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/research-digestnpx skills add aeonfun/aeon --skill research-digestgit clone --depth 1 https://github.com/aeonfun/aeonWrote 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.
![agentmods badge for [REPLACE: SKILL_NAME]](/badge/skills/aeonfun/aeon/research-digest.svg?v=0-30-A){kind=icon}
[](https://agentmods.dev/skills/aeonfun/aeon/research-digest)<a href="https://agentmods.dev/skills/aeonfun/aeon/research-digest"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/research-digest.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00030 | $0.00790 |
| Opus 5 | $0.00015 | $0.00395 |
| Sonnet 5 | $0.00006 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
[REPLACE: SKILL_NAME] 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 5d 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.
`WebFetch` and `WebSearch` are built-in Claude tools. There is no network sandbox — `curl` works too; use `WebFetch` as the fallback for a flaky public GET. For this research skill the reads are unauthenticated, so `WebS Copies of this mod
1 near-identical copy found in the catalogue:
- [REPLACE: SKILL_NAME] — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${var} — Optional. Pass a different topic to override the default. If empty, digests [REPLACE: TOPIC].
Today is ${today}. Build a digest of the [REPLACE: MAX_ITEMS] most interesting new posts on [REPLACE: TOPIC].
Steps
-
Read sources — pull the last 24h of entries from each feed:
[REPLACE: FEED_URLS](Comma- or newline-separated list of RSS/Atom URLs.)
Use WebFetch to retrieve each feed and parse the entries. If a feed 404s or returns malformed XML, log a single warning line and skip that feed for this run.
-
Augment with web search — run a
WebSearchfor[REPLACE: TOPIC] latestand pick up to 5 fresh links published in the last 24h that aren't already in the feed results. -
Score and rank — for each candidate, score on:
- Recency — within the last 24h gets full marks.
- Source weight — feeds in the configured list outrank generic search results.
- Specificity — items mentioning concrete numbers, code, or named systems beat opinion pieces.
Drop anything obviously off-topic (the
${var}or[REPLACE: TOPIC]keyword should appear somewhere in title or summary). -
Pick the top [REPLACE: MAX_ITEMS] — write
output/articles/[REPLACE: SKILL_NAME]-${today}.mdwith one entry each:### [Title](url) *[Source · published date]* 2-3 sentences distilling the takeaway. No filler. -
Notify via
./notifywith:*[REPLACE: TOPIC] digest — ${today}* [N] picks. Top item: [shortened title]. Full digest: https://github.com/${GITHUB_REPOSITORY}/blob/main/output/articles/[REPLACE: SKILL_NAME]-${today}.md -
Log — append to
memory/logs/${today}.md:## [REPLACE: SKILL_NAME] - **Sources scanned**: N feeds + 1 web search - **Items picked**: N (of M candidates) - **Top source**: domain - **Status**: DIGEST_OK | DIGEST_QUIET (no items) | DIGEST_DEGRADED (some feeds failed)
Network note
WebFetch and WebSearch are built-in Claude tools. There is no network sandbox — curl works too; use WebFetch as the fallback for a flaky public GET. For this research skill the reads are unauthenticated, so WebSearch + WebFetch are the simplest path.
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.
- 5d ago First seen · 70 lines · 0 tokens per session scan A b81bd7ff83da
[REPLACE: SKILL_NAME] is a skill published in the GitHub repository aeonfun/aeon (714 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 790 once invoked, about $0.0002 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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