aeon

aeon is a skill for Claude Code, Codex from FridrichMethod/awesome-skills. It costs 91 tokens per session (4,207 once invoked), scanned A, original, no licence file.

A guide to using aeon, including when it fits, what it needs, and how to load a small benchmark dataset.

In plain words
What is it for?
Use it to check prerequisites, begin with aeon, and load a small dataset for testing or learning.
Why use it?
It gives you a starting point for aeon without requiring you to find its setup and usage steps yourself.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/fridrichmethod/awesome-skills/aeon
Any agent
npx skills add FridrichMethod/awesome-skills --skill aeon
Clone the repo
git clone --depth 1 https://github.com/FridrichMethod/awesome-skills

Made for: Claude Code, Codex.

Wrote 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 aeon

README.md
[![agentmods](https://agentmods.dev/badge/skills/fridrichmethod/awesome-skills/aeon.svg)](https://agentmods.dev/skills/fridrichmethod/awesome-skills/aeon)
Your own site
<a href="https://agentmods.dev/skills/fridrichmethod/awesome-skills/aeon"><img src="https://agentmods.dev/badge/skills/fridrichmethod/awesome-skills/aeon.svg" alt="Measured on agentmods" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,207 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00091 $0.04207
Opus 5 $0.00046 $0.02103
Sonnet 5 $0.00018 $0.00841
Haiku 4.5 $0.00009 $0.00421

Measured 5d ago against content hash c2e6053399c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

aeon 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 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.

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.

skills/aeon/SKILL.md · 369 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 5d ago First seen · 369 lines · 91 tokens per session scan A c2e6053399c1

Subscribe to this mod's changes

aeon is a skill published in the GitHub repository FridrichMethod/awesome-skills (14 stars, last pushed 5d ago), with no licence file. It adds 91 tokens to every session and 4,207 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.

Related

Other skills, from other repositories

academic-paper-writer

Draft economics papers with proper structure and academic style.

brycewang-stanford/Auto-Empirical-Research-Skills · 14 tokens

bear-counter

给一句话或一段话,找出真实学术文献来反对它——相反结论、边界条件、替代解释、方法批评、复制失败。按威胁程度排序,每篇附一行"它如何威胁这个观点"和"怎么回应它"。底层走真实检索(scimaster-cli),绝不编造反例。 以下情况请主动触发本技能:用户想"提前挡住审稿人"、"找这个结论的反例"、"这个方向有没有争议"、"有没有跟这个相反的研究"、"帮我攻击这个论点"、"这个结论稳不稳"、"想知道有哪些反对意见"——即使用户没有说"bear-counter",只要意图是为一个观点寻找学术反对证据,就使用本技能。bear-support 和 bear-counter 配对使用效果最好:对同一段话各跑一遍,就能同时看到正反两面。…

xuzhougeng/wisp-science · 270 tokens

compute-env-setup

Set up and validate a reproducible Python or R environment on a Wisp execution context. Use for a selected local, WSL, or direct SSH context when installing scientific packages, configuring caches, recording interpreter activation, or producing an environment smoke test. Do not use for scheduler clusters or managed…

xuzhougeng/wisp-science · 72 tokens

bio-clinical-biostatistics-survival-analysis

Performs time-to-event analysis for clinical trials including Cox proportional hazards regression with PH diagnostics, restricted mean survival time (RMST) under non-PH, competing risks via Fine-Gray vs cause-specific Cox, weighted log-rank and MaxCombo for non-proportional hazards, recurrent events (Andersen-Gill…

BioTender-max/awesome-bio-agent-skills · 116 tokens

bio-clinical-biostatistics-bayesian-trials

Designs Bayesian clinical trials including Phase I dose-finding (BOIN, CRM, EWOC, mTPI-2), meta-analytic-predictive (MAP) priors with robust mixtures for external data borrowing, EXNEX for basket trials, hierarchical models for safety AE (Berry-Berry), Bayesian platform trials (I-SPY 2, GBM AGILE, REMAP-CAP), and…

BioTender-max/awesome-bio-agent-skills · 164 tokens

bio-clip-seq-clip-peak-calling

Call protein-RNA binding sites from CLIP-seq BAM with CLIPper, PureCLIP, Skipper, Piranha, omniCLIP, CTK, CLAM, or Paraclu. Use when choosing between coverage-based, HMM-based, beta-binomial window-based, and crosslink-site-based peak callers; applying ENCODE eCLIP thresholds (log2 IP/SMInput >= 3, -log10 p >= 3)…

BioTender-max/awesome-bio-agent-skills · 129 tokens