full-output-enforcement

full-output-enforcement is a cursor rule for Cursor from GktuOktay/ai-skills. It costs 0 tokens per session (1,094 once invoked), scanned A, original, MIT.

A rule set that requires an AI assistant to provide complete code, configuration, and explanations without placeholders, omitted sections, or shortened output.

In plain words
What is it for?
Use it when generating or editing full files and when preserving unrelated code during a refactor or other change.
Why use it?
It reduces the risk of receiving incomplete files that cannot be copied, reviewed, or run without manual reconstruction.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Good fit Use it when generating or editing full files and when preserving unrelated code during a refactor or other change.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/gktuoktay/ai-skills/full-output-enforcement
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/GktuOktay/ai-skills

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for full-output-enforcement

README.md
[![agentmods](https://agentmods.dev/badge/rules/gktuoktay/ai-skills/full-output-enforcement/github.svg)](https://agentmods.dev/rules/gktuoktay/ai-skills/full-output-enforcement)
Your own site
<a href="https://agentmods.dev/rules/gktuoktay/ai-skills/full-output-enforcement"><img src="https://agentmods.dev/badge/rules/gktuoktay/ai-skills/full-output-enforcement/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for full-output-enforcement

Your own site · 80×15
<a href="https://agentmods.dev/rules/gktuoktay/ai-skills/full-output-enforcement"><img src="https://agentmods.dev/badge/rules/gktuoktay/ai-skills/full-output-enforcement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 1,094 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01094
Opus 5 $0.00000 $0.00547
Sonnet 5 $0.00000 $0.00219
Haiku 4.5 $0.00000 $0.00109

Measured 7d ago against content hash 1e4c9a76068f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

full-output-enforcement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/cursor/rules/full-output-enforcement.mdc · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Full Output Enforcement Meta-Skill

Overview

This is a high-priority meta-skill designed to strictly enforce that all generated output—specifically code, configurations, and detailed explanations—is provided in its absolute entirety. The assistant must never use placeholders, ellipses, or truncation when modifying or providing files, ensuring that the user can copy-paste or execute the output directly without manual merging.

Core Rules of Output Enforcement

  1. NO TRUNCATION: Never truncate code files, scripts, or structured data.
  2. NO PLACEHOLDERS: Never use comments like // ... rest of the code remains the same, /* previous code here */, or ....
  3. COMPLETE CONTEXT: When editing a file, output the complete file from line 1 to the final line, unless specifically using a targeted diffing/editing tool that requires only snippets.
  4. NO LAZY EXPLANATIONS: Do not skip over complex logic by saying "implement standard logic here". Write the actual logic.
  5. VERBATIM PRESERVATION: When refactoring or updating a file, all unrelated functions, imports, and variables must be retained exactly as they were.

The Problem with "Lazy Output"

When an AI assistant produces abbreviated code, it shifts the cognitive load and manual labor onto the user. The user must manually stitch the new code into their existing file, which often leads to syntax errors, missing brackets, or lost imports.

This skill prohibits the following patterns.

Anti-Patterns (NEVER DO THESE)

Anti-Pattern 1: The "Rest Remains the Same" Comment
// BAD
function existingFunction() {
  // ... rest of the function remains the same
}
Anti-Pattern 2: The "Add Your Logic Here" Placeholder
# BAD
def process_data(data):
    # Add data processing logic here
    pass
Anti-Pattern 3: Omitting Imports or Boilerplate
// BAD
// (imports omitted for brevity)
export class MyService { ... }

Correct Implementation Patterns

Read the full file on GitHub · 105 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 105 lines · 1,094 tokens per session scan A 1e4c9a76068f

Subscribe to this mod's changes

full-output-enforcement is a cursor rule published in the GitHub repository GktuOktay/ai-skills (2 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,094 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.