AI Output Validation
Schema-first validation layer for AI outputs before they hit downstream systems
Test report
- Verdict
- Tested · Works
- Score
- 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-validationSchema-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.