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 mrmps · MCP Server · ★ 317
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is classifier-dev safe to install? View the security audit →
classifier.dev Zero-shot text classification. Plain text in, a label and a calibrated confidence out. No key, no signup. Up to a thousand texts per request. curl https://classifier.dev/spam,not+spam/Win+a+free+iPhone spam curl "https://classifier.dev/?labels=spam,not+spam&text=Win+a+free+iPhone" # same call, query form spam Single Cloudflare Worker. No database, no framework, no build step beyond esbuild. CLI npm i -g classifier-dev classify bug,feature,praise Resend, flags model fallbacks src/alerts.ts every 15 minutes; emails only when something is wrong src/feedback.ts agent feedback, feedback.now protocol - email src/privacy.ts keyed pseudonyms: nothing kept p
| Stars | 317 |
| Forks | 28 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.6554525058961/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-13 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~18k |
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classifier-dev is Zero-shot text classification over plain HTTP — no API key, no account. One Cloudflare Worker, a CLI, and an MCP server. https://classifier.dev. It is categorized as a MCP Server with 317 GitHub stars.
classifier-dev is primarily written in TypeScript. It covers topics such as api, classification, cli.
You can find installation instructions and usage details in the classifier-dev GitHub repository at github.com/mrmps/classifier-dev. The project has 317 stars and 28 forks, indicating an active community.
classifier-dev is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to classifier-dev on Agent Skills Hub include agentic-radar, mcpm.sh, agnix. 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: