full-output-enforcement

Enforce complete, non-truncated outputs by banning placeholder patterns.

4|Updated Feb 23, 2026

Search Tags:#safety #code-generation #token-limit #complete-output #banned-patterns #deterministic-delivery #prompt-protection

Ready to run

npx skills add https://github.com/fysoul17/one-query-v1 --skill full-output-enforcement-fysoul17

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/fysoul17/one-query-v1/tree/main/.agents/skills/full-output-enforcement
Command: npx skills add https://github.com/fysoul17/one-query-v1 --skill full-output-enforcement-fysoul17

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents partial or truncated outputs by enforcing complete generation for any task, ensuring that code, documentation, and long-form responses are delivered in full.

Core Features & Use Cases

Enforces complete outputs for multi-part deliveries, reducing the risk of missing content.
Bans placeholder patterns and stray fragments to maintain high-quality results.
Handles token-limit splits gracefully by planning, chunking, and reassembling outputs without loss of fidelity.
Use Case: when generating a full source file, a long technical document, or a multi-file artifact, this skill ensures no essential content is omitted.

Quick Start

Instruct the AI to deliver a complete, non-truncated output for the requested task.

Frequently Asked Questions about full-output-enforcement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prevent truncated code generation when hitting token limits?▼

To prevent truncated code generation, you can enforce complete output generation by planning, chunking, and reassembling multi-part deliveries without losing fidelity. This approach bans partial deliveries and placeholder patterns, ensuring exhaustive end-to-end artifacts.

How do I stop AI from returning skeleton outputs with placeholder text?▼

You can stop AI from returning skeleton outputs by validating responses against banned placeholder patterns. Enforcing strict deterministic delivery rules ensures the AI produces production-ready, fully expanded code and prose instead of stray fragments.

What is the best way to generate complete multi-file artifacts without missing content?▼

The best way to generate complete multi-file artifacts is to apply deterministic expansion and chunking. This enforces full deliveries by validating against banned patterns, ensuring no essential content is omitted across code and structured documentation.

Why does my long-form documentation output get cut off before finishing?▼

Long-form documentation gets cut off due to token-limit constraints. You can handle this gracefully by planning, chunking, and reassembling outputs without loss of fidelity to ensure complete, non-truncated delivery.

Can I enforce complete output delivery for both source code and technical documents?▼

Yes, you can enforce complete output delivery for both source code and technical documents. This approach applies to tasks requiring exhaustive end-to-end artifacts, strictly banning partial or skeleton outputs across all content types.