workflows

workflows is a cursor rule for Cursor from linhai0872/agno-agent-starter. It costs 0 tokens per session (501 once invoked), scanned A, original, MIT.

A set of rules for building Agno workflows, which are programs that run tasks in defined steps and can choose between paths.

In plain words
What is it for?
It provides guidance and examples for workflow folders, agent steps, conditional branches, and choosing between an agent, a team, and a workflow.
Why use it?
It helps developers select and structure workflows correctly when a task needs ordered steps, multiple roles, or conditions.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit It provides guidance and examples for workflow folders, agent steps, conditional branches, and choosing between an agent, a team, and a workflow.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/linhai0872/agno-agent-starter/workflows
Install

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.

Clone the repo
git clone --depth 1 https://github.com/linhai0872/agno-agent-starter

Made for: Cursor.

Wrote 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.

agentmods badge for workflows

README.md
[![agentmods](https://agentmods.dev/badge/rules/linhai0872/agno-agent-starter/workflows/github.svg)](https://agentmods.dev/rules/linhai0872/agno-agent-starter/workflows)
Your own site
<a href="https://agentmods.dev/rules/linhai0872/agno-agent-starter/workflows"><img src="https://agentmods.dev/badge/rules/linhai0872/agno-agent-starter/workflows/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.

agentmods 80×15 button for workflows

Your own site · 80×15
<a href="https://agentmods.dev/rules/linhai0872/agno-agent-starter/workflows"><img src="https://agentmods.dev/badge/rules/linhai0872/agno-agent-starter/workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 501 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00501
Opus 5.5 $0.00000 $0.00200
Sonnet 5.5 $0.00000 $0.00100
Haiku 4.5 $0.00000 $0.00050

Measured 1mo ago against content hash 5531612712ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workflows 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.

.cursor/rules/workflows.mdc · 97 lines

What it actually says

Workflow 开发规范

何时使用

场景 推荐方案
单一任务,工具调用 Agent
多角色协作,共识决策 Team
严格步骤控制,条件分支 Workflow

目录结构

app/workflows/
├── __init__.py          # 注册入口
└── my_workflow.py       # Workflow 实现

Workflow 模板

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.workflow import Workflow
from agno.workflow.step import Step
from agno.workflow.condition import Condition
from app.models import ModelConfig, create_model

WORKFLOW_MODEL_CONFIG = ModelConfig(
    model_id="google/gemini-2.5-flash-preview-09-2025",
    temperature=0.2,
)

def create_my_workflow(db: PostgresDb) -> Workflow:
    researcher = Agent(
        name="Researcher",
        model=create_model(WORKFLOW_MODEL_CONFIG),
    )
    
    writer = Agent(
        name="Writer",
        model=create_model(WORKFLOW_MODEL_CONFIG),
    )
    
    return Workflow(
        id="my-workflow",
        db=db,
        steps=[
            Step(name="research", agent=researcher),
            Step(name="write", agent=writer),
        ],
    )

条件分支

from agno.workflow.types import StepInput

def needs_review(step_input: StepInput) -> bool:
    content = step_input.previous_step_content or ""
    return "statistics" in content.lower()

workflow = Workflow(
    steps=[
        research_step,
        Condition(
            name="review_condition",
            evaluator=needs_review,
            steps=[review_step],
        ),
        write_step,
    ],
)

注册

# app/workflows/__init__.py
from app.workflows.my_workflow import create_my_workflow
workflows.append(create_my_workflow(db))

关键组件

组件 说明
Step 单个步骤,包含 Agent 或 Team
Condition 条件分支,evaluator 返回 bool
Parallel 并行执行多个步骤
Changes

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.

  1. 1mo ago First seen · 97 lines · 0 tokens per session scan A 5531612712ae

Subscribe to this mod's changes

workflows 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 501 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.