Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 56 |
| Forks | 7 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 73/100 |
| Last Updated | 2026-05-13 |
| Created | 2024-09-30 |
| Platforms | claude-code, python |
| Est. Tokens | ~5k |
Telegram AI Digest Generator Made by t.me/aizvestia Python script fetches Telegram channel messages, processes them into a digest via Claude AI, generates an image with Replicate API, and sends both to user's saved Telegram messages. Features Telegram API: Fetches messages from a Telegram channel. Claude AI: Generates a digest from the combined messages.
Looking for a telegram-ai-digest alternative? If you're comparing telegram-ai-digest with other ai tool tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
Skill to talk to Claude about your projects over the phone
.NET MAUI skills for GitHub Copilot and Claude Code
Explore other popular ai tool tools:
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: