by pavel-molyanov · Codex Skill · ★ 87
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git clone https://github.com/pavel-molyanov/telegram-ai-agent.gitTaken 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 | 87 |
| Forks | 28 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-09 |
| Created | 2026-04-25 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
Telegram AI Agent Русская версия Telegram AI Agent is an open-source Telegram bot for controlling Claude Code and Codex CLI on your VPS. It turns Telegram into a remote interface for agentic coding: open a topic for a project, send tasks from your phone, attach files or voice notes, watch progress, resume old sessions, and drive the live terminal UI when the agent needs input.
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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: