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.
git clone --depth 1 https://github.com/linhai0872/agno-agent-starterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/linhai0872/agno-agent-starter/models)<a href="https://agentmods.dev/rules/linhai0872/agno-agent-starter/models"><img src="https://agentmods.dev/badge/rules/linhai0872/agno-agent-starter/models/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/linhai0872/agno-agent-starter/models"><img src="https://agentmods.dev/badge/rules/linhai0872/agno-agent-starter/models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00000 | $0.00700 |
| Opus 5.5 | $0.00000 | $0.00280 |
| Sonnet 5.5 | $0.00000 | $0.00140 |
| Haiku 4.5 | $0.00000 | $0.00070 |
Grade A, and why
models scanned grade A with 0 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
模型配置规范
核心接口
使用 ModelConfig 统一配置，支持 8 大厂商。
基础配置
from app.models import ModelConfig, create_model
config = ModelConfig(
model_id="google/gemini-2.5-flash-preview-09-2025",
temperature=0.1,
max_tokens=16384,
)
model = create_model(config)
多厂商支持
from app.models import ModelConfig, ModelProvider
# OpenRouter（默认）
config = ModelConfig(model_id="google/gemini-2.5-flash-preview-09-2025")
# OpenAI 直连
config = ModelConfig(
provider=ModelProvider.OPENAI,
model_id="gpt-4o",
)
# Google Gemini 直连
config = ModelConfig(
provider=ModelProvider.GOOGLE,
model_id="gemini-2.5-flash",
)
# Anthropic Claude
config = ModelConfig(
provider=ModelProvider.ANTHROPIC,
model_id="claude-sonnet-4",
)
# 阿里云 DashScope
config = ModelConfig(
provider=ModelProvider.DASHSCOPE,
model_id="qwen-plus",
)
# 火山方舟
config = ModelConfig(
provider=ModelProvider.VOLCENGINE,
model_id="doubao-seed-1-6-251015",
)
# Ollama 本地
config = ModelConfig(
provider=ModelProvider.OLLAMA,
model_id="llama3.2:latest",
)
高级配置
from app.models import ReasoningConfig, WebSearchConfig
# 启用思考模式
config = ModelConfig(
model_id="google/gemini-2.5-flash-preview-09-2025",
reasoning=ReasoningConfig(enabled=True, effort="medium"),
)
# 启用网络搜索
config = ModelConfig(
model_id="google/gemini-2.5-flash-preview-09-2025",
web_search=WebSearchConfig(enabled=True),
)
API Key 优先级
from app.models import ModelConfig, ProjectConfig
# Agent 级（最高优先级）
config = ModelConfig(api_key_env="MY_AGENT_KEY")
# Project 级（Workflow/Team 共享）
project = ProjectConfig(api_key_env="MY_PROJECT_KEY")
model = create_model(config, project)
# Global 级（兜底）
# 使用环境变量 OPENROUTER_API_KEY
支持的厂商
| Provider | 说明 |
|---|---|
| OPENROUTER | 统一网关，100+ 模型 |
| OPENAI | GPT-4o, o1/o3 系列 |
| Gemini 2.5 系列 | |
| ANTHROPIC | Claude Sonnet 4, Opus 4 |
| DASHSCOPE | Qwen 系列 |
| VOLCENGINE | 豆包 Seed, DeepSeek |
| OLLAMA | 本地部署 |
| LITELLM | 统一网关 |
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.
- 1mo ago First seen · 117 lines · 0 tokens per session scan A fa149090b376
models is a cursor rule published in the GitHub repository linhai0872/agno-agent-starter (6 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 700 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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