by vessl-ai · Agent Tool · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install hyperpocket_langchainTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 51 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 7 |
| Last Updated | 2025-04-11 |
| Created | 2025-01-09 |
| Platforms | python |
| Est. Tokens | ~2981k |
Hyperpocket 👛 Hyperpocket is where tools belong. Power your agent up with a pocket of tools. 👛 Introduction Hyperpocket is a tool that allows you to easily use tool and auth for agents on your machine. Start fast. Just install Hyperpocket and use it. We know you don't have time to authenticate to our server. Go securely. Not like others, you are the only one who knows your secret tokens.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: