Full-Output Enforcement
Bans LLM truncation habits (`// ...`, `// TODO`, "let me know if you want me to continue") and forces complete, unabridged output with a clean pause-and-resume protocol for long responses
- What
- Bans LLM truncation habits (`// ...`, `// TODO`, "let me know if you want me to continue") and forces complete, unabridged output with a clean pause-and-resume protocol for long responses
- Cost
- Free
- Needs
- none — this skill steers the agent's output behavior; it works best when explicitly invoked for deliverable-heavy tasks.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — a behavior skill that overrides the LLM's default truncation reflex. It hard-bans output patterns that stand in for omitted content — in code blocks (`// ...`, `// rest of code`, `// implement here`, `// TODO`, `/* ... */`, `// similar to above`), in prose ("let me know if you want me to continue", "for brevity", "the rest follows the same pattern", "I'll leave that as an exercise"), and structural shortcuts (skeleton instead of implementation, first and last section with the middle skipped, describing what code should do instead of writing it). The execution process is scope → build → cross-check: count the deliverables in the request, generate every one completely, then re-read the request and compare counts before responding. For long outputs it forbids compressing remaining sections — write at full quality to a clean breakpoint, end with `[PAUSED — X of Y complete. Send "continue" to resume from: next section name]`, and on "continue" resume exactly where it stopped with no recap and no repetition. By @leonxlnx, listed here with credit to its creator. Honest caveats: it steers behavior, it cannot raise the model's actual token limit — the pause-and-resume only works if you actually send "continue"; best invoked explicitly for deliverable-heavy tasks, not as a default for every short answer. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: none — this skill steers the agent's output behavior; it works best when explicitly invoked for deliverable-heavy tasks. Install "Full-Output Enforcement" for me. It overrides default LLM truncation behavior: bans placeholder patterns (`// ...`, `// TODO`, "let me know if you want me to continue"), forces complete unabridged output via a scope-build-cross-check process, and handles token-limit splits with a clean pause-and-resume protocol. Repository: https://github.com/leonxlnx/taste-skill/blob/main/skills/output-skill/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "leonxlnx-full-output-enforcement". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself. GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.