full-output-enforcement
Forces LLMs to output complete code without truncations or placeholder shortcuts.
Install
mkdir -p .claude/skills/full-output-enforcement && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/9692" && unzip -o skill.zip -d .claude/skills/full-output-enforcement && rm skill.zipInstalls to .claude/skills/full-output-enforcement
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.Key capabilities
- →Exhaustive code generation
- →Truncation prevention
- →Deliverable completeness verification
How it works
Overrides truncation behavior and verifies deliverable counts to ensure total completeness.
Inputs & outputs
When to use full-output-enforcement
- →Get full file content
- →Prevent truncated code output
- →Generate exhaustive implementations
About this skill
Full-Output Enforcement
Baseline
Treat every task as production-critical. A partial output is a broken output. 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. No exceptions.
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).
- End with:
[PAUSED — X of Y complete. Send "continue" to resume from: next section name]
On "continue", pick up exactly where you stopped. No recap, no repetition.
Quick Check
Before finalizing any response, verify:
- No banned patterns from the list above appear anywhere in the output
- 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
When not to use it
- →Short, simple answers
Limitations
- →Requires token management
- →Not for short answers
How it compares
Bans shorthand and placeholders, forcing full implementation regardless of length.
Compared to similar skills
full-output-enforcement side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| full-output-enforcement (this skill) | 0 | 5mo | No flags | Beginner |
| godot | 1,044 | 5mo | Review | Intermediate |
| software-architecture | 333 | 6mo | No flags | Intermediate |
| drizzle | 238 | 2mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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