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shiqkuangsan/tooyoung:easy-openrouter

Name: tooyoung:easy-openrouter
Author: shiqkuangsan

skills/easy-openrouter/SKILL.md

npx skillsauth add shiqkuangsan/oh-my-daily-skills tooyoung:easy-openrouter

Clean

TrivyContainer and dependency vulnerability scanner

Clean

SemgrepStatic code analysis for vulnerabilities

Clean

mcp-scan (Snyk)Model Context Protocol security validation

Skipped

Snyk (dep)Open source security scanning

Skipped

Socket.devSupply chain security analysis

Skipped

VirusTotalMulti-engine malware detection

Skipped

CrowdStrikeAdvanced threat intelligence

Skipped

OSV-ScannerOpen Source Vulnerability database check

Skipped

OWASP Dep-Check

Easy OpenRouter

Quickly test LLM models and find the best one for your task.

Prerequisites

export OPENROUTER_API_KEY="sk-or-v1-xxxx"

Quick Model Testing

Use scripts/call_openrouter.sh:

# Basic test
bash scripts/call_openrouter.sh \
  --model "anthropic/claude-sonnet-4" \
  --prompt "Explain quantum computing in one sentence" \
  --json

# With parameters
bash scripts/call_openrouter.sh \
  --model "openai/gpt-4o" \
  --prompt "Write a haiku about code" \
  --max-tokens 100 \
  --temperature 0.7 \
  --json

Output includes: response time (ms), cost ($), token usage, full response

Parameters:

--model: Model ID (required)
--prompt: Prompt text (required)
--system: System prompt (optional)
--max-tokens: Max tokens
--temperature: Temperature 0.0-2.0
--json: JSON output

Model Naming Format

provider/model-name[:modifier]

Common models:

anthropic/claude-sonnet-4
openai/gpt-4o
openai/gpt-4o-mini
google/gemini-2.0-flash-001
deepseek/deepseek-chat

Modifiers:

:nitro - Use fastest provider
:online - Enable web search
Combinable: anthropic/claude-sonnet-4:nitro:online

Find Optimal Models

Find Best Model by Category (Rankings)

https://openrouter.ai/rankings?category=<category>#categories

| Category | URL | | ----------- | ------------------------------------------------------------------ | | Programming | https://openrouter.ai/rankings?category=programming#categories | | Translation | https://openrouter.ai/rankings?category=translation#categories | | Science | https://openrouter.ai/rankings?category=science#categories | | Finance | https://openrouter.ai/rankings?category=finance#categories | | Legal | https://openrouter.ai/rankings?category=legal#categories | | Academia | https://openrouter.ai/rankings?category=academia#categories | | Marketing | https://openrouter.ai/rankings?category=marketing#categories | | SEO | https://openrouter.ai/rankings?category=marketing/seo#categories |

Find Provider by Performance/Price

https://openrouter.ai/<model-slug>/providers?sort=<sort>

Sort options:

throughput - By throughput (tokens/sec)
latency - By latency
price - By price

Example: Find fastest provider for claude-sonnet-4

https://openrouter.ai/anthropic/claude-sonnet-4/providers?sort=throughput

Get Full Model List

curl -s https://openrouter.ai/api/v1/models \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  | jq '.data | sort_by(.pricing.prompt) | .[:10] | .[].id'
# Output: top 10 cheapest models

Typical Workflows

1. Quick Model Comparison

# Test Claude
bash scripts/call_openrouter.sh --model "anthropic/claude-sonnet-4" --prompt "Explain microservices architecture" --json > claude.json

# Test GPT-4o
bash scripts/call_openrouter.sh --model "openai/gpt-4o" --prompt "Explain microservices architecture" --json > gpt4o.json

# Compare results
jq -s '[.[0], .[1]] | map({model, response_time_ms, cost})' claude.json gpt4o.json

2. Find Best Model for Programming Tasks

Open https://openrouter.ai/rankings?category=programming#categories
Note the top-ranked models
Test actual performance with the script

3. Choose Model for Chainlit Demo

Considerations:

For demos: Prioritize speed → use :nitro modifier
Cost-sensitive: Use gpt-4o-mini or deepseek-chat
Quality-first: Use claude-sonnet-4 or gpt-4o

Advanced

For API details, query OpenRouter documentation via Context7.

shiqkuangsan/tooyoung:easy-openrouter

skills/easy-openrouter/SKILL.md

Test individual LLM models through OpenRouter and compare observed latency, cost, token usage, and outputs. Includes model ID format, :nitro/:online modifiers, rankings/provider lookup, and simple manual comparison workflows. Trigger words: OpenRouter, test model, model ID, compare models, provider latency, throughput, cheapest provider, fastest provider, :nitro, :online

15 stars

development

Updated May 16, 2026

$ install --global

skillsauth

npx skillsauth add shiqkuangsan/oh-my-daily-skills tooyoung:easy-openrouter

Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.

