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 alexgreensh · Codex Skill · ★ 153
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is outsourcerer safe to install? View the security audit →
Your frontier model is doing grep. Outsourcerer routes each job to the best-value capable lane available, brings in a stronger model (or a whole panel of them) when it matters, and shows you the receipt. You already pay for a fleet of AIs: Claude, Co
| Stars | 153 |
| Forks | 12 |
| Language | Shell |
| Category | Codex Skill |
| Quality Score | 53.8927430551867/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-07-10 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~18k |
These tools work well together with outsourcerer for enhanced workflows:
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outsourcerer is Make your AI coding tools work as one team. Route jobs across Claude, Codex, Cursor, Devin, Gemini, OpenRouter, and local models, carry your setup with them, and track every cost.. It is categorized as a Codex Skill with 153 GitHub stars.
outsourcerer is primarily written in Shell. It covers topics such as agent-skills, agentic-workflow, claude-code.
You can find installation instructions and usage details in the outsourcerer GitHub repository at github.com/alexgreensh/outsourcerer. The project has 153 stars and 12 forks, indicating an active community.
The top alternatives to outsourcerer on Agent Skills Hub include hcom, maestro, turbo-flow. 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: