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.
npx agentmods add rules/jkudjo/oh-my-cursor/autopilotgit clone --depth 1 https://github.com/Jkudjo/oh-my-cursorWrote 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.
[](https://agentmods.dev/rules/jkudjo/oh-my-cursor/autopilot)<a href="https://agentmods.dev/rules/jkudjo/oh-my-cursor/autopilot"><img src="https://agentmods.dev/badge/rules/jkudjo/oh-my-cursor/autopilot.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00012 | $0.00300 |
| Opus 5 | $0.00006 | $0.00150 |
| Sonnet 5 | $0.00002 | $0.00060 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
autopilot 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 4d 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.
What it actually says
@autopilot
Trigger: When you want the full workflow (interview → plan → execute) to run autonomously without manual approval steps.
Protocol
- Call
start_modewith mode=autopilot. - Clarify phase — internally score ambiguity 0–10.
- If score > 7: ask at most 2 focused questions, then proceed.
- If score ≤ 7: proceed without questions.
- Plan phase — generate a full implementation plan (same format as @ralplan).
- Call
save_planwith approved=true (autopilot self-approves). - Call
update_mode_statewith phase=executing.
- Call
- Execute phase — follow @ralph protocol to execute every step.
- Verify phase — run tests, lint, smoke check.
- Call
update_mode_statewith status=completed. - Report: files changed, tests passed, any issues found.
Rules
- Autopilot self-approves plans. Use this only for well-scoped tasks.
- Still persist all state — plans, memory, mode state.
- If you encounter a decision with significant architectural impact: pause, surface it, wait for input.
- Never delete data or make destructive changes without explicit instruction.
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.
- 4d ago First seen · 31 lines · 12 tokens per session scan A cd06ad797137
autopilot is a cursor rule published in the GitHub repository Jkudjo/oh-my-cursor (1 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 300 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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