Standardizes AI agent decision requests with options, recommendations, and audit trails.
npx skills add https://github.com/e2its/myrmion-AI-factory --skill factory-rdr
Please help me install this Agent Skill. Skill: factory-rdr Source: https://github.com/e2its/myrmion-AI-factory/tree/main/.claude/skills/factory-rdr Command: npx skills add https://github.com/e2its/myrmion-AI-factory --skill factory-rdr
This Skill solves the problem of inconsistent, un-auditable, or biased decision-making when AI agents pose choices to users, eliminating lost decisions, lack of transparency, and ungrounded recommendations that can lead to misalignment with project goals.
When an agent needs to pose a decision with multiple alternatives to the user, invoke the factory-rdr protocol to frame the options, capture the user's choice, and persist the ratified decision immediately.
High-intent search queries and answers about installing and using this skill.
To enforce an audit trail for agent decision ratification, use a standardized workflow that mandates multiple options, captures verbatim user intent, and persists decisions immediately to both machine-readable metadata and human-readable artifacts.
Adversarial reasoning in agent governance is the process of analyzing tradeoffs for each decision option presented to a user, ensuring recommendations are grounded in project context and preventing biased or ungrounded choices.
To preserve user intent capture during SDLC protocol execution, implement a mechanism that records the exact verbatim user input when ratifying decisions, preventing misinterpretation of their choices across downstream agent tasks.
Yes, structured decision framing applies to low-confidence audit calls by mandating at least three options with justified recommendations, ensuring transparent decision trails for project setup, feature scoping, and DevOps configuration.
Incremental persistence supports downstream coherence validation by immediately ratifying decisions within the same turn, writing to progress metadata and inline artifact comments to maintain full traceability and auditability.
Unstructured recommendation workflows lead to lost decisions, lack of transparency, and ungrounded recommendations, causing misalignment with project goals and failing governance requirements for verifiable audit trails.
telum-aiGenerate a constitution.md file defining project technical standards and governance.
robit-manManage artifact metadata with versioning, ownership, and history tracking in JSON files.
e2itsEnforce standardized communication protocols for Myrmion AI Factory sub-agents.
williamzujkowskiImplement RBAC and ABAC authorization with policy enforcement and audit trails.
