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/alsk1992/cloddsbot/analyticsnpx skills add alsk1992/CloddsBot --skill analyticsgit clone --depth 1 https://github.com/alsk1992/CloddsBotWhat 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 | $0.00011 | $0.01554 |
| Opus 5 | $0.00005 | $0.00777 |
| Sonnet 5 | $0.00002 | $0.00311 |
| Haiku 4.5 | $0.00001 | $0.00155 |
Grade A, and why
analytics 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics - Complete API Reference
Analyze trading performance with attribution by edge source, time-of-day analysis, and optimization insights.
Chat Commands
Performance Overview
/analytics Performance summary
/analytics today Today's performance
/analytics week Weekly breakdown
/analytics month Monthly breakdown
Attribution
/analytics attribution P&L by edge source
/analytics by-platform P&L by platform
/analytics by-category P&L by market category
/analytics by-strategy P&L by strategy
Time Analysis
/analytics best-times Best trading hours
/analytics by-hour Hourly performance
/analytics by-day Day of week analysis
Edge Analysis
/analytics edge-decay How edge decays over time
/analytics edge-buckets Performance by edge size
/analytics liquidity Performance by liquidity
TypeScript API Reference
Create Analytics Service
import { createAnalyticsService } from 'clodds/analytics';
const analytics = createAnalyticsService({
// Data source
tradesDb: './trades.db',
// Time zone
timezone: 'America/New_York',
});
Performance Summary
const summary = await analytics.getSummary({
period: 'month',
// or: from: '2024-01-01', to: '2024-01-31'
});
console.log('=== Performance ===');
console.log(`Total P&L: $${summary.totalPnl}`);
console.log(`Win Rate: ${summary.winRate}%`);
console.log(`Profit Factor: ${summary.profitFactor}`);
console.log(`Sharpe Ratio: ${summary.sharpeRatio}`);
console.log(`Total Trades: ${summary.totalTrades}`);
console.log(`Avg Trade: $${summary.avgTrade}`);
console.log(`Best Trade: $${summary.bestTrade}`);
console.log(`Worst Trade: $${summary.worstTrade}`);
Attribution by Edge Source
const attribution = await analytics.getAttribution('edgeSource');
for (const source of attribution) {
console.log(`${source.name}:`);
console.log(` P&L: $${source.pnl}`);
console.log(` Trades: ${source.trades}`);
console.log(` Win Rate: ${source.winRate}%`);
console.log(` Contribution: ${source.contribution}%`);
}
// Example sources:
// - price_lag (stale prices)
// - liquidity_gap (thin orderbooks)
// - information (news/events)
// - model_edge (external models)
// - combinatorial (arbitrage)
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.
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.
- 3d ago First seen · 253 lines · 11 tokens per session scan A 16e6b211562b
analytics is a skill published in the GitHub repository alsk1992/CloddsBot (821 stars, last pushed 3d ago), licensed MIT. It adds 11 tokens to every session and 1,554 once invoked, about $0.0001 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.
Other skills, from other repositories
aomi-transact
Build natural-language crypto agents, web3 assistants, and trading bots that read and write EVM chain state. Aomi turns prompts ("swap 1 ETH for USDC", "open a 3x GMX long", "bet $100 on Polymarket") into wallet-signed transactions on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated.…
perp-cli
Multi-DEX perpetual futures trading via the perp-cli command-line tool. Use when user asks to: trade perps, check funding rates, scan/execute arbitrage (perp-perp or spot-perp), run delta-neutral strategies, bridge USDC across chains, manage positions/orders/leverage, deposit/withdraw, hedge spot+perp, trade HIP-3…
philidor-mcp
DeFi vault risk analytics MCP server: search 700+ vaults, compare risk scores, analyze protocols, run due diligence. Connect via Streamable HTTP — no API key needed. Use when setting up or using the Philidor MCP server for DeFi vault analysis, risk scoring, protocol research, or yield comparison.
rustok-wallet-tui
Self-custody Ethereum agent wallet. Installs with one command and runs entirely on your machine as a single container image (MCP over stdio); private keys never leave it. Read wallet context, balances and DeFi positions (Aave v3, ERC-4626); preview transactions. Sending funds on-chain is gated in a separate terminal…
aomi-transact
Build natural-language crypto agents, web3 assistants, and trading bots that read and write EVM chain state. Aomi turns prompts ("swap 1 ETH for USDC", "open a 3x GMX long", "bet $100 on Polymarket") into wallet-signed transactions on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated.…
agent-uat
AI 에이전트가 마크다운 시나리오를 읽고 사용자와 인터랙티브하게 실행하여 WAIaaS 기능을 메인넷/테스트넷에서 검증하는 시스템이다.