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 sanjar-x/claudegram --skill tg-digestgit clone --depth 1 https://github.com/sanjar-x/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/sanjar-x/claudegram/tg-digest)<a href="https://agentmods.dev/skills/sanjar-x/claudegram/tg-digest"><img src="https://agentmods.dev/badge/skills/sanjar-x/claudegram/tg-digest/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/sanjar-x/claudegram/tg-digest"><img src="https://agentmods.dev/badge/skills/sanjar-x/claudegram/tg-digest.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 | $0.00057 | $0.00390 |
| Opus 5.5 | $0.00023 | $0.00156 |
| Sonnet 5.5 | $0.00011 | $0.00078 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
tg-digest 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 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- tg-digest — 100% identical, 0 lines differ
What it actually says
Собери сводку непрочитанных сообщений из Telegram.
Параметр $chat_limit (по умолчанию 20) ограничивает число чатов.
Алгоритм:
- Вызови
mcp__plugin_claudegram_claudegram__list_chatsсonly_unread=trueиlimitравным$chat_limit(если пусто —20). - Для каждого чата с непрочитанными вызови
mcp__plugin_claudegram_claudegram__get_historyсlimit=min(unread_count, 20). - Сгруппируй по чатам и выдай сводку на русском:
- Чат (тип, имя, кто пишет)
- 1-2 строки сути сообщений
- Если есть прямой вопрос ко мне — выдели жирным
- В конце — список чатов, требующих срочного ответа.
Не помечай прочитанными автоматически. Если попрошу — вызовешь
mcp__plugin_claudegram_claudegram__mark_read.
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 · 30 lines · 57 tokens per session scan A dd52273ef403
tg-digest is a skill published in the GitHub repository sanjar-x/claudegram (2 stars, last pushed 6mo ago), licensed MIT. It adds 57 tokens to every session and 390 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
monday-planning
Suggest a weekly training structure from recent load and deliver the plan.
fresh-start
Continue in a new chat without losing anything — writes a compact handoff to paste into a fresh conversation. Use whenever the user wants to move to a new chat or conversation, hits usage limits, says replies got slow or Claude forgets earlier details, or the conversation has grown long.
token-check
Estimate how many tokens a pasted text, an attached file or the conversation so far takes, what it means for the context window and usage limits, and how to cut it. Use when the user asks how big something is in tokens, why they keep hitting limits, or whether a file is too large to send.
ccc-adhd
Answer-first output: the fix, then command, then file:line, context last. Toggle on, off or status; stacks with caveman. Based on ayghri/i-have-adhd (MIT). Use when the user wants the answer first.
map
Ask which orc command, skill, or flow fits your situation — the router over everything orc ships.
ccc-resume-session
Resume a saved session file: read it fully, then brief state, blockers and next step before any work. Use when continuing earlier work.