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Reviewing Ai Papers

Checked
oaustegard·vlatest·writing·MIT

Analyzes AI research papers for clarity, methodology soundness, and potential impact, offering targeted feedback.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add oaustegard/claude-skills --skill reviewing-ai-papers -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

oaustegard

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 oaustegard/claude-skills at 576f2c83f0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
576f2c83f0
Manifest
reviewing-ai-papers/SKILL.md
Scanned
4 files, 452 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The reviewing-ai-papers skill enables AI agents to systematically analyze, summarize, and critique academic or technical research papers. It automates the extraction of key findings, methodology evaluations, and potential biases from complex documents.

When to use it

  • Quickly digest lengthy research papers before team meetings or literature reviews.
  • Identify gaps in current research by comparing multiple paper summaries side-by-side.
  • Validate the credibility of sources by having the agent check for methodological flaws or logical inconsistencies.
  • Generate structured abstracts for internal knowledge bases without manual transcription.

Key capabilities

  • Full-text analysis of uploaded PDF or text-based research documents.
  • Automated extraction of core arguments, data points, and conclusions.
  • Critical evaluation of study design and statistical validity.
  • Comparative synthesis across multiple distinct papers within a single session.

Example prompts

  • "Review this preprint on quantum computing and summarize the proposed breakthroughs versus existing limitations."
  • "Analyze the methodology used in these three climate change studies and highlight any conflicting data interpretations."
  • "Extract the key experimental results from this paper and evaluate whether the sample size supports the author's claims."

Tips & gotchas

Ensure you upload high-quality, text-readable PDFs to avoid errors caused by poor OCR scans or complex formatting. While the agent can identify logical flaws, it cannot replace peer review for novel scientific discoveries; always verify critical findings with domain experts.