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FANzR-arch / Numerologist_skills

🔮 An engineering framework to stop LLM hallucinations in Chinese astrology. / 给“赛博半仙”戴上紧箍咒:减少幻觉、固定排盘步骤的奇门遁甲与紫微斗数 AI skills。

▲ ~21/7d ★ 1.5k Python 6d ago
2akouwu / reverify

Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.

▲ ~21/7d ★ 1.3k Python 21d ago
chrisryugj / korean-law-mcp

법제처 국가법령정보를 LLM에서 바로 조회하는 MCP 서버. 법령·판례·조례 검색과 인용 검증 | MCP server for Korean law — search statutes, precedents, and ordinances, and verify citations

▲ ~14/7d ★ 2.8k TypeScript 7d ago
meizhong986 / WhisperJAV

ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV

▲ ~14/7d ★ 2.4k Python 9d ago
future-agi / future-agi

Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.

▲ ~7/7d ★ 2.2k Python today
LukasNiessen / terrashark

Terraform Skill for Claude Code and Codex. LLMs hallucinate a lot with Terraform - TerraShark fixes this. It eliminates hallucinations, is designed for modular and secure code and grounds your IaC in the official Hashicorp Terraform best practices.

▲ ~7/7d ★ 720 4d ago
APUS-AI-Lab / fast-browser-use

A fast browser-use skill powered by local LLMs via single-token reflexes. Fast, local-first, zero hallucinations.

▲ ~7/7d ★ 232 Python 1mo ago
onestardao / WFGY

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

▲ ~0/7d ★ 1.8k Jupyter Notebook 1d ago
cvs-health / uqlm

[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification

▲ ~0/7d ★ 1.2k Python 8d ago
MigoXLab / dingo

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

▲ ~0/7d ★ 759 Python 2d ago
ggozad / haiku.rag

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

▲ ~0/7d ★ 634 Python 1d ago
HowieHwong / TrustLLM

[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.

▲ ~0/7d ★ 632 Python 17d ago
KRLabsOrg / LettuceDetect

Span-level grounding verification for RAG, code, and tool-grounded AI outputs.

▲ ~0/7d ★ 618 Python 13d ago
matrixorigin / memoria

Secure memory management for AI Agents • Ensures data integrity • Reduces hallucinations • Maintains consistent long-term context

▲ ~0/7d ★ 614 Rust today
chrisyangsong / citegate

Citation integrity as a CI gate: verify BibTeX references against Crossref & OpenAlex, catch hallucinated citations, get alerted when a cited paper is retracted.

▲ ~0/7d ★ 102 Python 1mo ago
mmlong818 / open-academic-paper-gen

Multi-agent pipeline that turns a research topic into a draft paper grounded in real literature, with citation hallucination detection and claim-support checking.

▲ ~0/7d ★ 68 Python 15d ago
final-bench / ongrid

ONGRID — Ontology-Native Graph · Retrieval · Inference · Decision. 3D knowledge graph + zero-token ZTC answer verification. by VIDRAFT.

▲ ~0/7d ★ 34 HTML 8d ago
nayakbhupen / Spnda

Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy)

▲ ~0/7d ★ 33 Python 1mo ago
Zachariah9420 / lit-review-skill

Literature-fetching & citation-auditing skill for LLM agents (Claude/Codex) — 讓 AI 引用經得起追問:找文獻、查核引用真偽與支持度、文獻支撐寫作,防幻覺引用。

▲ ~0/7d ★ 32 Python 8d ago
PillCrew / claimchain

Verify that an AI agent's on-chain claims are actually true. A claim-level groundedness checker for Solana / memecoin agents.

▲ ~0/7d ★ 30 Python 1mo ago
manojmallick / sigmap

~97% token reduction for AI coding sessions — zero deps, 38 languages, MCP server