rka-executor

Execute research missions in RKA projects with provenance tracking.

13|2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/infinitywings/rka --skill rka-executor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rka-executor
Source: https://github.com/infinitywings/rka/tree/main/plugin/skills/executor
Command: npx skills add https://github.com/infinitywings/rka --skill rka-executor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pymysql, psycopg2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the execution of research missions within RKA projects, automating tasks like mission execution, experiment runs, code modifications, evidence collection, and reporting with full provenance tracking.

Core Features & Use Cases

  • Mission Execution: Automates mission execution and experiment runs.
  • Code Modification: Modifies code with provenance tracking.
  • Evidence Collection: Collects evidence and integrates it into the RKA knowledge base.
  • Reporting: Generates reports with structured sections and provenance tracking.
  • Use Case: A researcher uses this Skill to execute a mission, run an experiment to test a hypothesis, and generate a detailed report with findings and anomalies.

Quick Start

Execute the mission with the following command: rka_execute(args={"operation": "update_mission_status", "project_id": <pinned>, "mission_id": "<mission_id>", "status": "complete"})

Frequently Asked Questions about rka-executor

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

FAQPage Schema
How do I automate experiment runs and code modification with provenance tracking?

You can automate experiment runs and code modification with provenance tracking by executing research missions through the RKA knowledge base and MCP server, which logs evidence and modifications automatically.

What is provenance tracking in research mission execution?

Provenance tracking in research mission execution records the history of code modifications, data collection, and evidence integration into the RKA knowledge base to ensure full traceability of research findings.

How do I generate a structured report after running an experiment?

To generate a structured report after running an experiment, execute the mission and use the reporting feature to output findings, anomalies, and provenance data integrated from the RKA knowledge base.

Do I need Python and database connectors to run RKA mission execution scripts?

Yes, you need Python along with pymysql and psycopg2 database connectors installed to run RKA mission execution scripts, as these dependencies are required for data extraction and knowledge base interaction.

Can I update mission status automatically after data collection and reporting?

Yes, you can update mission status automatically after data collection and reporting by passing the update_mission_status operation with the relevant project ID and mission ID to the execution command.

What are the limitations of automating code modifications through an RKA project?

The primary limitation of automating code modifications through an RKA project is the strict dependency on continuous interaction with the RKA knowledge base and MCP server for mission execution and evidence collection.