Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/narumiruna/telegram-bot/aiogram-frameworknpx skills add narumiruna/telegram-bot --skill aiogram-frameworkgit clone --depth 1 https://github.com/narumiruna/telegram-botWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/narumiruna/telegram-bot/aiogram-framework)<a href="https://agentmods.dev/skills/narumiruna/telegram-bot/aiogram-framework"><img src="https://agentmods.dev/badge/skills/narumiruna/telegram-bot/aiogram-framework.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00065 | $0.00368 |
| Opus 5 | $0.00032 | $0.00184 |
| Sonnet 5 | $0.00013 | $0.00074 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
aiogram-framework scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Aiogram Framework
Overview
Use this skill to design or modify aiogram-based bots in this repository with v3 patterns and the local docs/examples.
Workflow
- Choose update delivery (polling vs webhook) and note any scaling or multi-bot needs. See
references/updates.md. - Define dispatcher/router layout and handler registration. See
references/quickstart.mdandreferences/handlers-filters.md. - Add filters and context injection (including custom filters) as needed. See
references/handlers-filters.mdandreferences/middleware-di-errors.md. - Add middleware and error handling for cross-cutting concerns. See
references/middleware-di-errors.md. - Add FSM if the flow is multi-step or needs user state. See
references/fsm.md. - Use utilities (keyboards, formatting, i18n) where they reduce boilerplate. See
references/utils.md. - Cross-check with local examples under
examples/before finalizing.
Reference Map
- Quickstart and project shape:
references/quickstart.md - Update delivery details:
references/updates.md - Routers/handlers/filters:
references/handlers-filters.md - Middlewares, DI, errors:
references/middleware-di-errors.md - FSM and storage:
references/fsm.md - Utilities (keyboard/formatting/i18n):
references/utils.md
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 27 lines · 65 tokens per session scan A d66dfaa577af
aiogram-framework is a skill published in the GitHub repository narumiruna/telegram-bot (1 stars, last pushed 6d ago), licensed MIT. It adds 65 tokens to every session and 368 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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