Kubeshark KFL2 Filter Reference
kubeshark/kubeshark
Syntax reference for KFL2, the CEL-based display filter language used to search Kubernetes network traffic captured by Kubeshark, loaded before any filter is written.
Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping.
$ npx skills add affaan-m/ECC --skill homelab-vlan-segmentation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC homelab-vlan-segmentation --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/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/homelab-vlan-segmentation .claude/skills/homelab-vlan-segmentation && 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 "homelab-vlan-segmentation" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/homelab-vlan-segmentation into .claude/skills/homelab-vlan-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homelab-vlan-segmentation", 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/affaan-m/ECC/tree/main/skills/homelab-vlan-segmentationType 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 affaan-m/ECC --skill homelab-vlan-segmentation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC homelab-vlan-segmentation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/homelab-vlan-segmentation .agents/skills/homelab-vlan-segmentation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "homelab-vlan-segmentation" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/homelab-vlan-segmentation into .agents/skills/homelab-vlan-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homelab-vlan-segmentation", 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 affaan-m/ECC --skill homelab-vlan-segmentation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC homelab-vlan-segmentation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/homelab-vlan-segmentation .cursor/skills/homelab-vlan-segmentation && 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 "homelab-vlan-segmentation" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/homelab-vlan-segmentation into .cursor/skills/homelab-vlan-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homelab-vlan-segmentation", 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/affaan-m/ECC.git --path skills/homelab-vlan-segmentation--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 affaan-m/ECC --skill homelab-vlan-segmentation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC homelab-vlan-segmentation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/homelab-vlan-segmentation .gemini/skills/homelab-vlan-segmentation && 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 "homelab-vlan-segmentation" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/homelab-vlan-segmentation into .gemini/skills/homelab-vlan-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homelab-vlan-segmentation", 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 affaan-m/ECC homelab-vlan-segmentationInstalls 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 affaan-m/ECC --skill homelab-vlan-segmentation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/homelab-vlan-segmentation .github/skills/homelab-vlan-segmentation && 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 "homelab-vlan-segmentation" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/homelab-vlan-segmentation into .github/skills/homelab-vlan-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homelab-vlan-segmentation", 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 affaan-m/ECC --skill homelab-vlan-segmentation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install affaan-m/ECC homelab-vlan-segmentation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/homelab-vlan-segmentation .opencode/skills/homelab-vlan-segmentation && 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 "homelab-vlan-segmentation" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/homelab-vlan-segmentation into .opencode/skills/homelab-vlan-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homelab-vlan-segmentation", 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.
homelab-vlan-segmentationSegmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping.
Homelab Vlan Segmentation is an agent skill from affaan-m/ECC. Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping. Use when splitting a home network into IoT, guest, trusted, and server VLANs on UniFi, pfSense/OPNsense, or MikroTik.
Its SKILL.md is about 2.5k 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 DevOps & Cloud, covering Cloud networking. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.
Read from SKILL.md and the folder at commit 2d515e4. 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.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Homelab Vlan Segmentation loads about 2.5k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 274 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 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.
The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 274 words, ~2,540 tokens.
.claude/skills/homelab-vlan-segmentation/SKILL.md (or your agent's skills folder).How to split a home network into isolated VLANs so IoT devices, guests, and your main PCs cannot talk to each other. The most impactful security upgrade for a home network.
All firewall rules shown here add isolation between segments — they do not remove existing protections. Apply changes in a maintenance window and verify connectivity between segments after each step before moving on.
Without VLANs — flat network:
All devices on 192.168.1.0/24
Smart TV (potential malware) → can reach your NAS, PCs, everything
With VLANs:
VLAN 10 — Trusted 192.168.10.0/24 (PCs, phones, laptops)
VLAN 20 — IoT 192.168.20.0/24 (smart TV, bulbs, cameras)
VLAN 30 — Servers 192.168.30.0/24 (NAS, Pi, VMs)
VLAN 40 — Guest 192.168.40.0/24 (visitor Wi-Fi)
VLAN 99 — Management 192.168.99.0/24 (switch/AP web UIs)
Smart TV → blocked from reaching 192.168.10.0/24 and 192.168.30.0/24
Guests → internet only, cannot see any home devicesVLAN Name Subnet Gateway Purpose
10 trusted 192.168.10.0/24 192.168.10.1 PCs, phones, laptops
20 iot 192.168.20.0/24 192.168.20.1 Smart home devices
30 servers 192.168.30.0/24 192.168.30.1 NAS, Pi, self-hosted
40 guest 192.168.40.0/24 192.168.40.1 Visitor Wi-Fi
99 management 192.168.99.0/24 192.168.99.1 Network gear web UIsTypical homelab with UniFi AP and managed switch:
Scenario: 3-bedroom house, UniFi Dream Machine + UniFi 8-port switch + 2 APs
VLAN 10 — Trusted 192.168.10.0/24 MacBook, iPhones, iPad
VLAN 20 — IoT 192.168.20.0/24 Nest thermostat, Philips Hue, Ring doorbell, smart TVs
VLAN 30 — Servers 192.168.30.0/24 Synology NAS (192.168.30.10), Pi-hole (192.168.30.2)
VLAN 40 — Guest 192.168.40.0/24 Visitor Wi-Fi — internet only
SSID → VLAN mapping:
"Home" → VLAN 10 (WPA2, strong password, trusted devices only)
"IoT" → VLAN 20 (WPA2, separate password, printed on router for setup)
"Guest" → VLAN 40 (WPA2, simple password you can share freely)
Switch port behavior:
Port 1 → trunk to router (tagged VLANs 10,20,30,40,99)
Port 2 → trunk to APs (tagged VLANs 10,20,40; AP handles per-SSID tagging)
Port 3 → access VLAN 30 (NAS — untagged, no VLAN awareness needed)
Port 4 → access VLAN 30 (Pi-hole — untagged)
Port 5–8 → access VLAN 10 (wired workstations)
Firewall rules applied (all rules add isolation, none remove existing protections):
IoT → Trusted: BLOCK
IoT → Servers: BLOCK except 192.168.30.2:53 (Pi-hole DNS allowed)
IoT → Internet: ALLOW
Guest → Local networks: BLOCK
Guest → Internet: ALLOW
Trusted → everywhere: ALLOWSettings → Networks → Create New Network
For each VLAN:
Name: IoT
Purpose: Corporate (gives DHCP + routing)
VLAN ID: 20
Network: 192.168.20.0/24
Gateway IP: 192.168.20.1
DHCP: Enable
DHCP Range: 192.168.20.100 – 192.168.20.254Settings → WiFi → Create New WiFi
Name: IoT-Network
Password: <separate password>
Network: IoT ← select your VLAN here
# All devices connecting to this SSID land in VLAN 20
Name: Guest
Password: <guest password>
Network: Guest
Guest Policy: Enable ← isolates guests from each other tooSettings → Traffic & Security → Traffic Rules
# Block IoT from reaching Trusted VLAN
Action: Block
Category: Local Network
Source: IoT (192.168.20.0/24)
Destination: Trusted (192.168.10.0/24)
# Allow IoT to reach internet only
Action: Allow
Source: IoT
Destination: Internet
# Block Guest from all local networks
Action: Block
Source: Guest
Destination: Local NetworksInterfaces → Assignments → VLANs → Add
Parent Interface: em1 (your LAN NIC)
VLAN Tag: 20
Description: IoT
# Repeat for each VLAN, then assign each VLAN to an interface:
Interfaces → Assignments → Add
Select the VLAN you created → click Add
Enable the interface, set IP to gateway address (192.168.20.1/24)Services → DHCP Server → Select your VLAN interface
Enable DHCP
Range: 192.168.20.100 to 192.168.20.254
DNS Servers: 192.168.30.2 ← Pi-hole IP if you have one# Rules are processed top-to-bottom, first match wins.
# On the IoT interface (VLAN 20):
Rule 1: Allow IoT → Pi-hole DNS ← MUST come before the RFC1918 block rule
Protocol: UDP/TCP
Source: IoT net
Destination: 192.168.30.2 port 53
Action: Allow
Rule 2: Block IoT → RFC1918 (all private IP ranges)
Protocol: any
Source: IoT net
Destination: RFC1918 (192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12)
Action: Block
Rule 3: Allow IoT → internet
Protocol: any
Source: IoT net
Destination: any
Action: Allow
# On the Trusted interface (VLAN 10):
Allow all (trusted devices can reach everything)
Source: Trusted net
Destination: any
Action: Allow
# Additional exceptions for IoT devices that need specific local services:
Insert before Rule 2 (the RFC1918 block):
Protocol: TCP
Source: IoT net
Destination: 192.168.30.x port 8123 ← Home Assistant
Action: Allow# Step 1: Create a bridge with VLAN filtering enabled
/interface bridge
add name=bridge vlan-filtering=yes
# Step 2: Add physical ports to the bridge
# Trunk port to router/uplink (tagged for all VLANs)
/interface bridge port
add bridge=bridge interface=ether1 frame-types=admit-only-vlan-tagged
# Access port for trusted devices (untagged VLAN 10)
/interface bridge port
add bridge=bridge interface=ether2 pvid=10 frame-types=admit-only-untagged-and-priority-tagged
# Access port for IoT devices (untagged VLAN 20)
/interface bridge port
add bridge=bridge interface=ether3 pvid=20 frame-types=admit-only-untagged-and-priority-tagged
# Step 3: Define which VLANs are allowed on which ports
/interface bridge vlan
add bridge=bridge tagged=ether1 untagged=ether2 vlan-ids=10
add bridge=bridge tagged=ether1 untagged=ether3 vlan-ids=20
# Step 4: Create VLAN interfaces on the bridge (gateway IPs)
/interface vlan
add interface=bridge name=vlan10 vlan-id=10
add interface=bridge name=vlan20 vlan-id=20
# Step 5: Assign gateway IPs
/ip address
add interface=vlan10 address=192.168.10.1/24
add interface=vlan20 address=192.168.20.1/24
# Step 6: DHCP pools and servers
/ip pool
add name=pool-trusted ranges=192.168.10.100-192.168.10.254
add name=pool-iot ranges=192.168.20.100-192.168.20.254
/ip dhcp-server
add interface=vlan10 address-pool=pool-trusted name=dhcp-trusted
add interface=vlan20 address-pool=pool-iot name=dhcp-iot
/ip dhcp-server network
add address=192.168.10.0/24 gateway=192.168.10.1
add address=192.168.20.0/24 gateway=192.168.20.1
# Step 7: Firewall — block IoT from reaching trusted VLAN
/ip firewall filter
add chain=forward src-address=192.168.20.0/24 dst-address=192.168.10.0/24 \
action=drop comment="Block IoT to Trusted"# Trunk port: carries multiple VLANs (tagged) — connects switch-to-switch, switch-to-router, switch-to-AP
# Access port: carries one VLAN (untagged) — connects to end devices (PC, camera, NAS)
# A managed switch port connected to your router should be a trunk:
Allowed VLANs: 10, 20, 30, 40, 99
# A port connecting to a PC should be an access port:
VLAN: 10 (trusted)
No tagging — the PC does not know or care about VLANs
# A port connecting to an AP must be a trunk:
The AP tags traffic from each SSID with the right VLAN ID
Allowed VLANs: 10, 20, 40 (whichever SSIDs the AP serves)# BAD: Creating VLANs without adding firewall rules
# VLANs without firewall rules do not provide security — inter-VLAN routing is open by default
# GOOD: Add explicit block rules immediately after creating VLANs
# BAD: Putting the Pi-hole in the IoT VLAN
# IoT devices can reach it but trusted devices cannot (without extra rules)
# GOOD: Pi-hole in the Servers VLAN with a rule allowing all VLANs to reach port 53
# BAD: Native VLAN equals management VLAN
# Untagged traffic landing in your management VLAN enables VLAN hopping attacks
# GOOD: Use a dedicated unused VLAN as native (e.g. VLAN 999), keep management traffic tagged
# BAD: Same Wi-Fi password for IoT SSID and trusted SSID
# Anyone who learns the password can connect IoT devices to the wrong segment© affaan-m, 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/homelab-vlan-segmentation of affaan-m/ECC.
Open the folder on GitHubat commit 2d515e4
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.
Homelab Vlan Segmentation 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 |
|---|---|---|---|---|---|---|
| Homelab Vlan Segmentation this skillaffaan-m/ECC | 277k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Kubeshark KFL2 Filter Referencekubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Nginx To Higress Migrationhigress-group/higress | 9.5k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Bfe Rd Workflowbfenetworks/bfe | 6.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| NGINX Ingress Controller Feature Checklistsnginx/kubernetes-ingress | 5.1k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| NGINX Ingress Policy CRD Guidenginx/kubernetes-ingress | 5.1k | — | ~2k | Automated safety check: Pass | Apache-2.0 |
kubeshark/kubeshark
Syntax reference for KFL2, the CEL-based display filter language used to search Kubernetes network traffic captured by Kubeshark, loaded before any filter is written.
higress-group/higress
Migrate from ingress-nginx to Higress in Kubernetes environments.
bfenetworks/bfe
引导用户在 bfe 代码库中完成一次完整的功能研发流程,包括需求对齐、文档修改、代码实现、集成测试与回归验证. An agent skill from bfenetworks/bfe.
nginx/kubernetes-ingress
Gives step-by-step checklists for adding Ingress annotations, VirtualServer fields and Helm values to the NGINX Kubernetes Ingress Controller, with common gotchas.
nginx/kubernetes-ingress
Step-by-step checklist for adding a new Policy CRD type to the NGINX Ingress Controller, from the Go types and validation to config generation and templates.
erfnzdeh/arvancloud-agent-skill
Drives ArvanCloud's REST APIs for CDN, DNS, cloud servers, object storage and more, with helper scripts for calls, account inventory and certificates.
affaan-m/ECC
Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.
affaan-m/ECC
Ingests, indexes, searches, edits and monitors video, audio and live streams through the VideoDB Python SDK, returning stream links, clips and timestamps.
affaan-m/ECC
Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.
affaan-m/ECC
Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.
affaan-m/ECC
Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.
affaan-m/ECC
Set an ECC-specific frontend design direction for production UI work.
Categories
Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping. Homelab Vlan Segmentation is an agent skill from affaan-m/ECC. Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping.
Homelab Vlan Segmentation fits situations like: splitting a home network into IoT; server VLANs on UniFi; pfSense/OPNsense.
Run `npx skills add affaan-m/ECC --skill homelab-vlan-segmentation -a claude-code`. Or copy the skill folder (skills/homelab-vlan-segmentation in affaan-m/ECC) into .claude/skills/homelab-vlan-segmentation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add affaan-m/ECC --skill homelab-vlan-segmentation -a codex`. Or copy the skill folder (skills/homelab-vlan-segmentation in affaan-m/ECC) into .agents/skills/homelab-vlan-segmentation 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 affaan-m/ECC --skill homelab-vlan-segmentation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/homelab-vlan-segmentation, .gemini/skills/homelab-vlan-segmentation, .github/skills/homelab-vlan-segmentation and .opencode/skills/homelab-vlan-segmentation in your project.
SKILL.md names no scripts, command-line tools or credentials: Homelab Vlan Segmentation is instructions for the agent only.
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.
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.
Homelab Vlan Segmentation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k 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 Homelab Vlan Segmentation: Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars), Nginx To Higress Migration (higress-group/higress, 9.5k stars), Bfe Rd Workflow (bfenetworks/bfe, 6.3k stars) and NGINX Ingress Controller Feature Checklists (nginx/kubernetes-ingress, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.