full-output-enforcement

Enforces complete code generation by banning placeholder patterns and truncation.

Updated Jul 10, 2026
One-click install
npx skills add https://github.com/Kaleb-Rupe/aurora --skill full-output-enforcement-kaleb-rupe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/Kaleb-Rupe/aurora/tree/main/claude/skills/full-output-enforcement
Command: npx skills add https://github.com/Kaleb-Rupe/aurora --skill full-output-enforcement-kaleb-rupe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LLMs often truncate long outputs, insert placeholder comments like "// rest of code", or skip deliverables to save tokens, leaving users with incomplete code that requires manual follow-up. This Skill overrides that default behavior so every requested deliverable is generated in full. ## Core Features & Use Cases - Placeholder Ban: Hard-fails on patterns like // ..., // TODO, "for brevity", and skeleton-only outputs, forcing complete implementations. - Deliverable Cross-Check: Counts requested items before generating and verifies all are present before responding. - Token-Limit Handling: Splits long outputs at clean breakpoints with a resumable [PAUSED] marker instead of compressing or skipping content. - Use Case: Ask for a full multi-file project scaffold or five React components; receive every file and component completely written, with no omitted sections or "continue the pattern" shortcuts. ## Quick Start Apply the full-output-enforcement skill and generate the complete implementation of all requested files with no placeholders or omissions.

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 completely. This Skill defines a banned-pattern list and a pre-response cross-check to guarantee completeness.

How to handle token limits when generating long code files?

Write at full quality up to a clean breakpoint such as the end of a function or file, then emit a [PAUSED — X of Y complete] marker. On "continue", resume exactly from the named next section without recap or repetition.

What placeholder patterns should be banned in AI code generation?

Ban inline omissions like "// ...", "// TODO", "// implement here", and prose shortcuts like "for brevity" or "the rest follows the same pattern". Also ban structural shortcuts such as skeleton-only output or describing code instead of writing it.

Does output enforcement work for non-code deliverables?

Yes, the same scope-build-crosscheck process applies to any enumerated deliverables such as documents, sections, or answers. The deliverable count is locked before generation and verified before responding.

When should I not use full-output enforcement?

Avoid it for exploratory brainstorming or quick drafts where brevity is the goal, since it treats every task as production-critical and optimizes for completeness over conciseness. It is designed for tasks explicitly requiring exhaustive output.