Human Review

A local command-line reference and checker for common signs of machine-written prose. It provides before-and-after examples, draft scanning, searchable patterns, and an editing guide.

An open-source agent skill for redesigning GitHub README homepages around a repository's actual content. It reads the repository first, identifies the clearest value and supporting proof, and then derives a project-specific visual system rather than applying a shared template. In whole-README mode, it works across content, visual-system, and engineering layers: it removes repetition and internal jargon, moves proof toward the opening, derives typography, color, composition, and project-native motifs, and keeps assets GitHub-safe, accessible, searchable, and copyable. The skill separates visual and content layers by using SVG for editable heroes, section transitions, comparisons, diagrams, and identity while retaining maintainable Markdown for searchable body text. It supports hybrid SVG compositions with optional AI-generated elements, local previews, and an approval step before publishing. The repository documents examples used by eight public repositories, including project-specific heroes and real outputs for slide creation, UI reconstruction, icon generation, agent delegation, vehicle telemetry, interactive mapping, and a solo werewolf game.

Jev Review is a local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev. It runs as a local Node.js server over MCP stdio and exposes a focused `jev_review` tool: an agent submits a task, focused diff, selected files, or repository context, and Jev returns structured per-dimension scores and confidence values for areas such as correctness, complexity, readability, modularity, changeability, testing, reliability, security, and documentation. When a previous evaluation is supplied, the plugin reports metric deltas, improvements, regressions, and weak dimensions rather than producing a blended overall score or prose diagnosis; the coding agent remains responsible for identifying causes and changing the code. It supports Claude Code, Codex, Cursor, and OpenCode, and is distributed directly from its GitHub repository rather than npm. The process keeps the API key locally and sends only explicitly supplied review context directly to the configured Jev API; it has no hosted backend, database, telemetry service, or author-operated proxy. The repository is licensed under MIT.

Open Code Review is an open-source, AI-powered command-line code-review tool developed from Alibaba Group’s internal review assistant. It reads Git diffs and sends changed files to a configurable LLM through an agent with tool-use capabilities; the agent can read complete files, search the repository, and inspect other changed files for context before producing structured comments tied to source lines. Its hybrid architecture combines deterministic engineering with dynamic agent decisions: deterministic stages select and bundle files, match rules to file characteristics, and apply independent comment-positioning and reflection modules, while scenario-specific prompts and tools guide context retrieval and review. The `ocr scan` command audits complete files or directories without requiring a meaningful diff, and the project provides multilingual rules for issues including null-pointer exceptions, thread safety, cross-site scripting, and SQL injection. It supports configurable model endpoints, including OpenAI- and Anthropic-compatible endpoints, and requires Git 2.41 or newer.

OpenHuman is a local-first personal AI system from tinyhumansai that combines persistent memory, agent orchestration, and research tools. It stores a user's data as scored Markdown trees in SQLite on the local machine and mirrors the result to an editable Obsidian vault; its TokenJuice component compresses tool output before it reaches the language model. Its orchestration layer runs checkpointed, durable agent workflows and worker fleets on graphs, with triggers, approvals, steering, halting, and replay support. The system also provides web search, scraping, coding tools, a browser, native voice through in-process Whisper, model routing, messaging integrations, and support for provider keys or fully local Ollama models. The repository describes it as an early beta under active development.