full-output-enforcement

full-output-enforcement is a skill for Claude Code from ne11nn/cantos-plugin. It costs 44 tokens per session (566 once invoked), scanned A, a copy of full-output-enforcement, MIT.

A set of instructions that makes an AI coding agent provide complete outputs instead of shortened code or placeholders.

In plain words
What is it for?
Use it for tasks that require complete files, multiple components, or long code outputs, including outputs split across token limits.
Why use it?
It helps prevent missing sections, unfinished implementations, and abbreviated code when a full result is requested.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cantos plugin — 25 skills, 2 commands, 11 agents, 2 hooks shipped together

Good fit Use it for tasks that require complete files, multiple components, or long code outputs, including outputs split across token limits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ne11nn/cantos-plugin/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.

Any agent
npx skills add ne11nn/cantos-plugin --skill full-output-enforcement
Clone the repo
git clone --depth 1 https://github.com/ne11nn/cantos-plugin

Made for: Claude Code.

Or install cantos, the plugin that ships this one along with the rest of its 25 skills, 2 commands, 11 agents, 2 hooks.

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/skills/ne11nn/cantos-plugin/full-output-enforcement/github.svg)](https://agentmods.dev/skills/ne11nn/cantos-plugin/full-output-enforcement)
Your own site
<a href="https://agentmods.dev/skills/ne11nn/cantos-plugin/full-output-enforcement"><img src="https://agentmods.dev/badge/skills/ne11nn/cantos-plugin/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/skills/ne11nn/cantos-plugin/full-output-enforcement"><img src="https://agentmods.dev/badge/skills/ne11nn/cantos-plugin/full-output-enforcement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 566 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 100% copy Near-identical to another mod 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 $0.00044 $0.00566
Opus 5 $0.00022 $0.00283
Sonnet 5 $0.00009 $0.00113
Haiku 4.5 $0.00004 $0.00057

Measured 9d ago against content hash e5bf48b1ae56, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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.

Origin

This is a copy

100% identical to full-output-enforcement — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/full-output-enforcement/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

  1. Scope — Read the full request. Count how many distinct deliverables are expected (files, functions, sections, answers). Lock that number.
  2. Build — Generate every deliverable completely. No partial drafts, no "you can extend this later."
  3. 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.

Read the full file on GitHub · 50 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. 9d ago First seen · 50 lines · 44 tokens per session scan A e5bf48b1ae56

Subscribe to this mod's changes

full-output-enforcement is a skill published in the GitHub repository ne11nn/cantos-plugin (1 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 566 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to full-output-enforcement, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

stream-chain

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows.

spencermarx/open-code-review · 18 tokens

run

Run the agents-concerto multi-agent development pipeline for a task — classify by complexity, implement in isolated worktrees (TDD + Tidy First), review under a two-party boundary, and stop at open PRs for human merge. Invoke explicitly with a task description; a weak or empty description is shaped interactively first…

moruno21/agents-concerto · 77 tokens

shape

Turn a rough idea into a well-formed task the pipeline can run — interrogate the ambiguity, derive testable acceptance criteria, flag contradictions, and write .agent-workspace/feature-request.md in the exact shape /run consumes. The upstream step before /agents-concerto:run. Invoke explicitly with a rough idea.

moruno21/agents-concerto · 68 tokens

setup

Bootstrap agents-concerto in the current project by interviewing the user for every configurable option — target repos (with per-repo PR host), tasksource, base branch, commit convention, and fix-cycle cap — then writing a filled .agent-workspace/config.md. Detects sensible defaults and asks for confirmation rather…

moruno21/agents-concerto · 73 tokens

foundry-hosted-agent-validation

Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.

microsoft/agent-framework · 82 tokens

python-feature-lifecycle

Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.

microsoft/agent-framework · 43 tokens