by vkorost · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Full audit →
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 | 61 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 57/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-27 |
| Created | 2026-10-24 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~17k |
ScreenPlink This is a laser shooting game. Your monitor is the target. You shoot your own monitor with either a laser training pistol or with your own gun & laser bullet. A webcam watches the monitor (instead of watching you), the app figures out which pixel you hit, punches a bullet hole there and plays the shot. Targets fall, scores count, the gun's magazine runs dry.
These tools work well together with screenplink for enhanced workflows:
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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: