Analyze With File
CheckedAnalyzes data within uploaded files (CSV, TXT, etc.) to extract insights and generate reports based on specified criteria.
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 catlog22/claude-code-workflow --skill analyze-with-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
catlog22
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 catlog22/claude-code-workflow at 07491b04ac.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 07491b04ac
- Scanned
- 1 file, 849 lines
About this skill
The analyze-with-file skill enables AI agents to read and process local files directly from the user's filesystem. It allows the agent to ingest text, code, or data from specified paths to perform immediate analysis without external API calls.
When to use it
- Reviewing a specific source code file for bugs or architectural issues before refactoring.
- Parsing a CSV or JSON log file to summarize error patterns or extract key metrics.
- Loading a requirements.txt or package.json file to understand project dependencies.
- Analyzing a markdown documentation file to check for consistency or missing sections.
Key capabilities
- Reads content from files located on the local machine.
- Accepts specific file paths as input parameters.
- Returns the full text content of the file to the agent context.
- Supports various common file formats including code, logs, and data files.
Example prompts
- "Read
src/main.pyand explain the logic of the data processing pipeline." - "Analyze
logs/error_2023.logand list the top three recurring error messages." - "Load
requirements.txtand tell me which Python versions are supported by this project."
Tips & gotchas
Ensure the file path provided is absolute or correctly relative to your current working directory, as the agent cannot access files outside its granted scope. This skill relies on local filesystem access; it will not work if the agent lacks permission to read the specific directory.