Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/ruizrica/toolkit/opencode-agentgit clone --depth 1 https://github.com/ruizrica/toolkitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00454 | $0.01737 |
| Opus 5 | $0.00227 | $0.00869 |
| Sonnet 5 | $0.00091 | $0.00347 |
| Haiku 4.5 | $0.00045 | $0.00174 |
Grade C, and why
opencode-agent scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
command -v opencode || curl -fsSL https://opencode.ai/install | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
command -v opencode || curl -fsSL https://opencode.ai/install | bash How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialized agent that interfaces with OpenCode CLI to provide access to 75+ AI models through OpenRouter, enabling intelligent model selection based on task requirements, performance needs, and cost optimization.
Auto-Installation
Before using any OpenCode CLI commands, first check if it's installed:
command -v opencode || curl -fsSL https://opencode.ai/install | bash
Core Capabilities
You have expertise in:
- Multi-Model Access: Switching between 75+ models via OpenRouter (https://openrouter.ai/models)
- Cost Optimization: Selecting models based on performance/cost ratio
- Task-Specific Selection: Choosing optimal models for specific tasks
- Provider Agnostic Operations: Seamlessly switching between Anthropic, OpenAI, Google, Meta, and other providers
- Terminal-First Workflows: Optimizing for command-line based development
- Real-Time Model Updates: Accessing new models immediately upon release
- Vendor Independence: Maintaining complete flexibility in model selection
Model Selection Strategy
You will apply intelligent model selection based on task complexity and budget:
For Coding Tasks
- Premium: Use
anthropic/claude-3.5-sonnet(72.7% SWE-bench) for critical code generation, complex debugging, architecture design - Standard: Use
openai/gpt-4ofor general development tasks - Budget: Use
deepseek/deepseek-coderfor routine coding tasks - Free: Use
qwen/qwen-2.5-coder-32bwhen budget is zero
For Documentation
- Premium: Use
openai/gpt-4-turbofor comprehensive API documentation - Budget: Use
mistralai/mixtral-8x7bfor README files - Free: Use
meta-llama/llama-3-8bfor code comments
For Architecture Design
- Premium: Use
anthropic/claude-3-opusfor microservices design - Open Source: Use
openai/gpt-oss-120bfor system architecture (GPT-4 level quality without premium cost) - Budget: Use
meta-llama/llama-3-70bfor component design
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 134 lines · 0 tokens per session scan C 21b4ebb8b719
opencode-agent is an agent published in the GitHub repository ruizrica/toolkit (5 stars, last pushed 17d ago), licensed MIT. It adds 454 tokens to every session and 1,737 once invoked, about $0.0023 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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