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 Uri6407/claudegram --skill tg-replygit clone --depth 1 https://github.com/Uri6407/claudegramWrote 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/uri6407/claudegram/tg-reply)<a href="https://agentmods.dev/skills/uri6407/claudegram/tg-reply"><img src="https://agentmods.dev/badge/skills/uri6407/claudegram/tg-reply.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 | $0.00028 | $0.00357 |
| Opus 5 | $0.00014 | $0.00179 |
| Sonnet 5 | $0.00006 | $0.00071 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
tg-reply 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.
This is a copy
100% identical to tg-reply — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Ответ на конкретное сообщение в Telegram.
Аргументы пришли как: $ARGUMENTS
Парсинг:
- Чат — первое слово.
- message_id — второе слово, целое число.
- Текст — всё остальное.
Алгоритм:
- Разбери
$ARGUMENTS. Если хотя бы одного из трёх не хватает — попроси уточнить. - Если чат —
@username, преобразуй черезresolve_username. - Подтяни через
get_history(chat=..., limit=1, offset_id=<message_id>+1)сообщение с нужным id и покажи мне его текст и автора — чтобы я убедился, что отвечаешь на правильное. - Покажи мне финальный текст ответа.
- Жди подтверждения «отправляй».
- Вызови
send_message(chat=..., text=<текст>, reply_to=<message_id>). Если в тексте есть символы Markdown без намерения форматирования —parse_mode="none". - Покажи id ответа.
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 · 33 lines · 28 tokens per session scan A 3a89f1320f9d
tg-reply is a skill published in the GitHub repository Uri6407/claudegram (2 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 357 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to tg-reply, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
meeting-notes
Use when the user asks to capture, structure, or summarize meeting notes / call notes / 1:1 discussion / standup notes. Produces a standard template with attendees, agenda, decisions, action items (owner + deadline), and open questions.
ha-settings
Manage Hope Agent application settings through conversation. Use when the user wants to view or change any app configuration: theme, language, enhanced focus indicators, proxy, temperature, notifications, tool timeout, context compaction, automatic session titles, web search, GitHub issue reporting, memory, embedding…
workflow-creator
Turn a repeatable multi-step task into a runnable, reusable saved workflow through guided conversation, in either of two shapes — chaining existing skills/recordings (wiring each one's output into the next's input), or composing the workflow script's own primitives (agent/parallel/pipeline) directly when the task…
cron-task-creator
A scheduler for recurring octo agent tasks. Each task contains a schedule and a prompt, so octo can run an agent turn automatically at the specified times.
resume-crafting
A career-writing aid for turning a résumé or cover letter into clear evidence of results. It uses measurable outcomes and adapts the wording to a job description and applicant-tracking systems, or ATS tools that scan applications for relevant terms.
messaging
Send messages to users via WhatsApp and other connected channels. Use when asked to notify someone, send a message, reply to a contact, message a group, or proactively communicate through WhatsApp. Supports text, images, documents, audio, video, and stickers. Also provides group etiquette for observing group…