Security Scan Results

3 of 9 scanners reported clean

Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.

Scanners Passed

Scanners in report

Clean

TrivyContainer and dependency vulnerability scanner

95%

Clean

SemgrepStatic code analysis for vulnerabilities

95%

Clean

mcp-scan (Snyk)Model Context Protocol security validation

95%

Skipped

Snyk (dep)Open source security scanning

50%

Skipped

Socket.devSupply chain security analysis

50%

Skipped

VirusTotalMulti-engine malware detection

50%

Skipped

CrowdStrikeAdvanced threat intelligence

50%

Skipped

OSV-ScannerOpen Source Vulnerability database check

50%

Skipped

OWASP Dep-Check

50%

Last scanned: May 16, 2026, 4:43 AM153.6s2 files scanned

SKILL.md

name:: tooyoung:easy-openrouter
description:: Test individual LLM models through OpenRouter and compare observed latency, cost, token usage, and outputs. Includes model ID format, :nitro/:online modifiers, rankings/provider lookup, and simple manual comparison workflows. Trigger words: OpenRouter, test model, model ID, compare models, provider latency, throughput, cheapest provider, fastest provider, :nitro, :online
version:: 1.0.1

Easy OpenRouter

Quickly test LLM models and find the best one for your task.

Prerequisites

export OPENROUTER_API_KEY="sk-or-v1-xxxx"

Quick Model Testing

Use scripts/call_openrouter.sh:

# Basic test
bash scripts/call_openrouter.sh \
  --model "anthropic/claude-sonnet-4" \
  --prompt "Explain quantum computing in one sentence" \
  --json

# With parameters
bash scripts/call_openrouter.sh \
  --model "openai/gpt-4o" \
  --prompt "Write a haiku about code" \
  --max-tokens 100 \
  --temperature 0.7 \
  --json

Output includes: response time (ms), cost ($), token usage, full response

Parameters:

--model: Model ID (required)
--prompt: Prompt text (required)
--system: System prompt (optional)
--max-tokens: Max tokens
--temperature: Temperature 0.0-2.0
--json: JSON output

Model Naming Format

provider/model-name[:modifier]

Common models:

anthropic/claude-sonnet-4
openai/gpt-4o
openai/gpt-4o-mini
google/gemini-2.0-flash-001
deepseek/deepseek-chat

Modifiers:

:nitro - Use fastest provider
:online - Enable web search
Combinable: anthropic/claude-sonnet-4:nitro:online

Find Optimal Models

Find Best Model by Category (Rankings)

https://openrouter.ai/rankings?category=<category>#categories

Find Provider by Performance/Price

https://openrouter.ai/<model-slug>/providers?sort=<sort>

Sort options:

throughput - By throughput (tokens/sec)
latency - By latency
price - By price

Example: Find fastest provider for claude-sonnet-4

https://openrouter.ai/anthropic/claude-sonnet-4/providers?sort=throughput

Get Full Model List

curl -s https://openrouter.ai/api/v1/models \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  | jq '.data | sort_by(.pricing.prompt) | .[:10] | .[].id'
# Output: top 10 cheapest models

Typical Workflows

1. Quick Model Comparison

# Test Claude
bash scripts/call_openrouter.sh --model "anthropic/claude-sonnet-4" --prompt "Explain microservices architecture" --json > claude.json

# Test GPT-4o
bash scripts/call_openrouter.sh --model "openai/gpt-4o" --prompt "Explain microservices architecture" --json > gpt4o.json

# Compare results
jq -s '[.[0], .[1]] | map({model, response_time_ms, cost})' claude.json gpt4o.json

2. Find Best Model for Programming Tasks

Open https://openrouter.ai/rankings?category=programming#categories
Note the top-ranked models
Test actual performance with the script

3. Choose Model for Chainlit Demo

Considerations:

For demos: Prioritize speed → use :nitro modifier
Cost-sensitive: Use gpt-4o-mini or deepseek-chat
Quality-first: Use claude-sonnet-4 or gpt-4o

Advanced

For API details, query OpenRouter documentation via Context7.

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Download

For Claude Desktop. Download once, then upload the file in the app — no terminal needed.

Need help? View full Cowork setup guide →

Install manually

Choose your platform

# Clone the repo
git clone https://github.com/shiqkuangsan/oh-my-daily-skills.git

# Copy into Claude Code skills folder (global)
cp -r oh-my-daily-skills/skills/easy-openrouter ~/.claude/skills/

Claude Code Skills — official skills path docs.

Repository

shiqkuangsan/oh-my-daily-skills

15 stars

Compatible with

Claude Code

OpenAI Codex CLI

ChatGPT