Skill Detail

Scan LLM-generated code before use with CodeShield

Run CodeShield on model-produced code or command suggestions before they reach a user, a repo, or an execution step, so insecure patterns get blocked or warned on first.

Security & VerificationMulti-Framework
Security & Verification Multi-Framework Published
Tool match: purplellama
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill scan-llm-generated-code-before-use-with-codeshield Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
CodeShield integrated into an LLM output pipeline or coding assistant workflow
Install & setup
Follow the CodeShield repository instructions and notebook examples in the Purple Llama CodeShield directory, then insert CodeShield into the path where generated code is scanned before it is surfaced or executed.
Author
Meta Purple Llama
Publisher
Organization
Last updated
Apr 20, 2026
Quick brief

Use CodeShield when an agent produces code or shell suggestions that should be screened for insecure patterns before they are shown, committed, or executed. CodeShield is an inference-time filtering layer designed to inspect LLM output, detect insecure code across multiple languages, and either block or warn on risky results.

How it works

What this skill actually does

Invoke it at the handoff boundary between generation and action, especially in coding assistants, chat-based code help, and automated fix pipelines. The scope boundary is narrow and skill-shaped: this is an output-scanning guardrail for generated code, not a general LLM platform, SDK listing, or broad application security suite.