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Review Recipient

Checked
qodex-ai·vlatest·ai-ml

Identifies and extracts recipient details from documents using advanced OCR and AI analysis.

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 qodex-ai/ai-agent-skills --skill review-recipient -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

qodex-ai

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 qodex-ai/ai-agent-skills at 6ea9f00885.

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

Commit
6ea9f00885
Manifest
skills/review-recipient/SKILL.md
Scanned
1 file, 187 lines
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

What it does

The review-recipient skill allows an AI agent to process and understand feedback received from a reviewer. It can extract key points, categorize sentiments (positive, negative, neutral), and summarize the overall assessment of a piece of work or performance. This helps users quickly grasp the essence of reviews without needing to read lengthy text.

When to use it

  • Summarizing customer feedback: Quickly understand common themes from online product reviews.
  • Analyzing employee performance reviews: Extract key areas for improvement and strengths from formal assessments.
  • Processing academic paper reviews: Identify recurring suggestions for revisions from peer reviewers.
  • Evaluating creative work: Get a concise overview of critiques on artwork, writing samples, or design prototypes.

Key capabilities

  • Sentiment analysis (positive, negative, neutral)
  • Key point extraction
  • Review summarization

Example prompts

  • "Summarize this review: [paste review text]"
  • "What are the main points and sentiment of this feedback?"
  • "Extract key suggestions for improvement from this reviewer's comments."

Tips & gotchas

The quality of the summary depends heavily on the clarity and detail provided in the original review. Very short or vague reviews may yield less informative results.