full-output-enforcement
Has your agent provide complete, unabridged outputs. Useful when you need all files or code without placeholders, ensuring nothing is skipped.
What it does
This tool ensures the AI delivers everything you asked for, without shortcuts or missing parts. It makes sure the output is complete, like a whole file or a full list.
When to use it
- ✓When you ask for a complete file.
- ✓When you need an exhaustive list of items.
- ✓When missing parts would break what you're trying to do.
Example of what to ask your AI
“Please give me the complete Python code for a calculator that does addition, subtraction, multiplication, and division.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI checks if you asked for something complete and makes sure to deliver all of it, without leaving anything out or using '...' to stand for code. It focuses on delivering the entire answer, even if it's long.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill full-output-enforcementOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/full-output-enforcement/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Full-Output Enforcement
When to Use
- Use when the user explicitly asks for full files, complete implementations, exhaustive lists, or unabridged deliverables.
- Use when placeholder code, skipped sections, TODO stubs, or descriptions in place of implementation would break the request.
- Use when a long answer may need clean continuation chunks without losing completeness or structural integrity.
Limitations
- This skill enforces completeness, but it does not override token limits, safety constraints, missing source context, or user-provided scope boundaries.
- Split long outputs into clearly labeled continuation chunks when necessary, and verify that each chunk connects cleanly to the previous one.
- Do not invent unavailable code, credentials, private APIs, or project files to satisfy a request for complete output.
Baseline
Match completeness to the requested deliverable and its actual stakes. Do not optimize for brevity — optimize for completeness. If the user asks for a full file, deliver the full file. If the user asks for 5 components, deliver 5 components. Respect the limitations above and report unavailable inputs honestly.
Banned Output Patterns
The following patterns are hard failures. Never produce them:
In code blocks: // ..., // rest of code, // implement here, // TODO, /* ... */, // similar to above, // continue pattern, // add more as needed, bare ... standing in for omitted code
In prose: "Let me know if you want me to continue", "I can provide more details if needed", "for brevity", "the rest follows the same pattern", "similarly for the remaining", "and so on" (when replacing actual content), "I'll leave that as an exercise"
Structural shortcuts: Outputting a skeleton when the request was for a full implementation. Showing the first and last section while skipping the middle. Replacing repeated logic with one example and a description. Describing what code should do instead of writing it.
Execution Process
- Scope — Read the full request. Count how many distinct deliverables are expected (files, functions, sections, answers). Lock that number.
- Build — Generate every deliverable completely. No partial drafts, no "you can extend this later."
- Cross-check — Before output, re-read the original request. Compare your deliverable count against the scope count. If anything is missing, add it before responding.
Handling Long Outputs
When a response approaches the token limit:
- Do not compress remaining sections to squeeze them in.
- Do not skip ahead to a conclusion.
- Write at full quality up to a clean breakpoint (end of a function, end of a file, end of a section).
- Continue through available tools, files and conversation continuation while authorization and context permit. Prefer a complete file artifact for outputs too large to display. Request a continuation only when the host actually requires user input; never introduce a checkpoint merely because a batch is large.
Quick Check
Before finalizing any response, verify:
- No placeholder patterns replace requested content; legitimate language syntax, quoted source and explicitly requested skeletons remain valid
- Every item the user requested is present and finished
- Code blocks contain actual runnable code, not descriptions of what code would do
- Nothing was shortened to save space
Examples
Request: “Provide the complete Python file that converts Celsius to Fahrenheit, including input validation and two assertions.” Deliver the entire file, with no omitted validation or assertions:
def celsius_to_fahrenheit(value):
if isinstance(value, bool) or not isinstance(value, (int, float)):
raise TypeError("Temperature must be a number")
return value * 9 / 5 + 32
assert celsius_to_fahrenheit(0) == 32
assert celsius_to_fahrenheit(100) == 212
If the request instead asks for a complete replacement of an unavailable project file, identify the missing input and obtain it before claiming a complete replacement; do not fabricate its existing interfaces.
FAQ
What happens if the response is too long?
If the response is too long, the AI will split it into parts, but each part will be complete and connected to the previous one, without skipping anything.
Will the AI make things up if it doesn't know?
No, the AI will not invent code, information, or files that don't exist. It will honestly report if something is missing.
Why doesn't the AI use shortcuts like '...' or 'implement here'?
These shortcuts mean the response is incomplete. This tool is designed to ensure you receive everything you asked for, without these abbreviations.
Details
Original description by the author
Use when a task requires exhaustive unabridged output, complete files, or strict prevention of placeholders and skipped code.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3064
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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