Skill profile

aiogram-framework

Build, refactor, or troubleshoot Telegram bots using aiogram v3.

What this skill does for you

Build, refactor, or troubleshoot Telegram bots using aiogram v3. Use when working with aiogram routers/handlers/filters, Dispatcher lifecycle, update delivery (long polling or webhook), FSM, middleware/DI, error handling, or aiogram utilities like keyboards, formatting, and i18n.

Quoted from the skill description in the pinned source

Who made it

Publishernarumiruna

Repositorytelegram-bot

Installs351as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the aiogram-framework skill from narumiruna/telegram-bot.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 1e9add69f0122e0f4e64d6ca7d2f9405ec486c4a. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 1e9add69f0122e0f4e64d6ca7d2f9405ec486c4a. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 1e9add69f0122e0f4e64d6ca7d2f9405ec486c4a. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/narumiruna/telegram-bot
Pinned skill file: View source at revision
Revision: 1e9add69f0122e0f4e64d6ca7d2f9405ec486c4a
Package hash: sha256:0b540eee63c708a3bf0e30debf561fe7deba1fde0a161f94a1459b552284206f
Licence: MIT