Flagged: reads agent memory. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by alexgreensh · Codex Skill · ★ 2.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is token-optimizer safe to install? View the security audit →
Audit your setup. Protect your sessions. Measure what matters.Find the ghost tokens. Score your context quality. Survive compaction. NEW in v2.0: Active Session Intelligence v1.x found the ghost tokens. v2.0 p
| Stars | 2,352 |
| Forks | 180 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 63.4642856202249/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2026-02-26 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~20k |
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token-optimizer is Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.. It is categorized as a Codex Skill with 2.4k GitHub stars.
token-optimizer is primarily written in Python. It covers topics such as agentskills, claude-code, claude-code-skill.
You can find installation instructions and usage details in the token-optimizer GitHub repository at github.com/alexgreensh/token-optimizer. The project has 2.4k stars and 180 forks, indicating an active community.
The top alternatives to token-optimizer on Agent Skills Hub include cocoindex-code, jcodemunch-mcp, tokscale. 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: