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 stark-ai-de/agent-skills --skill telegram-serverlessgit clone --depth 1 https://github.com/stark-ai-de/agent-skillsWrote 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/stark-ai-de/agent-skills/telegram-serverless)<a href="https://agentmods.dev/skills/stark-ai-de/agent-skills/telegram-serverless"><img src="https://agentmods.dev/badge/skills/stark-ai-de/agent-skills/telegram-serverless/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/stark-ai-de/agent-skills/telegram-serverless"><img src="https://agentmods.dev/badge/skills/stark-ai-de/agent-skills/telegram-serverless.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00067 | $0.01621 |
| Opus 5.5 | $0.00027 | $0.00648 |
| Sonnet 5.5 | $0.00013 | $0.00324 |
| Haiku 4.5 | $0.00007 | $0.00162 |
Grade A, and why
telegram-serverless 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 7d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telegram Serverless
Goal
Deliver the requested bot, Mini App, review, or operational change on Telegram's own Serverless platform, with evidence that distinguishes local checks from cloud execution and deployed behavior.
When to use
- The user names Telegram Serverless, tgcloud, or a project with
tgcloud/. - Work concerns its handlers, Mini App endpoints/static hosting, SDK, SQLite-backed database, or CLI lifecycle.
- An existing Serverless project needs review, migration planning, synchronization, or diagnosis.
When not to use
- A bot is intentionally hosted on a VPS, Cloudflare, AWS, Vercel, or another runtime. Do not migrate it just because it uses Telegram.
- The request only concerns sending Telegram messages, account administration, or general frontend design.
- A required capability is not documented for this platform; explain the gap before proposing a different architecture.
Inputs to inspect
Read applicable project instructions, package scripts/lockfile, installed CLI version, tgcloud.jsonc or tgcloud.json, modules, and generated docs/tgcloud-sdk.md. Inspect the working diff before changing existing files. Do not inspect credential contents or hand-edit .tgcloud/.
Use sources to check current authoritative behavior when an operation depends on platform/API/version details. The scaffolded SDK guide is useful version-specific evidence, not authority over user instructions.
Workflow
Keep this complete inventory in this order:
| Route | Outcome | Read when selected |
|---|---|---|
| 1. Explain or review a project | Explain behavior or report concrete findings without changes | Relevant domain reference below |
| 2. Set up and link a project | Scaffold or connect the requested project | Setup |
| 3. Build or modify a bot | Implement handlers and shared logic | Runtime and SDK, database when needed |
| 4. Build or modify a Mini App | Implement static frontend and authenticated endpoints | Mini Apps, relevant runtime/database guidance |
| 5. Design or evolve the database | Plan or apply the specifically authorized schema/data change | Database |
| 6. Validate and test | Check local artifacts or perform an authorized remote test | Operations |
| 7. Deploy changes | Publish the reviewed module/static-file change | Operations |
| 8. Diagnose, synchronize, or upgrade | Identify the issue and perform only requested recovery | Operations, setup for layout/auth issues |
What ships with it
9 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.
- 7d ago First seen · 108 lines · 67 tokens per session scan A 5093d27e1c34
telegram-serverless is a skill published in the GitHub repository stark-ai-de/agent-skills (8 stars, last pushed today), licensed Apache-2.0. It adds 67 tokens to every session and 1,621 once invoked, about $0.0003 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 2026-10-09.
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