Unified Reasoning

Unified Reasoning Engine with FoT optimization - Combines ToT, GoT, Self-Consistency, and Meta-Reasoning with parallel execution and caching for 2-5x speedup

This package appears incomplete: the wrapper (unified_wrapper.py) and SKILL.md expect a core implementation file (unified_reasoning.py) and a PowerShell script (reasoning-engine.ps1) that are not included. Before installing or enabling this skill: 1) Ask the publisher for the missing files or a complete distribution and verify their contents. 2) Do not run the skill in production or give it high trust until you can inspect unified_reasoning.py and any .ps1 scripts for network calls, credential access, or filesystem reads. 3) If you must test, run it in an isolated sandbox and monitor outbound connections. 4) If the publisher states the implementation is fetched at runtime, insist on the exact source URL and verify that URL is a trusted release host (e.g., official repo release) before allowing the skill to fetch and execute code. If the missing files are provided and they match the described behavior (no unexpected credential access, no remote endpoints), the assessment may change to benign.

Type: OpenClaw Skill Name: unified-reasoning Version: 2.0.0 The provided files (`_meta.json`, `SKILL.md`, `unified_wrapper.py`) show no evidence of malicious intent or suspicious behavior. The `SKILL.md` serves as documentation for a reasoning engine, containing descriptive text and usage examples in PowerShell, but no instructions for prompt injection against the agent or commands to execute outside the skill's stated purpose. The `unified_wrapper.py` is a standard Python wrapper that loads a local Python module (`unified_reasoning.py`) from the same directory, which is a common and benign practice for skill modularization. The core logic in `unified_reasoning.py` is not provided, but the wrapper itself does not exhibit any risky capabilities like arbitrary file access, network calls, or dynamic code execution from untrusted sources.