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LLM Output Validation

Agent skill
1 skill

LLM output validation patterns — structured output schemas, hallucination detection, retry-with-backoff, streaming output safety, tool-call validation, and confidence scoring. Sources: instructor-ai/instructor, colinhacks/zod, vercel/ai, anthropics/anthropic-sdk-python, outlines-dev/outlines, guardrails-ai/guardrails.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryDeveloper toolsStars0

About this skill

LLM output validation patterns — structured output schemas, hallucination detection, retry-with-backoff, streaming output safety, tool-call validation, and confidence scoring. Sources: instructor-ai/instructor, colinhacks/zod, vercel/ai, anthropics/anthropic-sdk-python, outlines-dev/outlines, guardrails-ai/guardrails.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill

This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.

Automated security scan: Partial

Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.

0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: ccbe488576c6d94c371115c6aefc2cd7139cef33eef154a2c06db17e78bbda19

About scan coverage and limitations

About this listing

Category
Developer tools
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
LLM Output Validation | Agent Skills Atlas