features

features is a skill for Claude Code, Codex from alsk1992/CloddsBot. It costs 9 tokens per session (109 once invoked), scanned A, original, MIT.

A tool for viewing live market measurements and trading signals calculated from trade and order-book data. It can show data for one market or all tracked markets.

In plain words
What is it for?
Use it to inspect a market, list tracked markets, view trading signals, and check the feature engine's statistics.
Why use it?
It removes the need to gather these market values and signals separately. The signals are presented in one place for quick review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect a market, list tracked markets, view trading signals, and check the feature engine's statistics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alsk1992/cloddsbot/features
About the project

CloddsBot is a self-hosted AI trading terminal that lets users interact through conversation while trading prediction markets, cryptocurrencies, and futures. It scans markets, executes trades, manages risk, and supports portfolio activities across the exchanges and blockchains listed by the project. The catalogue contains skills for extending or guiding the trading agent.

alsk1992/CloddsBot · 2,975 stars · on GitHub · cloddsbot.com

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 alsk1992/CloddsBot --skill features
Clone the repo
git clone --depth 1 https://github.com/alsk1992/CloddsBot

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 features

README.md
[![agentmods](https://agentmods.dev/badge/skills/alsk1992/cloddsbot/features/github.svg)](https://agentmods.dev/skills/alsk1992/cloddsbot/features)
Your own site
<a href="https://agentmods.dev/skills/alsk1992/cloddsbot/features"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/features/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.

agentmods 80×15 button for features

Your own site · 80×15
<a href="https://agentmods.dev/skills/alsk1992/cloddsbot/features"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/features.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 109 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00009 $0.00109
Opus 5.5 $0.00004 $0.00044
Sonnet 5.5 $0.00002 $0.00022
Haiku 4.5 $0.00001 $0.00011

Measured 1mo ago against content hash f57442986253, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

features 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (index.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/skills/bundled/features/SKILL.md · 21 lines

What it actually says

Features

View real-time market features and trading signals computed from tick and orderbook data.

Commands

/features get <platform> <marketId>       Get features for a specific market
/features all                             List all tracked markets
/features signals <platform> <marketId>   Get trading signals and recommendations
/features stats                           Show feature engine statistics
/features help                            Show help
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 21 lines · 9 tokens per session scan A f57442986253

Subscribe to this mod's changes

features is a skill published in the GitHub repository alsk1992/CloddsBot (2,975 stars, last pushed 15d ago), licensed MIT. It adds 9 tokens to every session and 109 once invoked, about $0.0000 per session on Opus 5.5. 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.

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