by ysr666 · Agent Tool · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @deepseek-ai/dsh plugin --profile web add dsh-vision-router
npx @deepseek-ai/dsh plugin --profile web update dsh-vision-routerTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 1,165 |
| Forks | 56 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-22 |
| Created | 2026-08-13 |
| Platforms | node |
| Est. Tokens | ~20k |
dsh-vision-router Paste an image and it just works — eyes for text-only agents on DeepSeek Harness. Free out of the box, no key, no Python, one command. DeepSeek keeps thinking; the built-in free vision chain and eleven pixel-level tools do the seeing. Image turns behave like ordinary tool-calling turns — grounded, measurable, repeatable. <a href="tes
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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: