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 victorserpa · Codex Skill · ★ 7
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is objection safe to install? View the security audit →
OBJECTION! A skill and plugin for AI coding agents (Claude Code, Codex, Cursor, Gemini): accusers, a defender and a judge review the PR, and a gate blocks it until APPROVED.
| Stars | 7 |
| Forks | 0 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.430144833889/100 |
| Last Updated | 2026-10-01 |
| Created | 2026-09-24 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~19k |
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objection is OBJECTION! A skill and plugin for AI coding agents (Claude Code, Codex, Cursor, Gemini): accusers, a defender and a judge review the PR, and a gate blocks it until APPROVED.. It is categorized as a Codex Skill with 7 GitHub stars.
objection is primarily written in Shell. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the objection GitHub repository at github.com/victorserpa/objection. The project has 7 stars and 0 forks, indicating an active community.
objection is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to objection on Agent Skills Hub include agent-skills, agent-skills, data-structure-protocol. 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: