Yolonot — AI skill for Claude Code
Configurable command guardrails for AI coding agents across Claude Code, Codex CLI, OpenCode, Antigravity, and Cursor.
How to install Yolonot
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open sezaakgun/yolonot and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Yolonot does
Configurable command guardrails for AI coding agents across Claude Code, Codex CLI, OpenCode, Antigravity, and Cursor.
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README
yolonot
Smart auto-mode for AI coding assistants. The safe alternative to --dangerously-skip-permissions.
Built for Claude Code. Also works with Codex CLI, OpenCode, Gemini CLI, and Cursor.
yolonot sits between your AI coding assistant and your shell. It uses an LLM to classify every Bash command as **safe** (allow) or **needs-review** (ask), with session memory so approved commands don't ask twice and rejected commands stay blocked. Deny rules give you absolute blocks nothing can override. Optionally, an [escalation model](docs/providers.md#escalation-second-opinion-model) — a second, bigger LLM — gets one look at uncertain verdicts before you're interrupted: confident false alarms get rescued into allows, sneaky-dangerous ones get hardened, and everything else still asks.
**Claude Code first.** yolonot was designed for Claude Code and that's where it gets the richest UX (full allow/ask/deny). Cursor, Codex CLI, OpenCode, and Gemini CLI adapters ship in-tree but have upstream hook-API limitations — see [docs/harnesses.md](docs/harnesses.md) for each host's caveats.
**⚠ LLMs are not deterministic.** yolonot's classifier is a probabilistic safety net, not a guarantee. Models hallucinate, miss context, and can be tricked by adversarial prompts. Use yolonot at your discretion: keep your own judgment in the loop, write **deny rules** for anything you truly never want run (rules beat the LLM, always), and don't treat it as a substitute for reviewing what y
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