by LinklyAI · MCP Server · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add LinklyAI/linkly-ai-skills
npx skills add LinklyAI/linkly-ai-skills -a claude-code
Taken 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 | 67 |
| Forks | 3 |
| Language | Shell |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 74/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-03 |
| Created | 2026-03-03 |
| Platforms | cli, mcp |
| Est. Tokens | ~12k |
Linkly AI Skills Agent Skills for Linkly AI — search, browse, and read your local documents (and linked cloud libraries) from any AI coding agent. This skill teaches AI agents how to use Linkly AI's document search capabilities, enabling them to find and read your locally indexed documents (PDF, Markdown, DOCX, PPTX, TXT, HTML, and more) as well as cloud libraries you've linked via Linkly Web.
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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: