by os-factory · MCP Server · ★ 130
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @osfactory/harTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 130 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69/100 |
| Open Issues | 7 |
| Last Updated | 2026-11-03 |
| Created | 2026-06-28 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~15k |
HAR: The open harness for AI coding workflows you can trust and verify HAR is an open-source agent harness for AI coding workflows you can trust and verify. It runs every coding agent in its own isolated, consistent worktree, with deterministic validation, verifiable proof, and full observability. Run one agent or a whole fleet, with the same quality and control.
These tools work well together with har for enhanced workflows:
Looking for a har alternative? If you're comparing har with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server
Lightweight agent orchestration dev tool that lives in your repo
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency g
MCP Fusion - The framework for AI-native MCP servers.
Git worktree-based task manager with integrated terminals for CLI coding agents
Benzi is code intelligence infrastructure for AI models. It compiles your codebase into a resolved, queryable
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: