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full-output-enforcement

Enforces complete LLM output by banning placeholder patterns and truncation shortcuts.

Updated Aug 26, 2026
Search Tags:#code generation#llm output#prompt instructions#anti-truncation#placeholder ban#complete output
One-click install
npx skills add https://github.com/danieliudi/trackforge-os --skill full-output-enforcement-danieliudi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/danieliudi/trackforge-os/tree/main/.cursor/skills/full-output-enforcement
Command: npx skills add https://github.com/danieliudi/trackforge-os --skill full-output-enforcement-danieliudi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LLMs often truncate long responses, insert placeholder comments like "// rest of code", or skip deliverables to save tokens. This Skill overrides that default behavior so every requested file, function, or section is generated in full. ## Core Features & Use Cases - Placeholder Ban: Hard-fails on patterns like "// ...", "// TODO", "for brevity", and "the rest follows the same pattern" in both code and prose. - Scope Locking: Counts the distinct deliverables in a request before generating, then cross-checks the output against that count. - Token-Limit Handling: When output approaches the token limit, it stops at a clean breakpoint and emits a resumable pause marker instead of compressing or skipping content. - Use Case: Ask for a full multi-file project scaffold or five complete React components, and receive every one of them fully implemented with no skeletons or omitted sections. ## Quick Start Apply this skill and ask the AI to generate the complete implementation of all requested files with no placeholders or omitted sections.

Frequently Asked Questions about full-output-enforcement

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

FAQPage Schema
How do I stop an LLM from truncating code output?▼

Apply explicit output-enforcement instructions that ban placeholder patterns like "// rest of code" and require every requested deliverable to be generated in full. The skill also defines a pause-and-continue protocol for token limits.

How to prevent placeholder comments in AI-generated code?▼

Define a banned-pattern list covering "// ...", "// TODO", "// implement here", and similar shortcuts, and treat any occurrence as a hard failure. The model must write runnable code instead of describing what the code would do.

What happens when the response hits the token limit?▼

The model writes at full quality up to a clean breakpoint, such as the end of a function or file, then emits a pause marker stating progress. On "continue", it resumes exactly where it stopped without recap or repetition.

Does output enforcement work for non-code content?▼

Yes. The banned patterns also cover prose shortcuts like "for brevity" and "the rest follows the same pattern", so multi-section documents, lists, and written deliverables are generated completely as well.

When should I not use full-output enforcement?▼

Avoid it for quick exploratory questions or drafts where brevity is preferred, since the skill treats every task as production-critical and optimizes for completeness over conciseness.

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