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Review Spec

Checked
ferueda·vlatest·writing·MIT

Analyzes technical specifications to identify potential issues, inconsistencies, and areas needing clarification.

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 ferueda/agent-skills --skill review-spec -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

ferueda

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 ferueda/agent-skills at cd1d5758bc.

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

Commit
cd1d5758bc
Manifest
skills/review-spec/SKILL.md
Scanned
1 file, 49 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-spec skill allows an AI agent to analyze and provide feedback on technical specifications. It can identify potential issues, inconsistencies, or areas needing clarification within a specification document. The skill aims to improve the quality and accuracy of technical documentation through automated review processes.

When to use it

  • Technical Documentation Review: Before releasing new product features or updates, have the agent review the associated specifications for completeness and correctness.
  • Code Generation Input: Use the skill to check the clarity and feasibility of specifications before generating code from them.
  • Onboarding New Engineers: Provide new team members with a specification document and use the agent to highlight key areas and potential pitfalls.
  • Compliance Checks: Review specifications against industry standards or internal guidelines for adherence.

Key capabilities

  • Specification Analysis: Examines technical documents for errors and inconsistencies.
  • Feedback Generation: Provides suggestions for improvement based on analysis.
  • Automated Review: Streamlines the review process, reducing manual effort.

Example prompts

  • "Review this specification document for potential issues: [paste spec text]"
  • "Can you identify any ambiguous language in this technical specification? [paste spec text]"
  • “Check this specification against our internal coding standards and provide feedback.” [paste spec text]

Tips & gotchas

The quality of the review depends heavily on the clarity and completeness of the input specification. Complex or poorly written specifications may yield less accurate results.