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 skills/diagrid-labs/dapr-skills/create-workflow-pythonnpx skills add diagrid-labs/dapr-skills --skill create-workflow-pythongit clone --depth 1 https://github.com/diagrid-labs/dapr-skillsWrote 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/skills/diagrid-labs/dapr-skills/create-workflow-python)<a href="https://agentmods.dev/skills/diagrid-labs/dapr-skills/create-workflow-python"><img src="https://agentmods.dev/badge/skills/diagrid-labs/dapr-skills/create-workflow-python.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.01548 |
| Opus 5 | $0.00023 | $0.00774 |
| Sonnet 5 | $0.00009 | $0.00310 |
| Haiku 4.5 | $0.00005 | $0.00155 |
Grade A, and why
create-workflow-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 4d 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.
5. List the available endpoints in the main.py file and provide examples how to call these using curl. Also include a link to the `local.http` file. How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Dapr Workflow Python Application
Overview
This skill describes how to create a Dapr Workflow application using Python.
Execution Order
You MUST follow these phases in strict order:
- Check specification - Check if the user specified what needs to be built.
- Project Setup — Create all files and folders.
- Verify — Verify that the project builds.
- Create README.md — Create a readme that summarizes what is built and how to run & test the application. Do not provide instructions at the end of this phase.
- Show final message - Your LAST output MUST be EXACTLY the message defined in the
## Show final messagesection. Do NOT add any other text, summary, or commentary after it.
Check specification
If you don't have enough context what to build, ask the user the following clarifying questions one by one using an interview style:
- What is the purpose of the workflow application?
- Describe how workflow should work. Which patterns should be used?
- Specify the input and output objects of the workflow.
- What's the name of this project? This will be used as the folder name. Don't use any spaces in this name.
Prerequisites
The following must be installed by the user before this skill can run:
- Python 3.12+
- uv (Astral)
- Docker or Podman
- Dapr CLI
Additional runtime dependencies (handled during project setup):
- Python package:
dapr-ext-workflowversion1.18.0(pulls indapr1.18.0) - Start the Diagrid Dev Dashboard:
docker run -p 8080:8080 ghcr.io/diagridio/diagrid-dashboard:latest
Project Setup
Create the project root folder inside the current location where the terminal is open:
What ships with it
1 file 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.
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.
- 4d ago First seen · 147 lines · 47 tokens per session scan A ef9567bbd993
create-workflow-python is a skill published in the GitHub repository diagrid-labs/dapr-skills (12 stars, last pushed 12d ago), licensed MIT. It adds 47 tokens to every session and 1,548 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 2026-08-30.
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