…
- Official
Designing Replay Vision Scanners
PostHog/posthog
Designs a Replay Vision scanner that produces trustworthy observations: one visible question per scanner, a type chosen from the answer shape, a query that selects only sessions able to answer it, a…
Discover
brycewang-stanford/Auto-Empirical-Research-Skills
Discovery phase combining research interviews, literature search, data discovery, and ideation.
Frost Sequence Camera Orbit
heygen-com/hyperframes
A ready-made HyperFrames video block where an orbiting camera follows an ice logo that shatters, reforms into two text lines and fades, at 1920×1080.
More from BrownFineSecurity/iothackbot
All 8 skills in this repoNmap
BrownFineSecurity/iothackbot
Professional network reconnaissance and port scanning using nmap.
Chipsec
BrownFineSecurity/iothackbot
Static analysis of UEFI/BIOS firmware dumps using Intel's chipsec framework.
Ffind
BrownFineSecurity/iothackbot
Advanced file finder with type detection and filesystem extraction for analyzing firmware and extracting embedded filesystems.
Iotnet
BrownFineSecurity/iothackbot
IoT network traffic analyzer for detecting IoT protocols and identifying security vulnerabilities in network communications.
Onvifscan
BrownFineSecurity/iothackbot
ONVIF device security scanner for testing authentication and brute-forcing credentials.
Jtagprobe
BrownFineSecurity/iothackbot
Probe IoT/embedded targets for exposed SWD/JTAG debug interfaces using a SEGGER J-Link.
Questions about Wsdiscovery
What does Wsdiscovery do?
WS-Discovery protocol scanner for discovering and enumerating ONVIF cameras and IoT devices on the network. Wsdiscovery is an agent skill from BrownFineSecurity/iothackbot. WS-Discovery protocol scanner for discovering and enumerating ONVIF cameras and IoT devices on the network.
When should I use Wsdiscovery?
Wsdiscovery fits situations like: you need to discover ONVIF devices; WS-Discovery enabled equipment on a network.
How do I install Wsdiscovery in Claude Code?
Run `npx skills add BrownFineSecurity/iothackbot --skill wsdiscovery -a claude-code`. Or copy the skill folder (skills/wsdiscovery in BrownFineSecurity/iothackbot) into .claude/skills/wsdiscovery in your project. Claude Code loads it when a task matches its description.
How do I install Wsdiscovery in Codex?
Run `npx skills add BrownFineSecurity/iothackbot --skill wsdiscovery -a codex`. Or copy the skill folder (skills/wsdiscovery in BrownFineSecurity/iothackbot) into .agents/skills/wsdiscovery in your project. Codex loads it when a task matches its description.
Can I use Wsdiscovery in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BrownFineSecurity/iothackbot --skill wsdiscovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wsdiscovery, .gemini/skills/wsdiscovery, .github/skills/wsdiscovery and .opencode/skills/wsdiscovery in your project.
What does Wsdiscovery need to run?
SKILL.md names no scripts, command-line tools or credentials: Wsdiscovery is instructions for the agent only.
Does Wsdiscovery access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Wsdiscovery safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Wsdiscovery use?
Wsdiscovery is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Wsdiscovery use?
About 628 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Wsdiscovery?
Skills that share tags, products or a category with Wsdiscovery: Discover Plugins (ruvnet/ruflo, 74k stars), Aas Discover (sickn33/agentic-awesome-skills, 47k stars), Creating Replay Vision Scanners (PostHog/posthog, 40k stars) and Designing Replay Vision Scanners (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wsdiscovery?
BrownFineSecurity (a GitHub organization) maintains it in BrownFineSecurity/iothackbot, which has 858 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on June 1, 2026.
Source: BrownFineSecurity/iothackbot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.