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Agent skill

Ak Rss Digest

by rookie-ricardo in rookie-ricardo/erduo-skills

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.

MITAuto-check passedEducation

Install Ak Rss Digest

skills CLI
$ npx skills add rookie-ricardo/erduo-skills --skill ak-rss-digest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rookie-ricardo/erduo-skills ak-rss-digest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rookie-ricardo/erduo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ak-rss-digest .claude/skills/ak-rss-digest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ak-rss-digest
GitHub stars
935
Token cost
~1.4k tokens
SKILL.md length
648 words
Files
4 (incl. scripts, references)
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 6 steps: Run python3… → Treat feed-level network failures as… → Read the structured output and discard… → …
  • Codex needs to pull the latest weeks posts by default
  • SKILL.md covers Overview, Workflow, Selection Heuristics and Scoring Rubric, plus 3 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Ak Rss Digest is an agent skill from rookie-ricardo/erduo-skills. 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.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml` and `scripts/fetch_today_feed_items.py`).

It sits in Education. The licence is MIT.

When your agent uses it

  • Codex needs to pull the latest weeks posts by default
  • A specific days posts when explicitly requested
  • Score each article on a 10-point scale
  • Output only the posts scoring above 7 in a concise Chinese daily-brief style

Example prompts

  • “s posts by default, or a specific day”
  • “/ak-rss-digest”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Run python3 scripts/fetch_today_feed_items.py --format json to collect entries from the configured feeds. This defaults to the most recent…
  2. Treat feed-level network failures as non-fatal. Continue with the feeds that succeeded and mention major failures only when they…
  3. Read the structured output and discard obvious mismatches before opening article pages. Reject items that are clearly raw research papers…
  4. Open the remaining candidate links when the feed summary is too thin to judge the article well. Skim for thesis, novelty, readability, and…
  5. Score every serious candidate on the rubric below. Output only items with a score strictly greater than 7.0.
  6. If nothing clears the threshold, say so directly instead of padding the output with mediocre picks.

What it can do on your machine

Read from SKILL.md and the folder at commit 1fb6ec5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ak Rss Digest loads about 1.4k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 648 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~117
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from rookie-ricardo/erduo-skills at commit 1fb6ec5, republished under its MIT licence (© rookie-ricardo). 648 words, ~1,382 tokens.

Download SKILL.mdSave it as .claude/skills/ak-rss-digest/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
ak-rss-digest
description
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.

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.
  6. If nothing clears the threshold, say so directly instead of padding the output with mediocre picks.

Selection Heuristics

Prefer articles with at least one of these traits:

  • Fresh thinking about AI agents, agent tooling, agent UX, multi-agent workflows, evaluation, deployment, or failure modes.
  • Strong interviews or conversations with operators, founders, researchers, or engineers who reveal how frontier work is actually being done.
  • Essays that synthesize a new direction, new constraint, or strategic implication in AI, software, or adjacent technology.
  • Pieces that are readable and idea-dense for a general technical audience, not just specialists in one subfield.

Penalize heavily or reject:

  • Pure technical papers and paper summaries with little interpretive value.
  • Vendor marketing, launch fluff, SEO writing, or obvious news rewrites.
  • Narrow implementation diaries that do not connect to broader product, research, or ecosystem questions.
  • Dry reference material that is correct but not worth a strong recommendation.

Scoring Rubric

  • 9-10: Exceptional fit. Strong signal, strong writing, original insight, and clearly valuable for someone tracking AI agents or adjacent frontier shifts.
  • 8-8.9: Good recommendation. Worth reading, clear point of view, and relevant enough to the target taste profile.
  • 7-7.9: Borderline. Useful but not compelling enough for the final digest. Do not output it.
  • 5-6.9: Competent but dry, derivative, too narrow, or not aligned with the target taste profile.
  • <5: Irrelevant, low-signal, or actively unsuitable.

When scoring, weigh these dimensions:

  • Relevance to AI agents, frontier AI, deep operator insight, or adjacent strategic technology discussion.
  • Originality of the article's argument or reporting.
  • Readability and ability to hold attention.
  • Practical usefulness for someone trying to keep up with meaningful new directions.
Show full SKILL.md (202 more words)Show less

Output Format

Write the final answer in Simplified Chinese. For each article that scores above 7, include exactly these elements with Chinese labels:

  • 标题: original article title.
  • 评分: x/10, use one decimal place when helpful.
  • 推荐语: one or two sentences explaining why this is worth reading.
  • 摘要: exactly two sentences summarizing the article.
  • 链接: canonical article URL.

