Review
CheckedAnalyzes Open Horizon Labs documentation and code repositories to identify potential issues and suggest improvements.
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 open-horizon-labs/skills --skill review -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
open-horizon-labs
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 open-horizon-labs/skills at 79dc1fd745.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79dc1fd745
- Manifest
- review/SKILL.md
- Scanned
- 5 files, 213 lines
About this skill
Review
What it does
This skill enables AI agents to perform comprehensive reviews of various inputs, likely including code, documentation, or project artifacts. It provides a structured mechanism for agents to evaluate quality, adherence to standards, and potential issues within the provided context.
When to use it
- Code Audits: Have an agent review pull requests or new modules before deployment to catch bugs or style violations.
- Documentation Checks: Validate that technical documentation is up-to-date, accurate, and follows company style guides.
- Compliance Verification: Ensure generated content or configurations meet specific regulatory or security requirements.
- Quality Assurance: Run periodic reviews on existing repositories to maintain high standards over time.
Key capabilities
- Performs detailed analysis of submitted artifacts.
- Evaluates content against defined criteria or best practices.
- Generates structured feedback reports on findings.
Example prompts
- "Review this Python module for security vulnerabilities and performance bottlenecks."
- "Analyze the provided API documentation for clarity and completeness."
- "Conduct a compliance review of this configuration file against our internal security policy."
Tips & gotchas
Ensure you provide clear context or specific criteria when requesting a review to get the most relevant feedback. This skill is designed for evaluation rather than direct modification, so pair it with tools that can apply suggested changes if needed.