Individual skill
ak-rss-digest
Curate a Chinese reading digest from a fixed bundle of RSS and Atom feeds, with a strong preference for AI agent thinking, frontier AI commentary, deep interviews, and non-boring high-signal essays. Use when Codex needs to pull the latest week's posts by default, or a specific day's posts when explicitly requested, summarize them, score each article on a 10-point scale, and output only the posts scoring above 7 in a concise Chinese daily-brief style.
skills/ak-rss-digest/SKILL.md
Source commit 1fb6ec5df76c01dc43fb71631b8ae6121b9251df
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- Network or broad shell
- Last checked
- Nov 10, 2026
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- Repository last updated
- Jul 25, 2026
- License
- MIT
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SKILL.mdcore · 5,816 bytesSKILL.mdcore · 5,816 bytesSKILL.mdcore · 5,816 bytesSKILL.mdcore · 5,816 bytesSKILL.mdcore · 5,816 bytesSKILL.mdcore · 5,816 bytesagents/openai.yamlasset · 306 bytesreferences/feeds.opmlasset · 13,910 bytesscripts/fetch_today_feed_items.pyruns · 11,133 bytes
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# AK RSS Digest
## Overview
Use this skill to build a current reading list from the feed bundle in `references/feeds.opml`.
Default to the most recent 7 days ending on the current date in `Asia/Shanghai`, and narrow to a single day only when the user explicitly asks for it.
## Workflow
1. Run `python3 scripts/fetch_today_feed_items.py --format json` to collect entries from the configured feeds. This defaults to the most recent 7 days.
2. Treat feed-level network failures as non-fatal. Continue with the feeds that succeeded and mention major failures only when they materially reduce coverage.
3. Read the structured output and discard obvious mismatches before opening article pages. Reject items that are clearly raw research papers, release notes, changelogs, benchmark dumps, or narrowly technical implementation logs without broader implications.
4. Open the remaining candidate links when the feed summary is too thin to judge the article well. Skim for thesis, novelty, readability, and whether the piece offers strong perspective rather than just information.
5. Score every serious candidate on the rubric below. Output only items with a score strictly greater than `7.0`.