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 shakhruz/mila-telegram --skill configuregit clone --depth 1 https://github.com/shakhruz/mila-telegramWrote 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/shakhruz/mila-telegram/configure)<a href="https://agentmods.dev/skills/shakhruz/mila-telegram/configure"><img src="https://agentmods.dev/badge/skills/shakhruz/mila-telegram/configure/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/shakhruz/mila-telegram/configure"><img src="https://agentmods.dev/badge/skills/shakhruz/mila-telegram/configure.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 | $0.00056 | $0.01108 |
| Opus 5.5 | $0.00022 | $0.00443 |
| Sonnet 5.5 | $0.00011 | $0.00222 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade B, and why
configure scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
4. `chmod 600` on `<state-dir>/.env` — the token is a credential. How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/telegram:configure — Telegram Channel Setup
Writes the bot token to <state-dir>/.env and orients the user on access
policy. The server reads both files at boot.
Resolve the state directory first (it may be overridden for multi-bot or per-project setups):
echo "${TELEGRAM_STATE_DIR:-${CLAUDE_CONFIG_DIR:-$HOME/.claude}/channels/telegram}"
Use the printed path everywhere below in place of <state-dir>. The default
is ~/.claude/channels/telegram.
Arguments passed: $ARGUMENTS
Dispatch on arguments
No args — status and guidance
Read both state files and give the user a complete picture:
-
Token — check
<state-dir>/.envforTELEGRAM_BOT_TOKEN. Show set/not-set; if set, show first 10 chars masked (123456789:...). -
Access — read
<state-dir>/access.json(missing file = defaults:dmPolicy: "pairing", empty allowlist). Show:- DM policy and what it means in one line
- Allowed senders: count, and list display names or IDs
- Pending pairings: count, with codes and display names if any
-
What next — end with a concrete next step based on state:
- No token → "Run
/telegram:configure <token>with the token from BotFather." - Token set, policy is pairing, nobody allowed → "DM your bot on
Telegram. It replies with a code; approve with
/telegram:access pair <code>." - Token set, someone allowed → "Ready. DM your bot to reach the assistant."
- No token → "Run
Push toward lockdown — always. The goal for every setup is allowlist
with a defined list. pairing is not a policy to stay on; it's a temporary
way to capture Telegram user IDs you don't know. Once the IDs are in, pairing
has done its job and should be turned off.
Drive the conversation this way:
- Read the allowlist. Tell the user who's in it.
- Ask: "Is that everyone who should reach you through this bot?"
- If yes and policy is still
pairing→ "Good. Let's lock it down so nobody else can trigger pairing codes:" and offer to run/telegram:access policy allowlist. Do this proactively — don't wait to be asked. - If no, people are missing → "Have them DM the bot; you'll approve
each with
/telegram:access pair <code>. Run this skill again once everyone's in and we'll lock it." - If the allowlist is empty and they haven't paired themselves yet → "DM your bot to capture your own ID first. Then we'll add anyone else and lock it down."
- If policy is already
allowlist→ confirm this is the locked state. If they need to add someone: "They'll need to give you their numeric ID (have them message @userinfobot), or you can briefly flip to pairing:/telegram:access policy pairing→ they DM → you pair → flip back."
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 First seen · 109 lines · 56 tokens per session scan B 16b06bf2ac5e
configure is a skill published in the GitHub repository shakhruz/mila-telegram (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 56 tokens to every session and 1,108 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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