by noXplode · Agent Tool · ★ 191
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 | 191 |
| Forks | 45 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 9 |
| Last Updated | 2024-12-26 |
| Created | 2020-08-27 |
| Platforms | python |
| Est. Tokens | ~4k |
Date Selection tool for Aiogram Telegram Bots Description A simple inline calendar, date selection tool for aiogram telegram bots written in Python. Offers two types of date pickers: Navigation calendar - user can either select a date or move to the next or previous month/year by clicking a singe button. Dialog calendar - user selects year on first stage, month on next stage, day on last stage.
Looking for a aiogram_calendar alternative? If you're comparing aiogram_calendar with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Control Claude Code, Codex CLI and Gemini CLI from Telegram. Live streaming, persistent memory, cron jobs, web
An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul
MCP Server for Telegram
Anthropic Claude & Google Bard Bot for Telegram.
Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent c
Guardrail capabilities for Pydantic AI — cost tracking, prompt injection detection, PII filtering, secret reda
Explore other popular agent 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: