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 gesta-run · Codex Skill · ★ 71
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is subpool safe to install? View the security audit →
Enterprise AI subscription quota allocation and governance, self-hosted. Subpool is a self-hosted control plane for allocating, governing, and auditing AI subscription capacity across teams. Administrators combine authorized subscription and API accounts into pools, distribute employee-specific keys, monitor remaining quota, and expose one consistent API without storing conversation content. Features Pool authorized subscription and API capacity behind one managed endpoint. Allocate employee-specific keys across healthy provider accounts. Monitor account health, remaining subscription capacity, and reset availability. Keep key-to-accou
| Stars | 71 |
| Forks | 7 |
| Language | Go |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67.8185721879086/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-09-02 |
| Platforms | claude-code, codex, go |
| Est. Tokens | ~16k |
These tools work well together with subpool for enhanced workflows:
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subpool is A lightweight, self-hosted AI subscription pool for teams.. It is categorized as a Codex Skill with 71 GitHub stars.
subpool is primarily written in Go. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the subpool GitHub repository at github.com/gesta-run/subpool. The project has 71 stars and 7 forks, indicating an active community.
subpool is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to subpool on Agent Skills Hub include deepcontext-mcp, deterministic-agent-control-protocol, agent-cli-to-api. 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: