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Use when the user needs a verified, multi-model consensus answer for complex, high-stakes tasks. Invoke the PolyGnosis v3 adversarial debate pipeline: 3+ models solve independently with dynamic specializations and asymmetric tool allocation, a critic cross-reviews all solutions, severe bugs are logged to a Reflexion buffer, formal RRF+Borda ranking determines the winner, a Constitutional Quality Gate prevents synthesis regressions. Early Resolution circuit bypasses critique+scoring when solvers reach unanimous consensus. Do NOT use for simple queries or syntax fixes.
polygnosis is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # PolyGnosis (v3 — Enterprise) Adversarial multi-model consensus protocol for Hermes Agent. When a user asks a complex, high-stakes question — architectural des. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding polygnosis to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install mosesman831/PolyGnosisReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# PolyGnosis (v3 — Enterprise) Adversarial multi-model consensus protocol for Hermes Agent. When a user asks a complex, high-stakes question — architectural design, security-critic