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.
npx skills add GktuOktay/ai-skills --skill full-output-enforcementgit clone --depth 1 https://github.com/GktuOktay/ai-skillsWrote 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.
[](https://agentmods.dev/skills/gktuoktay/ai-skills/full-output-enforcement)<a href="https://agentmods.dev/skills/gktuoktay/ai-skills/full-output-enforcement"><img src="https://agentmods.dev/badge/skills/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.
<a href="https://agentmods.dev/skills/gktuoktay/ai-skills/full-output-enforcement"><img src="https://agentmods.dev/badge/skills/gktuoktay/ai-skills/full-output-enforcement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.01091 |
| Opus 5 | $0.00029 | $0.00545 |
| Sonnet 5 | $0.00012 | $0.00218 |
| Haiku 4.5 | $0.00006 | $0.00109 |
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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 106 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
- NO TRUNCATION: Never truncate code files, scripts, or structured data.
- NO PLACEHOLDERS: Never use comments like
// ... rest of the code remains the same,/* previous code here */, or.... - 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.
- NO LAZY EXPLANATIONS: Do not skip over complex logic by saying "implement standard logic here". Write the actual logic.
- 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
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.
- 12d ago First seen · 106 lines · 58 tokens per session scan A 2e3066734255
Full Output Enforcement is a skill published in the GitHub repository GktuOktay/ai-skills (2 stars, last pushed 9d ago), licensed MIT. It adds 58 tokens to every session and 1,091 once invoked, about $0.0003 per session on Opus 5. 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 2026-08-31.
Other skills, from other repositories
azure-resource-manager-mysql-dotnet
Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
aws-security-audit
Comprehensive AWS security posture assessment using AWS CLI and security best practices.
azure-microsoft-playwright-testing-ts
Run Playwright tests at scale with cloud-hosted browsers and integrated Azure portal reporting.
gha-security-review
Find exploitable vulnerabilities in GitHub Actions workflows. Every finding MUST include a concrete exploitation scenario — if you can't build the attack, don't report it.
performance-optimizer
Identifies and fixes performance bottlenecks in code, databases, and APIs. Measures before and after to prove improvements.
azure-mgmt-apicenter-py
Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.