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 agentmods add skills/alekseiul/sprut-agent-kit/analyticsnpx skills add AlekseiUL/sprut-agent-kit --skill analyticsgit clone --depth 1 https://github.com/AlekseiUL/sprut-agent-kitWrote 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/alekseiul/sprut-agent-kit/analytics)<a href="https://agentmods.dev/skills/alekseiul/sprut-agent-kit/analytics"><img src="https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/analytics.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 | $0.00029 | $0.00832 |
| Opus 5 | $0.00015 | $0.00416 |
| Sonnet 5 | $0.00006 | $0.00166 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
analytics 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics - Статистика каналов
Возможности
Telegram (YOUR_CHANNEL)
- Подписчики (точное число)
- Просмотры, репосты, реакции каждого поста
- ERR (Engagement Rate by Reactions)
- Топ постов за период
- Фильтр по периоду: 24h, 7d, 30d
YouTube (YOUR_YOUTUBE_HANDLE)
- Просмотры, лайки по каждому видео (RSS, бесплатно)
- С API-ключом: подписчики, комментарии, полная стата
Скрипты
Telegram
# Полная статистика за 7 дней
python3 skills/analytics/scripts/tg-stats.py --period=7d
# За сутки
python3 skills/analytics/scripts/tg-stats.py --period=24h
# За месяц, топ-10
python3 skills/analytics/scripts/tg-stats.py --period=30d --top=10
# JSON формат (для парсинга)
python3 skills/analytics/scripts/tg-stats.py --period=7d --json
YouTube (RSS - быстрый)
python3 skills/analytics/scripts/yt-stats.py
python3 skills/analytics/scripts/yt-stats.py --json
YouTube (Analytics API - полная стата)
# За 30 дней (по умолчанию)
python3 skills/analytics/scripts/yt-deep-stats.py
# За 7 дней
python3 skills/analytics/scripts/yt-deep-stats.py --days=7
# JSON
python3 skills/analytics/scripts/yt-deep-stats.py --days=30 --json
Глубокая аналитика: подписчики gained/lost, watch time, avg view duration, источники трафика, топ видео с удержанием.
Настройка
Telegram (готово ✅)
- Авторизация: Telethon session в
~/.openclaw/tg-stats-session - Скрипт авторизации:
scripts/tg-stats-auth.py - API ID: задайте через TG_API_ID env
- Канал: YOUR_CHANNEL (ID: -1002484275132)
YouTube (готово ✅)
- OAuth2 токен:
~/.openclaw/yt-analytics-token.pickle - Скрипт авторизации:
scripts/yt-analytics-auth.py - Channel ID: YOUR_CHANNEL_ID
- Google OAuth client: тот же что для gog (calendar)
Безопасность
- Все данные read-only
- Telethon session локально на local server
- Никакие данные не отправляются наружу
- Бот в канале с минимальными правами (только can_post_messages)
🔗 Связанные скиллы
| Скилл | Связь |
|---|---|
creator-marketing |
Маркетолог использует данные analytics для рекомендаций по контенту |
copywriter |
Смотрит какие посты лучше заходят перед написанием новых |
youtube-seo |
Оптимизирует SEO на основе реальных данных (источники трафика, топ видео) |
What ships with it
7 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.
- 4d ago First seen · 103 lines · 29 tokens per session scan A d856b43fd635
analytics is a skill published in the GitHub repository AlekseiUL/sprut-agent-kit (63 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 832 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 2026-08-30.
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