by mrbizarro · MCP Server · ★ 368
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude mcp add phosphene -- ~/pinokio/api/phosphene.git/ltx-2-mlx/env/bin/python ~/pinokio/api/phosphene.git/agents/phosphene_mcp.pyTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 368 |
| Forks | 58 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 10 |
| Last Updated | 2026-11-11 |
| Created | 2026-04-29 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~17k |
Phosphene: free local AI video generator for Mac Run LTX-2.5 and MiniMax H3 (Hailuo) on your Apple Silicon Mac. Text-to-video and image-to-video with sound, speech, lip-sync, songs and image editing. A native Mac app, offline: no cloud, no API key, no NVIDIA GPU. Visit Phosphene official site → · Download for Mac “The low-tide sleeper”, MiniMax H3, image to video.
These tools work well together with Phosphene for enhanced workflows:
Looking for a Phosphene alternative? If you're comparing Phosphene 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.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: