Agent skill

Test Model

Test a model end-to-end using the xybrid execution system. An agent skill from xybrid-ai/xybrid.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Test Model

skills CLI

$ npx skills add xybrid-ai/xybrid --skill test-model -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install xybrid-ai/xybrid test-model --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/xybrid-ai/xybrid.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/test-model .claude/skills/test-model && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "test-model" agent skill from https://github.com/xybrid-ai/xybrid/tree/master/.agents/skills/test-model into .claude/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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

$skill-installer install https://github.com/xybrid-ai/xybrid/tree/master/.agents/skills/test-model

Type 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.

skills CLI

$ npx skills add xybrid-ai/xybrid --skill test-model -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install xybrid-ai/xybrid test-model --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/xybrid-ai/xybrid.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/test-model .agents/skills/test-model && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "test-model" agent skill from https://github.com/xybrid-ai/xybrid/tree/master/.agents/skills/test-model into .agents/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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.

skills CLI

$ npx skills add xybrid-ai/xybrid --skill test-model -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install xybrid-ai/xybrid test-model --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/xybrid-ai/xybrid.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/test-model .cursor/skills/test-model && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "test-model" agent skill from https://github.com/xybrid-ai/xybrid/tree/master/.agents/skills/test-model into .cursor/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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

$ gemini skills install https://github.com/xybrid-ai/xybrid.git --path .agents/skills/test-model

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add xybrid-ai/xybrid --skill test-model -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install xybrid-ai/xybrid test-model --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/xybrid-ai/xybrid.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/test-model .gemini/skills/test-model && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "test-model" agent skill from https://github.com/xybrid-ai/xybrid/tree/master/.agents/skills/test-model into .gemini/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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.

GitHub CLI

$ gh skill install xybrid-ai/xybrid test-model

Installs 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).

skills CLI

$ npx skills add xybrid-ai/xybrid --skill test-model -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/xybrid-ai/xybrid.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/test-model .github/skills/test-model && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "test-model" agent skill from https://github.com/xybrid-ai/xybrid/tree/master/.agents/skills/test-model into .github/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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.

skills CLI

$ npx skills add xybrid-ai/xybrid --skill test-model -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install xybrid-ai/xybrid test-model --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/xybrid-ai/xybrid.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/test-model .opencode/skills/test-model && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "test-model" agent skill from https://github.com/xybrid-ai/xybrid/tree/master/.agents/skills/test-model into .opencode/skills/test-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-model", 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: test-model
GitHub stars: 467
Token cost: ~1.3k tokens
SKILL.md length: 479 words
Files: 1
Skills in repo: 2
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Test a model end-to-end using the xybrid execution system. An agent skill from xybrid-ai/xybrid.

Works in 7 steps: Locate the Model → Validate model_metadata.json → Determine Test Strategy → …
Tasks that involve Speech recognition and synthesis
SKILL.md covers Step 1: Locate the Model, Step 2: Validate…, Step 3: Determine Test Strategy and Step 4: Find or Create Test…, plus 4 more sections
Calls cargo

What it does

Test Model is an agent skill from xybrid-ai/xybrid. Test a model end-to-end using the xybrid execution system.

Its SKILL.md is about 1.3k 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 AI & LLM Engineering, covering Speech recognition and synthesis. It works with llama.cpp, ONNX, Ollama and Kotlin. The repository describes itself as: Cross-platform on-device AI toolkit. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Speech recognition and synthesis

Example prompts

“/test-model”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

Locate the Model
Validate model_metadata.json
Determine Test Strategy
Find or Create Test Example
Run the Test
Validate Output
Report Results

What it can do on your machine

Read from SKILL.md and the folder at commit 56c3212. 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
Shell commands in SKILL.md call:
- cargo
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

Test Model loads about 1.3k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~17
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

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 xybrid-ai/xybrid at commit 56c3212, republished under its Apache-2.0 licence (© xybrid-ai). 479 words, ~1,344 tokens.

Download SKILL.mdSave it as .claude/skills/test-model/SKILL.md (or your agent's skills folder).

name: test-model
description: Test a model end-to-end using the xybrid execution system.

Test a model end-to-end using the xybrid execution system.

The user should specify which model to test (e.g., "test kokoro-82m" or "test the TTS model").

