by hamidi-dev · Codex Skill · ★ 94
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uvx --from opentab-ai opentab --demo # or: pipx run --spec opentab-ai opentab --demo
pipx install opentab-aiTaken from the project's README on GitHub. Check the security audit before running it.
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 | 94 |
| Forks | 7 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-15 |
| Created | 2026-06-03 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~20k |
OpenTab Your AI coding tools keep a tab. OpenTab opens it. Anonymized demo data — click the reel for the full-quality video. One reel, every view — trends, a calendar spend heatmap, drill from a month down to a single session, and live theming Also a web browser — opentab --web renders the same data as one self-contained, shareable page A local, standard-library terminal UI for your AI coding...
These tools work well together with opentab for enhanced workflows:
Looking for a opentab alternative? If you're comparing opentab 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.
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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: