picks-tracker

picks-tracker is a skill for Claude Code, Codex from aeonfun/aeon. It costs 27 tokens per session (1,673 once invoked), scanned A, original, MIT.

A review routine for checking recent token and prediction-market picks against current results. It reads logged picks, compares them with prices or outcomes, and reports the score.

In plain words
What is it for?
Auditing recent cryptocurrency picks and prediction-market positions, including entry prices, current prices, and outcomes.
Why use it?
It removes the need to manually search logs and calculate which past predictions were right or wrong.

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/aeonfun/aeon/picks-tracker
Any agent
npx skills add aeonfun/aeon --skill picks-tracker
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.

agentmods badge for picks-tracker

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeonfun/aeon/picks-tracker.svg)](https://agentmods.dev/skills/aeonfun/aeon/picks-tracker)
Your own site
<a href="https://agentmods.dev/skills/aeonfun/aeon/picks-tracker"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/picks-tracker.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,673 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.01673
Opus 5 $0.00014 $0.00837
Sonnet 5 $0.00005 $0.00335
Haiku 4.5 $0.00003 $0.00167

Measured today against content hash 3a7e1f9abef3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

picks-tracker 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 today.

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` works — there is no network sandbox. For every curl call, if it fails or returns empty/error, use **WebFetch** for the same URL as a fallback for a flaky public GET.
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/picks-tracker/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Today is ${today}. Your task is to audit the last 30 days of token picks and score them against current prices.

Read memory/MEMORY.md for context.

Network note

curl works — there is no network sandbox. For every curl call, if it fails or returns empty/error, use WebFetch for the same URL as a fallback for a flaky public GET.

Steps

1. Extract token picks from logs

Scan the last 30 days of memory/logs/ for token picks. For each log file, grep for lines matching **Token:**. Extract:

  • Symbol (e.g., XMR, HYPE, TAO)
  • Date (from the filename, e.g., 2026-04-19)
  • Pick price (the number after $ on the same line, ignoring ~ approximations)

Also extract prediction market picks from lines matching **Market:**:

  • The question text (in quotes)
  • The position taken (YES or NO)
  • The price/odds at pick time

Expected log format (written by token-pick and monitor-polymarket):

- **Token:** XMR — $350.52 (+1.17% 24h, +2.55% 7d)
- **Market:** "US x Iran permanent peace deal by April 30?" — NO $0.615 (YES 38.5%)

Focus on the last 30 days of logs. If a token was picked multiple times, record each instance separately.

If zero picks are found in the window, log PICKS_TRACKER_SKIP: no picks in last 30 days — enable token-pick / monitor-polymarket and stop (no notification).

2. Fetch current token prices

For each unique token symbol, fetch the current price from CoinGecko.

First, try the search endpoint to get the coin ID:

curl -s "https://api.coingecko.com/api/v3/search?query=SYMBOL" \
  ${COINGECKO_API_KEY:+-H "x-cg-demo-api-key: $COINGECKO_API_KEY"}

Then fetch the price:

curl -s "https://api.coingecko.com/api/v3/simple/price?ids=COIN_ID&vs_currencies=usd&include_24hr_change=true" \
  ${COINGECKO_API_KEY:+-H "x-cg-demo-api-key: $COINGECKO_API_KEY"}

Fallback: If curl fails, use WebFetch for the same URL (drop the API key header).

Common ID mappings (use directly, skip search step):

  • HYPE → hyperliquid
  • XMR → monero
  • TAO → bittensor
  • ENJ → enjincoin
  • DASH → dash
  • ORDI → ordinals
  • MORPHO → morpho
  • RENDER → render-token
  • JUP → jupiter-exchange-solana
  • KAS → kaspa
  • ENA → ethena
  • ALGO → algorand
  • APT → aptos
  • FET → fetch-ai
  • ZEC → zcash
  • ETHFI → ether-fi

Read the full file on GitHub · 194 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.

  1. today First seen · 194 lines · 27 tokens per session scan A 3a7e1f9abef3

Subscribe to this mod's changes

picks-tracker is a skill published in the GitHub repository aeonfun/aeon (715 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 1,673 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 2026-09-05.

Related

Other skills, from other repositories

risk-scoring

Score how concentrated and risky a portfolio is on a 0-100 scale from its position weights. Use when the user asks how risky their portfolio is, whether it is too concentrated, or for a diversification check.

microsoft/agent-framework · 47 tokens

valuation

Estimate whether a stock looks cheap or expensive using a price-to-earnings (P/E) based fair-value method. Use when the user asks if a stock is over- or under-valued, or for a fair-value / target price.

microsoft/agent-framework · 51 tokens

comparable-company-analysis

生成上市公司可比公司分析报告。当用户请求分析某家公司的竞争对手、可比公司、同业对比、竞品分析、对标公司分析时使用此技能。.

wanxingai/LightAgent · 46 tokens

财经分析工具包

专业的财经分析工具包,提供股票分析、市场趋势预测、投资建议等功能,帮助Agent进行财经决策和市场研究。.

wanxingai/LightAgent · 35 tokens

regulatory-analysis

Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.

open-gitagent/opengap · 59 tokens

document-review

Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the user mentions compliance checks, financial audits, or document verification.

open-gitagent/opengap · 59 tokens