stop-that-shit
Hooks and skills that stop an AI coding agent from adding unrequested hashes, checksums, or extra scope to a task. Built for Codex and GPT workflows across several platforms.
What prompt-improver runs automatically, and when. A hook is a command Claude Code fires at a fixed moment, without you asking for it.
Claude Code
$ npx -y skills add severity1/claude-code-prompt-improver --agent claude-code
Cursor
Cursor also runs Claude Code hooks from .claude/settings.json, so copy these hooks there to use them in Cursor.
What fires, and when
UserPromptSubmit
Fires before Claude sees each prompt you send. A plugin can use it to inject context, so the same instruction reaches the model every turn instead of only at session start.
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/engine.py" UserPromptSubmit || python "${CLAUDE_PLUGIN_ROOT}/scripts/engine.py" UserPromptSubmitPreToolUse
EnterPlanMode|Bashpython3 "${CLAUDE_PLUGIN_ROOT}/scripts/engine.py" PreToolUse || python "${CLAUDE_PLUGIN_ROOT}/scripts/engine.py" PreToolUseSubagentStart
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/engine.py" SubagentStart || python "${CLAUDE_PLUGIN_ROOT}/scripts/engine.py" SubagentStartIn the plugin's words
How prompt-improver describes its own hook set.
Declarative hook engine: runs the nudge rules for UserPromptSubmit, PreToolUse (plan-mode entry and Bash commands), and SubagentStart
Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts.
Hooks and skills that stop an AI coding agent from adding unrequested hashes, checksums, or extra scope to a task. Built for Codex and GPT workflows across several platforms.
Probity forces AI coding agents to follow your rules. It hooks into your agent and checks every file write and shell command before it happens. When an action breaks a rule, Probity blocks it and tells the agent why.
Keep the signal. Stop rereading the same failures. Token-Saver compresses the terminal output your AI coding assistant reads, git diff, pytest, npm install, terraform plan, kubectl, docker, to leave more room for the code, instructions, and next decision.