Upload File
CheckedThis skill securely uploads files to cloud storage services like Dropbox or Google Drive, streamlining data integration workflows.
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 snaplogic/snaplogic-robotframework-examples --skill upload-file -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
snaplogic
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 snaplogic/snaplogic-robotframework-examples at b910cd1309.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b910cd1309
- Scanned
- 2 files, 652 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The upload-file skill allows AI agents to upload files to a specified destination. It facilitates transferring data from local storage or other sources into systems that require file uploads, such as cloud storage services or web applications. This is particularly useful for automating tasks involving document processing and data transfer.
When to use it
- Automating the submission of reports: Uploading generated reports directly to a company's reporting server.
- Transferring images/videos: Moving media files from a local directory to a cloud storage bucket for further processing or distribution.
- Uploading configuration files: Automatically deploying updated configuration files to servers.
- Submitting documents: Uploading application forms or other required documentation through a web interface.
Key capabilities
- File upload functionality
- Integration with various file sources
- Support for different file types (implied)
- Destination specification
Example prompts
- "Upload the 'report_2024.pdf' file to my Google Drive."
- "Transfer all images from the '/images' directory to AWS S3 bucket named 'my-bucket'."
- “Please upload this configuration file to the server at 192.168.1.100.”
Tips & gotchas
The skill requires appropriate credentials and permissions for accessing both the source file location and the destination where the file will be uploaded. Ensure these are configured correctly before use to avoid errors.