A daily market-pick workflow that evaluates one cryptocurrency token and one prediction market, a market where people trade contracts based on future events. It uses signals, scores, conviction levels, and can skip weak picks.

Use it to review token data and prediction markets, compare recent signals, and produce a pick or a no-picks result.

It reduces forced recommendations and avoids repeating a token or market unless there is a materially new reason to consider it.

token-pick — Skill for Claude Code and Codex by aeonfun/aeon

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.

Any agent

npx skills add aeonfun/aeon --skill token-pick

Clone the repo

git clone --depth 1 https://github.com/aeonfun/aeon

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aeonfun/aeon/token-pick/github.svg)](https://agentmods.dev/skills/aeonfun/aeon/token-pick)

Your own site

<a href="https://agentmods.dev/skills/aeonfun/aeon/token-pick"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/token-pick/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aeonfun/aeon/token-pick"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/token-pick.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,575 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Data Exfiltration · line 34
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
medium Data Exfiltration · line 38
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
medium Data Exfiltration · line 44
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.

How audits are shown

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00025	$0.02575
Opus 5.5	$0.00010	$0.01030
Sonnet 5.5	$0.00005	$0.00515
Haiku 4.5	$0.00003	$0.00258

Measured 18d ago against content hash b60463f97a53, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

token-pick 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 18d 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.

curl -s "https://api.dexscreener.com/latest/dex/search?q=trending"

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

token-pick — 100% identical, 0 lines differ

skills/token-pick/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var} — Focus area or thesis (e.g. "AI tokens", "election markets", "contrarian bets"). If empty, scans broadly.

Read memory/MEMORY.md for context. Read the last 7 days of memory/logs/ and grep for prior Token Pick entries — extract the symbols and market questions already picked. Hard dedup gate: do not re-pick the same token or the same prediction market unless there is a materially new catalyst that you can name in one sentence.

Goal

Produce ONE token call and ONE prediction-market call per day, each with a numeric signal/edge score and a conviction tier. If neither qualifies for at least MEDIUM conviction, send a short "no picks today" message rather than forcing a weak pick.

Steps

1. Fetch token data

# Optional demo key rides ./secretcurl's {COINGECKO_API_KEY} placeholder (never a bare
# $SECRET on the line); without a key the same public endpoint works at a lower rate limit.
CG_HDR=(); [ -n "${COINGECKO_API_KEY:+x}" ] && CG_HDR=(-H "x-cg-demo-api-key: {COINGECKO_API_KEY}")

# Trending coins
./secretcurl -s "${CG_HDR[@]}" "https://api.coingecko.com/api/v3/search/trending"

# Top 250 by market cap with 24h and 7d changes
./secretcurl -s "${CG_HDR[@]}" "https://api.coingecko.com/api/v3/coins/markets?vs_currency=usd&order=market_cap_desc&per_page=250&page=1&sparkline=false&price_change_percentage=24h,7d"

# BTC + ETH 24h/7d for relative-strength benchmark (extract from the markets call above; no extra request needed)

# DEX-side cross-confirmation (no auth, optional but preferred)
curl -s "https://api.dexscreener.com/latest/dex/search?q=trending"

If any curl returns empty or errors, retry once with WebFetch for the same URL. Track per-source status (cg=ok|fail, dex=ok|fail) — surfaced in the output footer.

2. Fetch prediction markets

# Top events by 24h volume (events group multi-outcome questions)
curl -s "https://gamma-api.polymarket.com/events?active=true&closed=false&order=volume_24hr&ascending=false&limit=30"

# Newer markets gaining traction
curl -s "https://gamma-api.polymarket.com/markets?closed=false&order=startDate&ascending=false&limit=20"

Read the full file on GitHub · 192 lines

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.

18d ago Changed · +4 lines b60463f97a53
1mo ago First seen · 188 lines · 25 tokens per session scan A 8ea51d2ef485

Subscribe to this mod's changes

token-pick is a skill published in the GitHub repository aeonfun/aeon (778 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 2,575 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-05.

Claude Code Finance and fintech Web3 and blockchain agent-framework agents ai ai-agents anthropic

crypto-sage

Activates CryptoSage for crypto, DeFi, and Web3 intelligence. Use when you need on-chain analytics (MVRV, SOPR, NVT, exchange flows), DeFi TVL trend analysis, tokenomics review (vesting schedules, inflation rate, unlock impact), narrative momentum tracking, or rug pull / audit risk assessment.

vignesh2027/Claude-Agentic-Skills2.0-version · 73 tokens

token-pick