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 agentmods add skills/aeonfun/aeon/digestnpx skills add aeonfun/aeon --skill digestgit clone --depth 1 https://github.com/aeonfun/aeonWhat 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 | $0.00027 | $0.04027 |
| Opus 5 | $0.00014 | $0.02014 |
| Sonnet 5 | $0.00005 | $0.00805 |
| Haiku 4.5 | $0.00003 | $0.00403 |
Grade A, and why
digest scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
<!-- autoresearch: variation B — curatorial discipline (filter → distill → structure → sanity-check) folded with direct-curl xAI + web/RSS inputs and memory-aware dedup; RSS feed-reading + item-selection absorbed from rs Copies of this mod
1 near-identical copy found in the catalogue:
- digest — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${var} — Selects the digest's topic and which source classes feed it. Grammar:
""(empty) → digest's default sources (WebSearch + xAI/Grok + aggregators), no topic filter — a broad daily digest."<topic>"→ topic-focused digest on the default web sources, filtered to<topic>(e.g."solana","AI agents","rust")."rss"→ RSS-only: pull feeds frommemory/feeds.yml, no topic filter."rss: <topic>"→ RSS-only, filtered to<topic>(e.g."rss: rust")."<topic> +rss"→ default web sources and RSS feeds combined, both filtered to<topic>(e.g."AI agents +rss").
Today is ${today}. Generate and send a daily ${var} digest.
The whole point of a digest is signal, not volume. A reader skimming for 60 seconds should walk away with three things they didn't know that morning and one of them should change a decision they'd make this week. Anything that doesn't clear that bar gets cut.
Preamble — orient and parse the selector
- Read
memory/MEMORY.mdfor high-level context and tracked topics, and scan the last 3 days ofmemory/logs/so you can dedup against anything already reported. - Parse
${var}into{topic, sources}:- Strip a trailing
+rss→ adds RSS to the default web sources. Remainder is thetopic. - A leading
rss:(or the bare tokenrss) → RSS-only source set; text after the colon is thetopic(empty = no filter). - Otherwise the whole string is the
topicandsources = default web(empty string = default web, no topic filter). - Resulting
sourcesis one of:web(default),rss(RSS-only), orweb+rss(both).
- Strip a trailing
- The
topic, when non-empty, is a filter applied to every source class — web queries are scoped to it and RSS items must match it (title/description/tags). Empty topic = keep all relevant items.
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.
- 3d ago First seen · 204 lines · 27 tokens per session scan A aa2a7f38bf05
digest is a skill published in the GitHub repository aeonfun/aeon (706 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 4,027 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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