llm-top-10

llm-top-10 is an Application security skill for AI agents, published by UnitOneAI in the SecuritySkills repository on GitHub. Skillspace rates llm-top-10 F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Reviews LLM-powered applications against the OWASP Top 10 for Large Language Model Applications (2025 edition). Auto-invoked when reviewing code that integrates LLM APIs, builds RAG pipelines, or deploys AI-powered features. Produces a structured findings report mapped to LLM01-LLM10 with severity ratings, CWE mappings, and prioritized remediation guidance.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
32

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
71 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • prompt-injection: ignore-previous
  • exfiltration language
  • executes shell/subprocess
  • dynamic code execution (eval/exec)
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.