| name | ak-rss-digest |
| description | Curate a Chinese reading digest from fixed RSS and Atom feeds, focused on AI agents, frontier AI, deep interviews, and high-signal tech essays. |
| metadata | {"marketbot":{"emoji":"📰","triggers":["rss digest","reading digest","ai digest","tech digest","rss 摘要","阅读摘要","技术日报","ai 日报","阅读精选"],"output":"ai-reading-digest","risk":"low","freshness":"live","tools":["exec","web_fetch"],"required_tools":["exec"],"markets":["global"],"asset_classes":["macro"],"task_type":"research","determinism":"script-backed","priority":72}} |
AK RSS Digest
Use this skill to build a Chinese reading digest from the fixed feed bundle in
references/feeds.opml.
Default to the most recent 7 days ending on the current date in
Asia/Shanghai. Narrow to a single day only when the user explicitly asks.
Workflow
- Run
python3 scripts/fetch_today_feed_items.py --format json from this skill
directory using exec.
- Treat feed-level network failures as non-fatal. Continue with the feeds that
succeeded and mention major failures only when they materially reduce
coverage.
- Read the structured output and discard obvious mismatches before opening
article pages.
- If a feed summary is too thin to judge well, use
web_fetch on the article
URL to inspect the thesis and novelty.
- Score candidates on a 10-point scale and output only items strictly above
7.0.
- If nothing qualifies, say so directly instead of padding the output.
Selection heuristics
Prefer:
- fresh thinking about AI agents, agent tooling, evaluation, deployment, or
failure modes
- deep interviews or operator commentary with concrete experience
- readable essays with original strategic or product insight
- high-signal technical writing that is useful beyond a narrow niche
Reject or penalize:
- raw papers and paper summaries with little interpretation
- release notes, changelogs, benchmark dumps, and implementation diaries
- vendor marketing, launch fluff, and obvious rewrites
- dry reference material without strong insight
Scoring rubric
9-10: exceptional fit, original insight, clearly worth the reader's time
8-8.9: strong recommendation, relevant and readable
7-7.9: borderline, do not include in the final digest
5-6.9: competent but dry, narrow, or weakly aligned
<5: irrelevant or low-signal
Weigh:
- relevance to AI agents, frontier AI, or adjacent strategic technology
- originality of argument or reporting
- readability
- practical usefulness for staying current
Output format
Write the final answer in Simplified Chinese. For each item above 7, include:
Use a concise daily-brief style. Keep each item compact and scannable.
Example:
本期从最近一周的 RSS 里筛出几篇值得看的文章,重点偏 AI agent、前沿判断和不太枯燥的深度内容。
- 标题:文章标题
评分:8.7/10
推荐语:先说为什么值得看。
摘要:严格两句话,讲清核心观点和价值。
链接:文章链接
If nothing qualifies:
这周没有筛到真正值得推荐的文章。现有更新要么偏技术细节,要么信息密度不够,没有过 7 分线。
Resources
scripts/fetch_today_feed_items.py
references/feeds.opml
Command examples
python3 scripts/fetch_today_feed_items.py --format json
python3 scripts/fetch_today_feed_items.py --date 2026-03-17 --days 1 --timezone Asia/Shanghai --format json
python3 scripts/fetch_today_feed_items.py --days 7 --limit 30 --format json