AI Output Validation

Schema-first validation layer for AI outputs before they hit downstream systems

Tested · Works

Test report

Verdict
Tested · Works
Score
7.6/10
Tested
Jul 19, 2026
Environment
Claude Code 2.x (agent harness)
Upstream re-checked
Jul 30, 2026 · a252593

This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (repo unreachable/deleted). The test below is what we measured on Jul 19, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.

Asked to harden the output layer of an LLM ticket-classifier, the skill produced a versioned JSON schema, a parse-then-retry-max-2-then-structured-error flow, a semantic check that confidence stay consistent with the action enum, and destination-specific sanitization (XSS/SQLi/code-sandbox) — a modest but real step up from the baseline's try/catch-and-log answer. It is a pure methodology checklist with no bundled scripts, so the lift over a strong model is incremental rather than dramatic. The three sibling skills in its References section do not exist in a standalone install, but they are see-also links, not runtime dependencies; the copy command works verbatim from a bare HOME.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

  • Installs cleanly 4/5
  • Triggers reliably 5/5
  • Output vs. baseline 6/10
  • Docs & honesty 4/5

What AI Output Validation does

A checklist-driven skill for validating, parsing, and sanitizing AI-generated outputs before they reach users or downstream code. Enforces schema-first design, structured-output prompting, parse-with-retry (max 2) then structured error, semantic constraint checks, and destination-specific sanitization. Triggers when model output feeds a database, agent, or code path rather than just being displayed.

How to install AI Output Validation

Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.

Commands — how to trigger AI Output Validation

  • /ai-output-validation Schema-first validation layer for AI outputs before they hit downstream systems

It also activates on plain-language prompts like these:

  • Harden the output layer of my LLM ticket classifier before launch.
  • Validate this GPT JSON output against a schema before it hits the DB.
  • My agent parses model output and crashes — help me harden it.

Frequently asked questions

Is the AI Output Validation skill free?
Yes. The skill itself is free from DevelopersGlobal/ai-agent-skills. SkillProof publishes the install command and an independent test verdict at no cost.
Does AI Output Validation work with Claude Code?
We tested it with Claude Code 2.x (agent harness) on Jul 19, 2026. Verdict: Tested · Works. Asked to harden the output layer of an LLM ticket-classifier, the skill produced a versioned JSON schema, a parse-then-retry-max-2-then-structured-error flow, a semantic check that confidence stay consistent with the action enum, and destination-specific sanitization (XSS/SQLi/code-sandbox) — a modest but real step up from the baseline's try/catch-and-log answer. It is a pure methodology checklist with no bundled scripts, so the lift over a strong model is incremental rather than dramatic. The three sibling skills in its References section do not exist in a standalone install, but they are see-also links, not runtime dependencies; the copy command works verbatim from a bare HOME.
What is the AI Output Validation SkillProof Score?
7.6/10 — installs cleanly 4/5, triggers reliably 5/5, output vs. baseline 6/10, docs & honesty 4/5.
How do I install AI Output Validation?
Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use AI Output Validation with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.