A Python guide for building applications whose workflows can resume after failures and control concurrent work with DBOS. It covers workflows, individual steps, queues, communication, setup, client use, and testing.

Use it when adding DBOS to Python code, creating durable workflows and steps, controlling concurrency with queues, connecting workflow components, or testing DBOS applications.

It helps avoid losing progress or mishandling overlapping work when an application or one of its tasks fails. It also provides consistent patterns for connecting workflows and configuring DBOS.

dbos-python — Skill for Claude Code and Codex by tmolavi

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.

Any agent

npx skills add tmolavi/mcp-agent-skills-hub --skill dbos-python

Clone the repo

git clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hub

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/dbos-python.svg)](https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/dbos-python)

Your own site

<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/dbos-python"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/dbos-python.svg" alt="Measured on agentmods" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 703 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.00703
Opus 5	$0.00022	$0.00351
Sonnet 5	$0.00009	$0.00141
Haiku 4.5	$0.00004	$0.00070

Measured 3d ago against content hash 3cb189adf9c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

dbos-python scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

return requests.get("https://api.example.com").json()

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

dbos-python — 91% identical, 11 lines differ

skills/dbos-python/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DBOS Python Best Practices

Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows.

When to Use

Reference these guidelines when:

Adding DBOS to existing Python code
Creating workflows and steps
Using queues for concurrency control
Implementing workflow communication (events, messages, streams)
Configuring and launching DBOS applications
Using DBOSClient from external applications
Testing DBOS applications

Rule Categories by Priority

Priority	Category	Impact	Prefix
1	Lifecycle	CRITICAL	`lifecycle-`
2	Workflow	CRITICAL	`workflow-`
3	Step	HIGH	`step-`
4	Queue	HIGH	`queue-`
5	Communication	MEDIUM	`comm-`
6	Pattern	MEDIUM	`pattern-`
7	Testing	LOW-MEDIUM	`test-`
8	Client	MEDIUM	`client-`
9	Advanced	LOW	`advanced-`

Critical Rules

DBOS Configuration and Launch

A DBOS application MUST configure and launch DBOS inside its main function:

import os
from dbos import DBOS, DBOSConfig

@DBOS.workflow()
def my_workflow():
    pass

if __name__ == "__main__":
    config: DBOSConfig = {
        "name": "my-app",
        "system_database_url": os.environ.get("DBOS_SYSTEM_DATABASE_URL"),
    }
    DBOS(config=config)
    DBOS.launch()

Workflow and Step Structure

Workflows are comprised of steps. Any function performing complex operations or accessing external services must be a step:

@DBOS.step()
def call_external_api():
    return requests.get("https://api.example.com").json()

@DBOS.workflow()
def my_workflow():
    result = call_external_api()
    return result

Key Constraints

Do NOT call DBOS.start_workflow or DBOS.recv from a step
Do NOT use threads to start workflows - use DBOS.start_workflow or queues
Workflows MUST be deterministic - non-deterministic operations go in steps
Do NOT create/update global variables from workflows or steps

Read the full file on GitHub · 101 lines

Files

What ships with it

35 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

3d ago First seen · 101 lines · 43 tokens per session scan A 3cb189adf9c6

Subscribe to this mod's changes

dbos-python is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 11d ago), licensed MIT. It adds 43 tokens to every session and 703 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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