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 skills add itechmeat/llm-code --skill telegramgit clone --depth 1 https://github.com/itechmeat/llm-codeWrote 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/itechmeat/llm-code/telegram)<a href="https://agentmods.dev/skills/itechmeat/llm-code/telegram"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/telegram/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/itechmeat/llm-code/telegram"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/telegram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 34 Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
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 5.1 | $0.00126 | $0.00999 |
| Opus 5.5 | $0.00050 | $0.00400 |
| Sonnet 5.5 | $0.00025 | $0.00200 |
| Haiku 4.5 | $0.00013 | $0.00100 |
Grade A, and why
telegram 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telegram (Skill Router)
Router skill: pick the reference that matches your task.
Quick Navigation
| Task | Reference |
|---|---|
| New to Telegram bots | bots-overview.md |
| Bot capabilities overview | bot-features.md |
| API methods/types | bot-api.md |
| Webhook setup & security | webhooks.md |
| aiogram 3 handlers/FSM | aiogram-patterns.md |
| Keyboard UX | keyboard-design.md |
| Inline mode | inline-mode.md |
| Mini Apps (Web Apps) | mini-apps.md |
| Payments (Stars) | payments.md |
| Authentication (Login Widget, URL Auth) | authentication.md |
| Rate limits & performance | performance.md |
Critical Prohibitions
- ❌ No polling + webhooks simultaneously for same bot
- ❌ No hardcoded tokens/secrets — use environment variables
- ❌ No secrets in callback_data or logs
- ❌ No ignoring
answer_callback_query— always respond - ❌ No blocking work in webhook handlers — use background tasks
- ❌ No trusting Login Widget data without hash verification
Definition of Done
- Webhook handlers validate
X-Telegram-Bot-Api-Secret-Token - Keyboards: max 2 buttons per row, mobile-first
- Callback data validated, not trusted blindly
- Handlers are idempotent or have de-duplication
What ships with it
11 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.
- references/aiogram-patterns.md 6.4 KB
- references/authentication.md 5.0 KB
- references/bot-api.md 10 KB
- references/bot-features.md 5.0 KB
- references/bots-overview.md 2.8 KB
- references/inline-mode.md 4.5 KB
- references/keyboard-design.md 1.7 KB
- references/mini-apps.md 3.9 KB
- references/payments.md 9.7 KB
- references/performance.md 1.1 KB
- references/webhooks.md 3.5 KB
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.
- 1mo ago Changed · +1 lines c7dc13e8cb72
- 1mo ago First seen · 65 lines · 126 tokens per session scan A 115429e6cff4
telegram is a skill published in the GitHub repository itechmeat/llm-code (24 stars, last pushed 24d ago), licensed MIT. It adds 126 tokens to every session and 999 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.
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