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使用極致省 Token 模式分析網頁內容。自動清洗廣告與雜訊，適合分析長篇文章。
eco-analyzer is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 55/100. ### 概述 本技能提供極致省 Token 的網頁內容分析功能，透過外部 Python 腳本 (`eco_engine.py`) 與 `trafilatura` 進行內容清洗，並使用 `google-genai` SDK 進行摘要。 ### 安裝需求 1. 確保 Python 虛擬環境 (`venv`) 已安裝必要的依. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding eco-analyzer to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install Cheerhuan/save-your-tokenReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
### 概述 本技能提供極致省 Token 的網頁內容分析功能，透過外部 Python 腳本 (`eco_engine.py`) 與 `trafilatura` 進行內容清洗，並使用 `google-genai` SDK 進行摘要。 ### 安裝需求 1. 確保 Python 虛擬環境 (`venv`) 已安裝必要的依賴： ```bash pip insta