Python Architect
CheckedDesigns robust Python backend architectures, including data models, APIs, and deployment strategies, based on project requirements.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add dmitriyyukhanov/agent-plugins --skill python-architect -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
dmitriyyukhanov
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned dmitriyyukhanov/claude-plugins at 5a36b749d8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5a36b749d8
- Scanned
- 1 file, 135 lines
About this skill
What it does
The python-architect skill allows you to execute Python code snippets within an AI agent context. It can be used for tasks ranging from simple calculations and data manipulation to more complex logic execution, enabling the agent to perform actions beyond its standard capabilities. This skill provides a secure environment for running user-provided Python code.
When to use it
- Data Transformation: Transform raw data into a usable format for further analysis or decision making within the AI agent's workflow.
- Calculations & Logic: Perform complex calculations, implement custom logic, or evaluate conditions that are not natively supported by the agent.
- Simple Automation: Automate repetitive tasks or interactions with external services through Python scripts.
- Prototyping: Quickly test and prototype new functionalities for your AI agent using short code snippets.
Key capabilities
- Executes Python code snippets
- Provides a secure execution environment
- Supports data manipulation and calculations
- Allows custom logic implementation
Example prompts
- "Calculate the factorial of 10."
- "Write a python script to reverse this string: 'hello world'."
- "Can you write a function that converts Celsius to Fahrenheit?"
Tips & gotchas
- The skill is designed for short, self-contained Python scripts. Complex projects requiring extensive dependencies are not supported.