ralph-wiggum
Interactive self-referential AI loops that rerun the same task until completion.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for ralph-wiggum, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
ralph-wiggum is an official Anthropic plugin implementing self-referential iterative loops: Claude works the same task repeatedly, seeing its prior work each pass, until the task is done. It drives an autonomous retry loop over a single objective.
Key features and capabilities
- Self-referential task loops
- Sees prior work each iteration
- Runs until completion
Use cases
- Iterate on a hard task autonomously
- Let the agent refine work over passes