auto-compound

auto-compound is a skill for Claude Code, Codex from Signal-Execution-Labs/forex-trading-ai-agent. It costs 0 tokens per session (306 once invoked), scanned A, original, MIT.

An automation tool for reinvesting rewards from decentralised finance protocols. Decentralised finance, or DeFi, refers to financial services run through blockchain-based protocols rather than traditional institutions.

In plain words
What is it for?
Use it to configure, preview, execute, and review reward-compounding strategies across lending, staking, liquidity farming, and yield-aggregator positions.
Why use it?
It can schedule reinvestment, wait for a reward or gas-price threshold, and assess whether the expected gain justifies the transaction cost.

Skill for Claude CodeCodex

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

Good fit Use it to configure, preview, execute, and review reward-compounding strategies across lending, staking, liquidity farming, and yield-aggregator positions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/signal-execution-labs/forex-trading-ai-agent/auto-compound
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 Signal-Execution-Labs/forex-trading-ai-agent --skill auto-compound
Clone the repo
git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent

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 auto-compound

README.md
[![agentmods](https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/auto-compound/github.svg)](https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/auto-compound)
Your own site
<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/auto-compound"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/auto-compound/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 auto-compound

Your own site · 80×15
<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/auto-compound"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/auto-compound.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 306 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 $0.00000 $0.00306
Opus 5 $0.00000 $0.00153
Sonnet 5 $0.00000 $0.00061
Haiku 4.5 $0.00000 $0.00031

Measured 11d ago against content hash 2d965aad5118, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

auto-compound 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 11d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/auto-compound/SKILL.md · 47 lines

What it actually says

Auto Compound

Automatic yield compounding across DeFi protocols.

Features

Compounding Strategies

  • Time-Based - Compound every X hours/days
  • Threshold-Based - Compound when rewards > $X
  • Gas-Optimized - Compound when gas is cheap
  • APY-Maximizing - Calculate optimal frequency

Supported Protocols

  • Yield Aggregators - Yearn, Beefy, Convex
  • Lending - Aave, Compound (auto-reinvest)
  • Staking - Restake rewards automatically
  • LP Farming - Harvest and reinvest

Gas Optimization

  • Gas Price Monitoring - Track gas trends
  • Batch Operations - Combine multiple claims
  • Flashbots - MEV-protected transactions
  • Cross-Chain - Bridge to cheaper chains

Calculations

  • Compound Calculator - Preview compounding effects
  • Break-Even Analysis - When does compounding pay off?
  • Gas ROI - Is this compound worth the gas?

Commands

kit compound configure --protocol beefy --strategy gas-optimized
kit compound status
kit compound preview --position <id>
kit compound execute --dry-run
kit compound calculator --principal 10000 --apy 15 --frequency daily
kit compound history

Safety

  • Slippage protection on swaps
  • Failed transaction retry
  • Emergency withdrawal
  • Position monitoring
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. 11d ago First seen · 47 lines · 0 tokens per session scan A 2d965aad5118

Subscribe to this mod's changes

auto-compound is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 306 tokens. 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

aomi-transact

Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.

sickn33/agentic-awesome-skills · 95 tokens

portfolio

Cross-chain DeFi portfolio discovery, rebalancing suggestions, and NEAR Intent construction. Activates when the user pastes a wallet address or asks about yield/positions/rebalancing. Bootstraps a per-user "portfolio" project, aggregates positions across all the user's addresses inside one project, and offers a…

suyoumo/ClawProBench · 69 tokens

stellar-forge

Eval-driven coding harness for building production Stellar dApps. Routes tasks to 6 specialist agents, verifies output with structured evals, steers on failure, e2e-tests with Stellar Agentic Kit hooks, and knowledge-graphs every project. Use when building any Stellar app — tokens, DeFi, NFTs, payment APIs, or full…

rylsherdamz-rgb/stellar-forge · 82 tokens

microcap-pnd-system

A system for investigating extreme small-cap cryptocurrency price pumps and dumps. It combines market data, derivatives data, project information, community checks, risk filters, price-volume signals, tracking, exit decisions and whale monitoring.

Lzh-xbccz/hermes-finance · 71 tokens

ag402

AI Agent Payment Protocol — auto-pay x402 APIs with Solana USDC. Commands: setup, pay , balance, history, doctor, serve. Use exec to run CLI commands.

AetherCore-Dev/ag402 · 42 tokens

claw-wallet

Manage a Web3 wallet through natural language — check balances, send tokens, manage contacts and security policies. Use when the user asks about their wallet, crypto balances, sending tokens, or managing contacts.

janespace-ai/claw-wallet · 44 tokens