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 tdimino/claude-code-minoan --skill telegramgit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/telegram)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/telegram"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/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/tdimino/claude-code-minoan/telegram"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/telegram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, 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 Privilege Escalation · line 21 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 43 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 311 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 206 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 241 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Privilege Escalation · line 311 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00147 | $0.03614 |
| Opus 5 | $0.00073 | $0.01807 |
| Sonnet 5 | $0.00029 | $0.00723 |
| Haiku 4.5 | $0.00015 | $0.00361 |
Grade B, and why
telegram scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
`~/.config/env/secrets.env` (chmod 600). How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telegram
Send, read, and respond to Telegram messages through a Claudicle Telegram bot.
This skill is the thin Claude-facing layer over the python-telegram-bot v22
polling adapter at ~/.claudicle/adapters/telegram/. Send scripts use REST
directly (via requests), not asyncio, so they work reliably inside any
subprocess or skill invocation.
Portability
This skill is machine-agnostic. It depends only on:
- The Claudicle adapter directory at
~/.claudicle/adapters/telegram/(set up by the Claudicle framework / theclaude-code-minoandistribution). - A Telegram bot token in
~/.config/env/secrets.env. - Python 3.9+ for the REST-based send/status/callback scripts; Python 3.10+ for the listener.
All paths resolve from Path.home(). No machine-specific hardcoded paths.
The Mazkir integration and the launchd deployment notes below are concrete
examples of how one operator (Tom) runs the skill — they describe a pattern,
not a requirement. The skill is fully usable without any of that.
When to Use This Skill
- Send a Telegram message (text, Markdown, HTML, reply threading)
- Build an approval gate with inline keyboard buttons (tap-to-approve/reject flows)
- Check the shared inbox for unhandled Telegram messages
- Read pending callback queries from tapped buttons
- Answer a callback query (clear the spinner, show a toast to the user)
- Check bot identity and listener health before debugging a failed send
- Load Telegram memory context (working memory, user models, soul state)
- Launch the full cognitive pipeline on unhandled messages via
/telegram-respond
Prerequisites
TELEGRAM_BOT_TOKENin~/.config/env/secrets.envpip install --break-system-packages requests(send/status/callback scripts)pip install --break-system-packages python-telegram-bot(only for the listener)- Python 3.10+ for the listener. Python 3.9 has an asyncio event loop bug
that breaks
CallbackQueryHandlerinpython-telegram-botv22. On macOS the listener must use/opt/homebrew/bin/python3(Homebrew Python 3.14), not/usr/bin/python3(system 3.9). The skill'stelegram_send.py,telegram_status.py, andtelegram_callback.pyuse REST instead and work on any Python 3.9+. - A bot created via @BotFather. Tom's instance runs
@claudicle_bot(ID: 8646522411); yours will differ. - Your Telegram user ID for DMs, or a group/channel chat ID. Find your own user ID by DM'ing @userinfobot.
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.
- 8d ago First seen · 343 lines · 147 tokens per session scan B e27c7a994dec
telegram is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It adds 147 tokens to every session and 3,614 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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