No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by amplifthq · Codex Skill · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opentag safe to install? View the security audit →
English · 简体中文 OpenTag Open-source agent mentions for the apps where work happens. Claude Tag made the interface obvious: mention an agent where work already happens and get the result back in the thread. OpenTag is the open version: a work thread mention becomes a scoped run, an approved local or hosted runner executes Claude Code, Codex, or your own agent, and the result returns to the source thread with an audit trail. OpenTag is not another AI workspace. It brings agents to the work item thread you already use.
| Stars | 1,378 |
| Forks | 78 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.8645102696257/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-28 |
| Created | 2026-06-24 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~16k |
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opentag is Mention any ACP coding agent from Slack, GitHub, GitLab, Linear, or Lark. OpenTag runs Claude Code, Codex, Cursor and more on your own machine, then replies in-thread with verified, evidence-backed re. It is categorized as a Codex Skill with 1.4k GitHub stars.
opentag is primarily written in TypeScript. It covers topics such as acp, agent-client-protocol, ai-agents.
You can find installation instructions and usage details in the opentag GitHub repository at github.com/amplifthq/opentag. The project has 1.4k stars and 78 forks, indicating an active community.
opentag is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to opentag on Agent Skills Hub include openyak, OpenACP, pilot-shell. 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: