Homelab Vlan Segmentation
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.
Combine multiple segment detection results into a unified list.
Apache-2.0Auto-check passed
Install Segment Combiner
$ npx skills add benchflow-ai/skillsbench --skill segment-combiner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench segment-combiner --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/segment-combiner .claude/skills/segment-combiner && 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 "segment-combiner" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/segment-combiner into .claude/skills/segment-combiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segment-combiner", 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/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/segment-combinerType 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 benchflow-ai/skillsbench --skill segment-combiner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench segment-combiner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/segment-combiner .agents/skills/segment-combiner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "segment-combiner" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/segment-combiner into .agents/skills/segment-combiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segment-combiner", 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 benchflow-ai/skillsbench --skill segment-combiner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench segment-combiner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/segment-combiner .cursor/skills/segment-combiner && 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 "segment-combiner" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/segment-combiner into .cursor/skills/segment-combiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segment-combiner", 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/benchflow-ai/skillsbench.git --path tasks/video-silence-remover/environment/skills/segment-combiner--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 benchflow-ai/skillsbench --skill segment-combiner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench segment-combiner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/segment-combiner .gemini/skills/segment-combiner && 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 "segment-combiner" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/segment-combiner into .gemini/skills/segment-combiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segment-combiner", 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 benchflow-ai/skillsbench segment-combinerInstalls 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 benchflow-ai/skillsbench --skill segment-combiner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/segment-combiner .github/skills/segment-combiner && 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 "segment-combiner" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/segment-combiner into .github/skills/segment-combiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segment-combiner", 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 benchflow-ai/skillsbench --skill segment-combiner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench segment-combiner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/video-silence-remover/environment/skills/segment-combiner .opencode/skills/segment-combiner && 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 "segment-combiner" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/video-silence-remover/environment/skills/segment-combiner into .opencode/skills/segment-combiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segment-combiner", 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
segment-combiner- GitHub stars
- 1.8k
- Token cost
- ~411 tokens
- SKILL.md length
- 84 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 178
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Combine multiple segment detection results into a unified list.
- You need to merge segments from different detectors
- SKILL.md covers Use Cases, Usage, Dependencies and Example, plus 1 more section
- Runs Python scripts from its folder; calls python3
- Prepare removal lists for video processing
What it does
Segment Combiner is an agent skill from benchflow-ai/skillsbench. Combine multiple segment detection results into a unified list. Use when you need to merge segments from different detectors, prepare removal lists for video processing, or consolidate detection outputs.
Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/combine_segments.py`).
The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
When your agent uses it
- You need to merge segments from different detectors
- Prepare removal lists for video processing
- Consolidate detection outputs
Example prompts
- “/segment-combiner”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Segment Combiner loads about 411 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 84 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); the scripts in this folder are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 84 words, ~411 tokens.
Download SKILL.mdSave it as
.claude/skills/segment-combiner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- segment-combiner
- description
- Combine multiple segment detection results into a unified list. Use when you need to merge segments from different detectors, prepare removal lists for video processing, or consolidate detection outputs.
Segment Combiner
Combines multiple segment JSON files into a single unified segments file for video processing.
Use Cases
- Merging segments from multiple detectors
- Consolidating detection results
- Preparing unified input for video-processor
Usage
python3 /root/.claude/skills/segment-combiner/scripts/combine_segments.py \
--segments /path/to/segments1.json /path/to/segments2.json \
--output /path/to/all_segments.jsonParameters
--segments: One or more segment JSON files to combine--output: Path to output combined segments JSON
Input Format
Each input file should have a segments array:
{
"segments": [
{"start": 0, "end": 120, "duration": 120},
{"start": 300, "end": 305, "duration": 5}
]
}Output Format
{
"segments": [
{"start": 0, "end": 120, "duration": 120},
{"start": 300, "end": 305, "duration": 5}
],
"total_segments": 2,
"total_duration_seconds": 125
}Dependencies
- Python 3.11+
Example
# Combine segments from multiple detectors
python3 /root/.claude/skills/segment-combiner/scripts/combine_segments.py \
--segments initial_silence.json pauses.json \
--output all_segments.jsonNotes
- Segments are sorted by start time
- Compatible with video-processor --remove-segments input
- All input files must have
segmentsarray
© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in tasks/video-silence-remover/environment/skills/segment-combiner of benchflow-ai/skillsbench.
- SKILL.md
- scripts/combine_segments.py
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Segment Combiner 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 |
|---|---|---|---|---|---|---|
| Segment Combiner this skillbenchflow-ai/skillsbench | 1.8k | — | ~411 | Automated safety check: Pass | Apache-2.0 | |
| Homelab Vlan Segmentationaffaan-m/ECC | 275k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Threat Detectionalirezarezvani/claude-skills | 28k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Resemble Detectgithub/awesome-copilot | 40k | 3 repos | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Pii Detectruvnet/ruflo | 74k | 1 repos | ~350 | Automated safety check: Notes | MIT | |
| Detecting Dnp3 Protocol Anomaliesmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 |
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Questions about Segment Combiner
What does Segment Combiner do?
Combine multiple segment detection results into a unified list. Segment Combiner is an agent skill from benchflow-ai/skillsbench. Combine multiple segment detection results into a unified list.
When should I use Segment Combiner?
Segment Combiner fits situations like: you need to merge segments from different detectors; prepare removal lists for video processing; consolidate detection outputs.
How do I install Segment Combiner in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill segment-combiner -a claude-code`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/segment-combiner in benchflow-ai/skillsbench) into .claude/skills/segment-combiner in your project. Claude Code loads it when a task matches its description.
How do I install Segment Combiner in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill segment-combiner -a codex`. Or copy the skill folder (tasks/video-silence-remover/environment/skills/segment-combiner in benchflow-ai/skillsbench) into .agents/skills/segment-combiner in your project. Codex loads it when a task matches its description.
Can I use Segment Combiner 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 benchflow-ai/skillsbench --skill segment-combiner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/segment-combiner, .gemini/skills/segment-combiner, .github/skills/segment-combiner and .opencode/skills/segment-combiner in your project.
What does Segment Combiner need to run?
Going by SKILL.md and its folder, Segment Combiner needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Segment Combiner 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 Segment Combiner 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Segment Combiner use?
Segment Combiner is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Segment Combiner use?
About 411 tokens (SKILL.md is roughly 1.6k 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 Segment Combiner?
Skills that share tags, products or a category with Segment Combiner: Homelab Vlan Segmentation (affaan-m/ECC, 275k stars), Threat Detection (alirezarezvani/claude-skills, 28k stars), Resemble Detect (github/awesome-copilot, 40k stars) and Pii Detect (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Segment Combiner?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.