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ralph

Specification-first AI development powered by Ouroboros. Socratic questioning exposes hidden assumptions before writing code. Evolutionary loop (Interview → Seed → Execute → Evaluate → Evolve) runs until ontology converges. Ralph mode persists until verification passes — the boulder never stops. Use when user says "ralph", "ooo", "don't stop", "must complete", "until it works", "keep going", "interview me", or "stop prompting".

83

2.02x
Quality

83%

Does it follow best practices?

Impact

71%

2.02x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Evaluation results

40%

33%

Fix All Failing Tests in a Legacy Python Module

Ralph state file and loop reporting

Criteria
Without context
With context

State file location

0%

0%

State file mode field

0%

0%

State file session_id

0%

0%

State file required fields

0%

0%

Default max iterations

0%

0%

Iteration progress header

0%

75%

Verification result in report

0%

25%

Score in report

0%

100%

Boulder never stops phrase

0%

100%

Verification history populated

0%

0%

Checkpoint saves

0%

0%

Ralph COMPLETE header

0%

71%

Completion report fields

100%

100%

Verification history in completion

0%

100%

100%

57%

Design a Personal Budget Tracker CLI

Specification interview and seed generation

Criteria
Without context
With context

Interview questions produced

100%

100%

Ambiguity score computed

40%

100%

Ambiguity formula applied

0%

100%

Greenfield vs brownfield weights

0%

100%

Threshold check

30%

100%

YAML seed format

100%

100%

Seed goal field

28%

100%

Seed constraints field

28%

100%

Seed acceptance_criteria field

0%

100%

Seed ontology_schema field

10%

100%

No code before spec

100%

100%

Spec saved to file

100%

100%

74%

18%

Evolve an Ontology for a Logistics Event System

Evolutionary loop convergence tracking

Criteria
Without context
With context

Multiple generations produced

100%

100%

Ontology schema per generation

100%

100%

Similarity formula applied

0%

100%

Convergence threshold

80%

100%

Stagnation detection: consecutive

0%

0%

Stagnation detection: oscillation

0%

0%

Hard cap 30 generations

0%

0%

Per-generation similarity score

100%

100%

Wonder-Reflect-Seed pattern

12%

62%

Lineage tracking

100%

100%

Convergence action reported

100%

100%

No premature convergence

100%

100%

Repository
supercent-io/skills-template
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.