by NachoSEO · Agent Tool · ★ 153
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git clone https://github.com/NachoSEO/claudegram.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 | 153 |
| Forks | 54 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 71/100 |
| Open Issues | 4 |
| Last Updated | 2026-03-24 |
| Created | 2026-01-25 |
| Platforms | claude-code, node |
| Est. Tokens | ~17k |
Claudegram Your personal AI agent, running on your machine, controlled from Telegram. What is this? Claudegram bridges Telegram to a full Claude Code agent running locally on your machine. Send a message in Telegram — Claude reads your files, runs commands, writes code, browses Reddit, fetches Medium articles, transcribes voice notes, and speaks responses back. All from your phone.
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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: