Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by horang-labs · Codex Skill · ★ 310
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tessera safe to install? View the security audit →
Tessera Keep parallel AI coding work organized. Tessera helps you run Claude Code, Codex, and OpenCode side by side without losing track of sessions, files, branches, diffs, or pull requests. Product Demos Projects, collections, sessions, tabs, and panes Organize AI coding work by project and collection, then open sessions across persistent tabs and split panes. Terminal and file tabs Open agent sessions, terminals, and files as movable tabs so you can reshape the workspace around the work instead of switching tools. Kanban board workflow Move implementation work through Todo, Doing, Review, and D
| Stars | 310 |
| Forks | 29 |
| Language | TypeScript |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 67.6582357446733/100 |
| Open Issues | 15 |
| Last Updated | 2026-10-03 |
| Created | 2026-04-29 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
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Explore other popular codex skill tools:
tessera is Tessera — a workspace for organizing AI coding sessions across projects, collections, tabs, panes, and Git worktrees. It is categorized as a Codex Skill with 310 GitHub stars.
tessera is primarily written in TypeScript. It covers topics such as claude-code, codex, coding-agent.
You can find installation instructions and usage details in the tessera GitHub repository at github.com/horang-labs/tessera. The project has 310 stars and 29 forks, indicating an active community.
tessera is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to tessera on Agent Skills Hub include palot, kangentic, OpenContext. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: