Paper Analyzer
CheckedThis "Paper Analyzer" skill extracts key information from documents like research papers, boosting productivity and streamlining analysis.
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 zsyggg/paper-craft-skills --skill paper-analyzer -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
zsyggg
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 zsyggg/paper-craft-skills at 3be47a2a53.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3be47a2a53
- Manifest
- skills/paper-analyzer/SKILL.md
- Scanned
- 10 files, 788 lines
About this skill
paper-analyzer
What it does
The paper-analyzer skill is part of the paper-craft-skills collection, designed to equip AI agents with capabilities for processing and interpreting document-based information. It enables agents to extract insights from text-heavy inputs, facilitating tasks that require understanding structured or unstructured written content.
When to use it
- Document Summarization: Quickly condense long reports, research papers, or meeting notes into key takeaways.
- Data Extraction: Pull specific entities, dates, or metrics from invoices, contracts, or technical manuals.
- Content Analysis: Evaluate the tone, sentiment, or structural integrity of essays and articles.
- Research Assistance: Aid in reviewing literature by identifying core arguments and supporting evidence within provided texts.
Key capabilities
- Integration within the
paper-craft-skillssuite for specialized document handling. - Processing of text inputs to generate analytical outputs.
- Support for various document formats commonly found in research and business contexts.
Example prompts
- "Analyze this uploaded PDF report and summarize the main financial risks identified in section 4."
- "Extract all project deadlines and responsible team members from the attached project charter."
- "Review the provided article and list the three strongest arguments supporting the author's thesis."
Tips & gotchas
Ensure the input documents are clear, high-resolution scans or digital text files to maximize analysis accuracy. This skill is part of a broader craft suite; for complex multi-step document workflows, consider combining it with other complementary skills in the same collection.