Ground definitions of works in live, citable, quote-verified sources.
npx skills add https://github.com/RyanDev1st/FORGER --skill forger-find
Please help me install this Agent Skill. Skill: forger-find Source: https://github.com/RyanDev1st/FORGER/tree/main/skills/forger/phases/find Command: npx skills add https://github.com/RyanDev1st/FORGER --skill forger-find
This Skill solves the "hallucination-by-confidence" problem where AI agents generate internally coherent but factually incorrect architectures or designs by grounding all work in live, citable, and quote-verified sources.
Use the forger-find skill to ground the current workspace definition of works in live sources by running the standard research pipeline.
High-intent search queries and answers about installing and using this skill.
You prevent hallucination-by-confidence by enforcing deterministic audit gates that validate source ledgers and claim entailment. This ensures factual accuracy before the agent proceeds to design or execution.
You prevent hallucination-by-confidence by enforcing deterministic audit gates that validate source ledgers and claim entailment. This ensures factual accuracy before the agent proceeds to design or execution.
You cross-reference documentation by using adversarial grounding, which deploys parallel lane agents across production, community, and frontier domains to validate constraints and failure modes for complex designs.
You can adapt grounding depth by utilizing mode-aware lane fan-out, which automatically scales between quick, standard, and deep research modes based on your specific project requirements.
Yes, you can use deterministic gates to enforce strict validation of source ledgers and claim entailment. This automated audit ensures factual accuracy is verified before allowing artifact generation to proceed.
You should avoid adversarial grounding when your project lacks strict ledger schemas or cannot support multi-lane research pipelines, as the deterministic gates require structured inputs to validate factual accuracy properly.
jshsakuraDefine risk-based test scope and acceptance criteria for software releases.
JGalegoVerifies AI-generated claims against source documents using lexical overlap scoring and optional grounding models.
beratcelik1Orchestrate parallel and sequential multi-agent workflows for research, code review, and pipelines.
drillanAudit release artifacts and documentation for version alignment and completeness.
