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Safe Review

Checked
skala-io·vlatest·security·Apache-2.0

Skala-IO's safe-review analyzes code & data for potential security vulnerabilities and privacy risks proactively.

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 skala-io/legal-skills --skill safe-review -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

skala-io

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 skala-io/legal-skills at c016257712.

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

Commit
c016257712
Manifest
skills/safe-review/SKILL.md
Scanned
1 file, 347 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 safe-review skill provides automated legal safety reviews of text. It identifies potentially problematic language, such as defamation or privacy violations, and suggests revisions to mitigate risk. This helps ensure content aligns with legal standards and minimizes potential liability.

When to use it

  • Reviewing marketing materials for potentially misleading claims.
  • Analyzing internal communications for sensitive information disclosures.
  • Checking user-generated content on a platform for inappropriate language.
  • Assessing the legal risk of blog posts or articles before publication.

Key capabilities

  • Defamation detection
  • Privacy violation identification
  • Legal risk assessment
  • Content revision suggestions

Example prompts

  • "Review this marketing copy for potential defamation issues: [paste text]"
  • "Analyze this email chain and identify any privacy concerns: [paste text]"
  • "Assess the legal risks in this blog post about [topic]: [paste text]"

Tips & gotchas

The skill's accuracy depends on the clarity and context of the provided text. Complex or nuanced legal situations may require human review alongside the AI’s suggestions.