by rohanarun · Codex Skill · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx -y github:rohanarun/computer-use-cache install all
npx -y github:rohanarun/computer-use-cache startTaken 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 | 50 |
| Forks | 12 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-06-04 |
| Platforms | browser, claude-code, codex, node |
| Est. Tokens | ~7k |
Computer-Use Cache Stop paying twice for the same computer-use task. Replay repeated browser, coding, and tool workflows at near-zero cost through a drop-in OpenAI-compatible API. <p align
These tools work well together with computer-use-cache for enhanced workflows:
Looking for a computer-use-cache alternative? If you're comparing computer-use-cache with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A collection of AI agent skills for Clawdbot, Claude Code, Codex
Turn your Claude Pro/Max subscription into an OpenAI-compatible API for your IDEs and devices — LAN auth, per-
Battle-tested skill library for AI agents. Save 98% of API costs with ready-to-use code for crypto, PDFs, sear
elastic inference for your agentic workloads, on your terms
Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f
On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search
Explore other popular codex skill tools:
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: