full-output-enforcement

Enforce complete, unabridged outputs by banning placeholders and handling token-limit splits.

53|25|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/naveedharri/benai-skills --skill full-output-enforcement-naveedharri
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/naveedharri/benai-skills/tree/main/plugins/design/skills/output-enforcement
Command: npx skills add https://github.com/naveedharri/benai-skills --skill full-output-enforcement-naveedharri

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of incomplete AI outputs by overriding default truncation behavior, ensuring complete, unabridged results, and preventing placeholder patterns from being emitted.

Core Features & Use Cases

  • Enforces complete code generation and non-truncated content.
  • Bans placeholder patterns (e.g., // TODO, ... placeholders) to prevent partial outputs.
  • Gracefully handles token-limit splits with deterministic, predictable behavior across tasks such as code, documentation, and long-form content.

Quick Start

Request the full, unabridged output for the current 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 AI code generation from truncating or using placeholders?

You can prevent truncation by applying prompt engineering constraints that ban placeholder patterns like // TODO and override default AI truncation behavior to ensure complete, unabridged code generation.

How does deterministic token-limit handling work for long-form content?

Deterministic token-limit handling works by gracefully splitting long-form content outputs with predictable behavior, ensuring the generation process remains stable across complex workflows without abrupt cut-offs.

Why does my AI output contain TODO comments and ellipsis instead of full code?

AI outputs contain TODO comments and ellipsis placeholders due to default truncation behaviors that substitute unabridged code, a problem solved by enforcing strict full-output prompt engineering constraints.

Can I use full-output enforcement for multi-page documentation generation?

Yes, you can use full-output enforcement for multi-page documentation generation, as it is specifically applicable to long-form content and complex workflows where complete, unabridged outputs are essential.

What are the limitations of banning placeholders in prompt engineering?

Banning placeholders in prompt engineering limits partial outputs by requiring complete text generation, which may increase token usage and necessitate graceful token-limit splits for extremely long content.