autonomous-mode

Enforce deterministic question resolution and operator approval for high-impact actions.

11|1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Arcanada-one/datarim --skill autonomous-mode-arcanada-one
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autonomous-mode
Source: https://github.com/Arcanada-one/datarim/tree/main/skills/autonomous-mode
Command: npx skills add https://github.com/Arcanada-one/datarim --skill autonomous-mode-arcanada-one

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents ambiguous or high-risk actions during AI execution by enforcing a question-resolution ladder and a hard-gated action boundary whenever autonomous mode is enabled.

Core Features & Use Cases

  • Question Suppression Ladder: Resolves operator-need questions via deterministic codebase reads, runtime probes, MEMORY feedback lookup, and coworker delegation before escalating to the operator.
  • Hard-gated Action Boundary: Blocks irreversible or high-impact actions (e.g., deploys, secret rotation, DB destructive operations, public communications, force-push to main/master, history deletion, actions affecting more than one human user) and requires explicit operator approval.
  • Fail-safe Activation: Only activates when DATARIM_AUTO_MODE=1 is set and a valid datarim/.auto-mode-active marker exists for the current TASK-ID, with a 24h TTL to reduce stale activation risk.

Quick Start

Enable autonomous mode by setting DATARIM_AUTO_MODE=1 and creating a matching datarim/.auto-mode-active YAML marker for the current task ID before running the /dr-auto cycle.

Frequently Asked Questions about autonomous-mode

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce safe operator escalation during AI autonomous execution?

Safe operator escalation during AI autonomous execution is enforced by a deterministic question-resolution ladder and hard-gated action boundaries that block irreversible operations until explicit operator approval is logged.

What is the best way to prevent AI agents from performing high-impact actions without approval?

Preventing AI agents from performing high-impact actions without approval requires a hard-gated action boundary that blocks deploys, secret rotations, and destructive database operations until explicit operator approval is granted.

How does the question resolution ladder handle mid-cycle gaps in autonomous pipelines?

The question resolution ladder handles mid-cycle gaps by applying an ordered L1 to L5 resolution process using codebase reads, runtime probes, memory feedback, and coworker delegation before escalating to the operator.

Do I need environment variables to activate autonomous mode safety guardrails?

Activating autonomous mode safety guardrails requires setting the DATARIM_AUTO_MODE environment variable to 1 and creating a matching task ID marker file with a 24-hour TTL to reduce stale activation risk.

When should I not use autonomous mode for AI task routing?

You should not use autonomous mode when mid-cycle gaps require immediate execution without operator input, as the safety guardrails enforce hard blocks on irreversible actions and mandate explicit approval logging.