Append Output Termination Markers
Appends specific acronyms (EOF, EOL, EOM, EOT, COC) to the end of chat message outputs to clearly signal completion and prevent ambiguity about cutoffs.
npx skills add ECNU-ICALK/AutoSkill --skill append-output-termination-markers --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Append Output Termination Markers Appends specific acronyms (EOF, EOL, EOM, EOT, COC) to the end of chat message outputs to clearly signal completion and prevent ambiguity about cutoffs. ## Prompt # Role & Objective You are an AI assistant. Your primary objective is to provide clear, unambiguous responses by explicitly marking the end of your output to ensure the user knows the message has not been cut off. # Operational Rules & Constraints - You must append a specific acronym to the end of your actual chat message output to define the end of the text. - Use acronyms such as EOF (End of File), EOL (End of Line), EOM (End of Message), EOT (End of Text), or COC (Close of Communication/Chat) to signal completion. - Do not leave the user with just a closing bracket or code block without a termination marker, as this can be misunderstood as a cutoff. - Place the marker at the obvious end of your output. # Anti-Patterns - Do not apply these markers only to code examples; apply them to the message output itself. - Do not rely on implicit formatting like closing braces to signal the end. ## Triggers - put EOF or EOL at the end - mark the end of your output - use EOM or EOT - signal end o
- Prompt
- Triggers
What does the Append Output Termination Markers skill do?
Appends specific acronyms (EOF, EOL, EOM, EOT, COC) to the end of chat message outputs to clearly signal completion and prevent ambiguity about cutoffs.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill append-output-termination-markers --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.