by friday-platform · MCP Server · ★ 97
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/friday-platform/friday-studio
git clone https://github.com/friday-platform/friday-studio-examplesTaken 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 | 97 |
| Forks | 5 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 65/100 |
| Open Issues | 61 |
| Last Updated | 2026-08-08 |
| Created | 2026-04-23 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~18k |
Friday Studio Friday turns natural-language asks into repeatable AI-powered workflows. You describe what you want in chat — "every morning, triage my inbox, draft replies, file real asks as Linear tickets" — and the result is a you can read, version, share, and run on schedule. Run it once, or run it forever. Why both a chat and a YAML? Prompts decay.
These tools work well together with friday-studio for enhanced workflows:
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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: