Docstring
OfficialGenerates comprehensive docstrings for Python code, improving readability and facilitating automated documentation generation.
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 pytorch/pytorch --skill docstring -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
pytorch
Matched to the vendor's own GitHub organisation.
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 pytorch/pytorch at edd4fc2d34.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- edd4fc2d34
- Scanned
- 1 file, 324 lines
About this skill
What it does
This skill provides access to documentation strings (docstrings) associated with Python code. It can extract and present these docstrings, offering explanations of functions, classes, modules, and methods directly within an AI agent's workflow. This allows for on-demand understanding of code functionality without needing to consult external documentation sources.
When to use it
- Debugging: Quickly understand the purpose and parameters of a function during troubleshooting.
- Learning new libraries: Explore the capabilities of unfamiliar Python packages by examining their docstrings.
- Code generation assistance: Use docstring information to guide the creation of new code snippets or functions.
- API integration: Understand how to use specific API calls and methods through their associated documentation.
Key capabilities
- Retrieves docstrings from Python objects (functions, classes, modules).
- Provides explanations of object parameters and return values.
- Supports various levels of detail in the retrieved information.
Example prompts
- "Show me the docstring for
torch.Tensor." - "What does the
backward()method do?" - "Explain the purpose of the
nn.Linearclass."
Tips & gotchas
- The skill relies on valid Python code being available to extract docstrings from. It may not work with incomplete or syntactically incorrect code.