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 skills add rookie-ricardo/erduo-skills --skill ak-rss-digestgit clone --depth 1 https://github.com/rookie-ricardo/erduo-skillsWrote 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/rookie-ricardo/erduo-skills/ak-rss-digest)<a href="https://agentmods.dev/skills/rookie-ricardo/erduo-skills/ak-rss-digest"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/ak-rss-digest/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rookie-ricardo/erduo-skills/ak-rss-digest"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/ak-rss-digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 5.1 | $0.00101 | $0.01265 |
| Opus 5 | $0.00051 | $0.00633 |
| Sonnet 5 | $0.00020 | $0.00253 |
| Haiku 4.5 | $0.00010 | $0.00127 |
Grade A, and why
ak-rss-digest 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 12d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- Run
python3 scripts/fetch_today_feed_items.py --format jsonto collect entries from the configured feeds. This defaults to the most recent 7 days. - 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. Reject items that are clearly raw research papers, release notes, changelogs, benchmark dumps, or narrowly technical implementation logs without broader implications.
- 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.
- Score every serious candidate on the rubric below. Output only items with a score strictly greater than
7.0. - 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.
What ships with it
3 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.
- 12d ago First seen · 122 lines · 101 tokens per session scan A 604f88432c49
ak-rss-digest is a skill published in the GitHub repository rookie-ricardo/erduo-skills (935 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 1,265 once invoked, about $0.0005 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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