Input: $ARGUMENTS (optional — model name or path to model directory)

Step 1: Locate the Model

If $ARGUMENTS is provided, use it to find the model. Otherwise ask which model to test.

Search for the model in these locations (in order):

Direct path if $ARGUMENTS is a directory path
integration-tests/fixtures/models/{name}/
~/.xybrid/cache/{name}/
Current directory

Verify that model_metadata.json exists in the model directory.

Step 2: Validate model_metadata.json

Read model_metadata.json and check:

All files listed in files array exist in the model directory
model_file in execution_template points to an actual file
JSON is valid and has required fields (model_id, version, execution_template, files)
Preprocessing/postprocessing types are valid enum values

If any check fails, report the specific issue and suggest how to fix it.

Step 3: Determine Test Strategy

Based on the execution_template.type and metadata.task:

Task	Input	Expected Output	Feature Flags
`text-to-speech`	`Envelope::Text("Hello world")`	Audio bytes (length > 0)	default
`speech-recognition` (Onnx)	`Envelope::Audio(wav_bytes)`	Text transcription	default
`speech-recognition` (GgmlWhisper)	`Envelope::Audio(wav_bytes)`	Text transcription	`asr-whispercpp` (in every `platform-*` preset)
`speech-recognition` (SafeTensors)	`Envelope::Audio(wav_bytes)`	Text transcription	`candle,candle-metal` — opt-in only; no preset enables Candle
`text-generation` (Gguf)	`Envelope::Text("Hello")`	Text response	`llm-llamacpp`
`text-embedding`	`Envelope::Text("test sentence")`	Embedding vector (f32)	default
`image_classification`	Raw image bytes	Class probabilities	default

Step 4: Find or Create Test Example

Check for an existing example in crates/xybrid-core/examples/ that matches the model.

If no example exists, create a minimal one at crates/xybrid-core/examples/{model_id}_test.rs:

rust

//! Test example for {model_id}
use std::collections::HashMap;
use std::path::PathBuf;
use xybrid_core::execution::{ModelMetadata, TemplateExecutor};
use xybrid_core::ir::{Envelope, EnvelopeKind};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let model_dir = PathBuf::from("integration-tests/fixtures/models/{model_id}");
    let metadata_path = model_dir.join("model_metadata.json");
    let metadata: ModelMetadata = serde_json::from_str(&std::fs::read_to_string(&metadata_path)?)?;

    let mut executor = TemplateExecutor::with_base_path(model_dir.to_str().unwrap());

    // Create appropriate input based on model task
    let input = Envelope {
        kind: EnvelopeKind::Text("Hello world".into()), // adjust per task
        metadata: HashMap::new(),
    };

    // Third arg is an optional `&GenerationConfig` override.
    let output = executor.execute(&metadata, &input, None)?;
    println!("Output: {:?}", output.kind);
    println!("Test passed!");
    Ok(())
}

Adjust the input type based on the model task (Text for TTS/LLM/embedding, Audio for ASR).

Step 5: Run the Test

Run from the repos/xybrid/ directory (or the repo root if that's where Cargo.toml is):

bash

cargo run --example {example_name} -p xybrid-core --features {features}

Add feature flags based on the model type (see table in Step 3).

Show full SKILL.md (180 more words)Show less

Step 6: Validate Output

Check the output based on model type:

TTS: Output should be EnvelopeKind::Audio(bytes) with bytes.len() > 0. Optionally save to output.wav for manual listening.
ASR: Output should be EnvelopeKind::Text(transcription) with non-empty text.
LLM: Output should be EnvelopeKind::Text(response) with non-empty text.
Embedding: Output should be EnvelopeKind::Embedding(vec) with expected dimensionality.
Classification: Output should contain class probabilities or indices.

Step 7: Report Results

Print a summary:

Model: {model_id}
Task:  {task}
Input: {input_type}
Output: {output_summary}
Status: PASS / FAIL

{If FAIL: specific error message and suggestion}

Common Issues

"model_metadata.json not found": Check the model directory path
"file not found": A file listed in files array doesn't exist — download it or fix the path
"preprocessing failed": Wrong preprocessing step for the model type
"ONNX error": Model file may be corrupted or wrong format
"SafeTensors execution requires the 'candle' feature": the bundle is a Candle/SafeTensors model and no platform-* preset enables Candle any more. Either add --features candle explicitly, or switch to the GGML bundle (ExecutionTemplate::GgmlWhisper) that runs on asr-whispercpp — e.g. whisper-tiny-ggml instead of whisper-tiny.
"feature not enabled": Add the required feature flag (e.g. --features asr-whispercpp for GGML Whisper, --features candle for SafeTensors)
"llm backend not available": Add --features llm-llamacpp for GGUF models

Files

Just SKILL.md in .agents/skills/test-model of xybrid-ai/xybrid.