Use a concise tone that reads like a curated daily brief, not a formal report:

  • Prefer short, direct sentences over explanatory padding.
  • Lead with why the article is worth the user's time.
  • Keep each item compact and scannable.
  • Avoid English field names such as Title, Score, or Recommendation.

Use this structure for the final answer:

markdown
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：1-2 句话，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, say so directly in Chinese, for example:

markdown
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 Use this script to fetch the configured feeds and return recent entries as structured JSON or Markdown.

  • references/feeds.opml Use this as the source of truth for the feed bundle. Keep the workflow anchored to this file unless the user explicitly asks to change the feed list.

Command Examples

Fetch the latest week of entries in Shanghai time:

bash
python3 scripts/fetch_today_feed_items.py --format json

Fetch a single day explicitly:

bash
python3 scripts/fetch_today_feed_items.py --date 2026-03-17 --days 1 --timezone Asia/Shanghai --format json

Fetch the latest posts from the past week:

bash
python3 scripts/fetch_today_feed_items.py --days 7 --limit 30 --format json

Inspect a quick Markdown view instead of JSON:

bash
python3 scripts/fetch_today_feed_items.py --format markdown

© rookie-ricardo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/ak-rss-digest of rookie-ricardo/erduo-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/feeds.opml
  • scripts/fetch_today_feed_items.py

Open the folder on GitHubat commit 1fb6ec5

Compare with similar skills

Ak Rss Digest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ak Rss Digest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ak Rss Digest this skillrookie-ricardo/erduo-skills935—~1.4kAutomated safety check: PassMIT
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AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch67k—~2kAutomated safety check: PassMIT
Deep Reading Analystginobefun/deep-reading-analyst-skill3544 repos~3.6kAutomated safety check: PassMIT
OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC40k—~1.7kAutomated safety check: NotesMIT
Codebase to Coursezarazhangrui/codebase-to-course5.7k—~4.4kAutomated safety check: PassNone

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Categories

Questions about Ak Rss Digest

What does Ak Rss Digest do?

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. Ak Rss Digest is an agent skill from rookie-ricardo/erduo-skills. 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.

When should I use Ak Rss Digest?

Ak Rss Digest fits situations like: Codex needs to pull the latest weeks posts by default; A specific days posts when explicitly requested; score each article on a 10-point scale; output only the posts scoring above 7 in a concise Chinese daily-brief style.

How do I install Ak Rss Digest in Claude Code?

Run `npx skills add rookie-ricardo/erduo-skills --skill ak-rss-digest -a claude-code`. Or copy the skill folder (skills/ak-rss-digest in rookie-ricardo/erduo-skills) into .claude/skills/ak-rss-digest in your project. Claude Code loads it when a task matches its description.

How do I install Ak Rss Digest in Codex?

Run `npx skills add rookie-ricardo/erduo-skills --skill ak-rss-digest -a codex`. Or copy the skill folder (skills/ak-rss-digest in rookie-ricardo/erduo-skills) into .agents/skills/ak-rss-digest in your project. Codex loads it when a task matches its description.

Can I use Ak Rss Digest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rookie-ricardo/erduo-skills --skill ak-rss-digest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ak-rss-digest, .gemini/skills/ak-rss-digest, .github/skills/ak-rss-digest and .opencode/skills/ak-rss-digest in your project.

What does Ak Rss Digest need to run?

Going by SKILL.md and its folder, Ak Rss Digest needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Ak Rss Digest access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ak Rss Digest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Ak Rss Digest use?

Ak Rss Digest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ak Rss Digest use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.5k tokens, read only when the agent opens those files.

What are the alternatives to Ak Rss Digest?

Skills that share tags, products or a category with Ak Rss Digest: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 67k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 354 stars) and OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ak Rss Digest?

rookie-ricardo (a GitHub user) maintains it in rookie-ricardo/erduo-skills, which has 935 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on July 25, 2026.

Source: rookie-ricardo/erduo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.