What is the primary purpose of Sibyl Revisionist?

It is designed to critically analyze the results of experiments or tests and suggest strategic improvements to the underlying technical hypotheses.

Is this skill part of a larger framework?

Yes, it is a component of the Sibyl-Codex system and is intended to be used with the sibyl-light agent tier.

Where does the agent store its analysis?

The agent typically writes its reflection results to a revisionist.md file within the idea/result_debate directory of your workspace.

Can I invoke Sibyl Revisionist directly from the command line?

No, this skill is configured as user-invocable: false, meaning it is designed to be triggered by an orchestrator agent during an automated workflow.

What tools does the Sibyl Revisionist agent have access to?

The agent is permitted to use Read, Write, Glob, Grep, and other Skills to examine the workspace and document its findings.

Sibyl Revisionist Agent

Name: Sibyl Revisionist Agent
Author: qcai0427

byqcai0427

0•

Data Science & ML

Refines technical hypotheses and proposes strategic modifications based on experimental outcomes and system data.

Sibyl Revisionist is a specialized agent within the Sibyl-Codex framework designed for high-level reflection and iterative improvement. It analyzes experimental results, compares them against original assumptions, and identifies why certain approaches may have failed or underperformed. By providing a structured 'revisionist' perspective, it helps developers pivot their strategies based on empirical evidence, making it an essential tool for complex debugging, algorithmic refinement, and data-driven software architecture decisions.

Key Features

01Automates the 'debate and reflect' loop within the Sibyl orchestrator

02Generates actionable revision directions for system improvements

030 GitHub stars

04Reflects on initial project hypotheses to identify false assumptions

05Documents detailed findings to the result_debate workspace directory

06Analyzes experimental logs and results to detect logic gaps

Use Cases

01Automating the reflection phase of a software development research cycle

02Analyzing experimental AI model behavior to refine training or inference hypotheses

03Iterating on complex algorithmic logic when initial tests fail to meet performance targets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qcai0427/sibyl-codex sibyl-revisionist

For use in Claude.ai and ChatGPT

Key Features

01Automates the 'debate and reflect' loop within the Sibyl orchestrator

02Generates actionable revision directions for system improvements

030 GitHub stars

04Reflects on initial project hypotheses to identify false assumptions

05Documents detailed findings to the result_debate workspace directory

06Analyzes experimental logs and results to detect logic gaps

Use Cases

01Automating the reflection phase of a software development research cycle

02Analyzing experimental AI model behavior to refine training or inference hypotheses

03Iterating on complex algorithmic logic when initial tests fail to meet performance targets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qcai0427/sibyl-codex sibyl-revisionist

For use in Claude.ai and ChatGPT