Open the folder on GitHubat commit 56c3212

Compare with similar skills

Test Model 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.

Test Model compared with similar skills
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Test Model this skillxybrid-ai/xybrid	467	—	~1.3k	Automated safety check: Pass	Apache-2.0	yesterday
Model ScoutRisorseArtificiali/anti-vocale	117	—	~2.9k	Automated safety check: Pass	Apache-2.0	today
Community Model ConversionRisorseArtificiali/anti-vocale	117	—	~2.2k	Automated safety check: Pass	Apache-2.0	today
Aider DelegateamElnagdy/delegate-skills	2.3k	2 repos	~3k	Automated safety check: Pass	MIT	2 days ago
Mobilerun Docs Referencedroidrun/mobilerun	9.6k	—	~943	Automated safety check: Pass	MIT	4 days ago
Hugging Face LLM Trainerhuggingface/skills	11k	1 repos	~7.2k	Automated safety check: Pass	Apache-2.0	yesterday

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Questions about Test Model

What does Test Model do?

Test a model end-to-end using the xybrid execution system. An agent skill from xybrid-ai/xybrid. Test Model is an agent skill from xybrid-ai/xybrid. Test a model end-to-end using the xybrid execution system.

When should I use Test Model?

Test Model fits situations like: tasks that involve Speech recognition and synthesis.

How do I install Test Model in Claude Code?

Run `npx skills add xybrid-ai/xybrid --skill test-model -a claude-code`. Or copy the skill folder (.agents/skills/test-model in xybrid-ai/xybrid) into .claude/skills/test-model in your project. Claude Code loads it when a task matches its description.

How do I install Test Model in Codex?

Run `npx skills add xybrid-ai/xybrid --skill test-model -a codex`. Or copy the skill folder (.agents/skills/test-model in xybrid-ai/xybrid) into .agents/skills/test-model in your project. Codex loads it when a task matches its description.

Can I use Test Model 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 xybrid-ai/xybrid --skill test-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-model, .gemini/skills/test-model, .github/skills/test-model and .opencode/skills/test-model in your project.

What does Test Model need to run?

Going by SKILL.md and its folder, Test Model needs the command-line tools its instructions call (cargo).

Does Test Model 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 Test Model 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 Test Model use?

Test Model 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 Test Model use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 Test Model?

Skills that share tags, products or a category with Test Model: Model Scout (RisorseArtificiali/anti-vocale, 117 stars), Community Model Conversion (RisorseArtificiali/anti-vocale, 117 stars), Aider Delegate (amElnagdy/delegate-skills, 2.3k stars) and Mobilerun Docs Reference (droidrun/mobilerun, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Model?

xybrid-ai (a GitHub organization) maintains it in xybrid-ai/xybrid, which has 467 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 8, 2026.

Source: xybrid-ai/xybrid on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Test Model

Install Test Model

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Step 1: Locate the Model

Step 2: Validate model_metadata.json

Step 3: Determine Test Strategy

Step 4: Find or Create Test Example

Step 5: Run the Test

Step 6: Validate Output

Step 7: Report Results

Common Issues

Files

Compare with similar skills

Similar skills

Model Scout

Community Model Conversion

Aider Delegate

Mobilerun Docs Reference

Hugging Face LLM Trainer

Add Model

More from xybrid-ai/xybrid

Xybrid Init

Questions about Test Model

Install Test Model

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Step 1: Locate the Model

Step 2: Validate model_metadata.json

Step 3: Determine Test Strategy

Step 4: Find or Create Test Example

Step 5: Run the Test

Step 6: Validate Output

Step 7: Report Results

Common Issues

Files

Compare with similar skills

Similar skills

Model Scout

Community Model Conversion

Aider Delegate

Mobilerun Docs Reference

Hugging Face LLM Trainer

Add Model

More from xybrid-ai/xybrid

Xybrid Init

Related

Questions about Test Model