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 uvwt/agentdock-skills --skill telegram-officialgit clone --depth 1 https://github.com/uvwt/agentdock-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/uvwt/agentdock-skills/telegram-official)<a href="https://agentmods.dev/skills/uvwt/agentdock-skills/telegram-official"><img src="https://agentmods.dev/badge/skills/uvwt/agentdock-skills/telegram-official.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 5.1 | $0.00023 | $0.00388 |
| Opus 5 | $0.00012 | $0.00194 |
| Sonnet 5 | $0.00005 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
telegram-official 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 8d 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
Telegram Official Bot API Skill
通过 Telegram 官方 Bot API 给 Dock 发送通知。
能力
send：发送普通文本消息。event：发送格式化的 Dock 事件通知。updates：读取精简后的getUpdates输出，用于发现chat_id。health：调用getMe验证 token 和官方 API 连通性。
安全
- 只访问
https://api.telegram.org。 - 不登录 Telegram 个人号，不读取用户私聊历史。
- 不依赖第三方 Telegram SDK、MCP server 或代理服务。
- 不接受 token 作为 action input 或 CLI 参数。
- token 只从
TELEGRAM_BOT_TOKEN/TG_BOT_TOKEN/.env读取。
辅助脚本执行
Skill 本体是本说明文档。确需调用包内辅助脚本时，在 Skill 包根目录使用相对路径执行；运行宿主负责切换到包根目录并把所需变量注入当前子进程。
printf '%s' '{"skill_action":"<动作>"}' | python3 run.py
输入必须是 JSON 对象。写操作仍按本文档中的确认规则执行。
| 动作 | 用途 |
|---|---|
send |
Send a text message to the configured Telegram chat. |
event |
Send a formatted Dock event notification. |
updates |
Read compact getUpdates output to discover chat ids. |
health |
Call getMe to verify token and official Bot API connectivity. |
What ships with it
3 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.
- 8d ago First seen · 42 lines · 23 tokens per session scan A 242467cf2648
telegram-official is a skill published in the GitHub repository uvwt/agentdock-skills (3 stars, last pushed 7d ago), licensed Apache-2.0. It adds 23 tokens to every session and 388 once invoked, about $0.0001 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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