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 kunchenguid · Agent Tool · ★ 325
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vision safe to install? View the security audit →
/vision What does your project refuse to become? Your repo has values. They are in the two hundred PRs you merged, the features you quietly declined, the bug you fixed at the root instead of the symptom. They are just not written down - so every contributor, every coding agent, and every future you re-litigates them from scratch. vision is an Agent Skill that mines what you actually build, drafts a VISION.md as a testable acceptance policy, then stress-tests it with hard hypotheticals - tempting-but-off-mission features, principle collisions, slippery slopes - whose answers only you can give. You answer them on an interactive review board, and the reasoning behind each verdict is reflected in the writing, until VISION.md is sufficient on its own for an ac
| Stars | 325 |
| Forks | 14 |
| Language | HTML |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.7080468622858/100 |
| Last Updated | 2026-09-02 |
| Created | 2026-08-09 |
| Est. Tokens | ~17k |
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vision is Agent skill that mines your repo's history to draft a VISION.md, stress-tests it with hard hypotheticals, and iterates with you on an interactive review board.. It is categorized as a Agent Tool with 325 GitHub stars.
vision is primarily written in HTML.
You can find installation instructions and usage details in the vision GitHub repository at github.com/kunchenguid/vision. The project has 325 stars and 14 forks, indicating an active community.
vision is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to vision on Agent Skills Hub include awesome-android-agent-skills, agent-skills, claude-code-skill-factory. 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: