Atlas / Skills / jeremylongshore / Optimizing Defi Yields

Optimizing Defi YieldsSAFE

skills/jeremylongshore/optimizing-defi-yields

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Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.28.0
Hosts
1 documented
License
MIT
Stars
2,823
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-08
02

Install

Commands as the repository documents them. They are shown, not run.

pip install requests
03

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
04

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: optimizing-defi-yields
description: 'Find and compare DeFi yield opportunities across protocols with APY
  calculations, risk assessment, and optimization recommendations.

  Use when searching for yield farming opportunities, comparing DeFi protocols, or
  analyzing APY/APR rates.

  Trigger with phrases like "find DeFi yields", "compare APY", "best yield farming",
  "optimize DeFi returns", "stablecoin yields", or "liquidity pool rates".

  '
allowed-tools: Read, Write, Bash(crypto:yield-*)
version: 1.28.0
author: Jeremy Longshore <[email protected]>
license: MIT
tags:
- crypto
- optimizing-defi
compatibility: Designed for Claude Code
---
# Optimizing DeFi Yields

## Overview

Find and compare DeFi yield opportunities across protocols. Aggregates data from DeFiLlama and other sources to provide APY/APR comparisons, risk assessments, and optimization recommendations for yield farming strategies.

## Prerequisites

Before using this skill, ensure you have:

- Python 3.8+ installed
- Internet access for API queries
- Understanding of DeFi concepts (APY, APR, TVL, impermanent loss)

## Instructions

1. Search for yield opportunities across all chains or filter by a specific chain:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --top 20
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --chain ethereum --top 10
   ```

2. Filter by criteria -- minimum TVL (for safety), asset type, or protocol:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --min-tvl 10000000 --top 15  # 10000000 = 10M limit
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --asset USDC --chain ethereum
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --protocol aave,compound,curve
   ```

3. Apply risk filters -- show only audited protocols or filter by risk level (`--risk low`, `--risk medium`, `--risk high`):

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --audited-only --min-tvl 1000000  # 1000000 = 1M limit
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --risk low --min-apy 3
   ```

4. Analyze specific opportunities -- get detailed pool breakdown or compare protocols:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --pool "aave-v3-usdc-ethereum" --detailed
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --compare aave,compound,spark --asset USDC
   ```

5. Export results to JSON or CSV for further analysis:

   ```bash
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --top 50 --format json --output yields.json
   python ${CLAUDE_SKILL_DIR}/scripts/yield_optimizer.py --chain ethereum --format csv --output eth_yields.csv
   ```

## Output

### Yield Summary Table

```
==============================================================================
  DEFI YIELD OPTIMIZER                              2026-01-15 15:30 UTC  # 2026 year
==============================================================================

  TOP YIELD OPPORTUNITIES
------------------------------------------------------------------------------
  Protocol       Pool          Chain      TVL        APY    Risk    Score
  Convex        cvxCRV        Ethereum   $450M    12.5%    Low     9.2
  Aave v3       USDC          Ethereum   $2.1B     4.2%    Low     9.8
  Curve         3pool         Ethereum   $890M     3.8%    Low     9.5
  Compound v3   USDC          Ethereum   $1.5B     3.2%    Low     9.6
  Yearn         yvUSDC        Ethereum   $120M     5.1%    Medium  7.8
------------------------------------------------------------------------------

  APY BREAKDOWN (Top Result)
------------------------------------------------------------------------------
  Base APY:     4.5%
  Reward APY:   8.0% (CRV + CVX)
  Total APY:    12.5%
  IL Risk:      None (single-sided)
==============================================================================
```

### Risk Assessment

```
  RISK ANALYSIS: Convex cvxCRV
------------------------------------------------------------------------------
  Audit Status:    ✓ Audited (Trail of Bits, OpenZeppelin)
  Protocol Age:    3+ years
  TVL:             $450M (stable)
  TVL Trend:       +5% (30d)
  Risk Score:      9.2/10 (Low Risk)

  Risk Factors:
  • Smart contract dependency on Curve
  • CRV/CVX reward token volatility
  • Vote-lock mechanics
==============================================================================
```

## Error Handling

See `${CLAUDE_SKILL_DIR}/references/errors.md` for comprehensive error handling.

Common issues:

- **API timeout**: Uses cached data with staleness warning
- **No pools found**: Broaden search criteria
- **Invalid protocol**: Check supported protocols list

## Examples

See `${CLAUDE_SKILL_DIR}/references/examples.md` for detailed usage examples.

### Quick Examples

**Find stablecoin yields**:

```bash
python yield_optimizer.py --asset USDC,USDT,DAI --min-tvl 10000000  # 10000000 = 10M limit
```

**Low-risk opportunities**:

```bash
python yield_optimizer.py --risk low --audited-only --min-apy 2
```

**Multi-chain search**:

```bash
python yield_optimizer.py --chain ethereum,arbitrum,polygon --top 20
```

**Export top yields**:

```bash
python yield_optimizer.py --top 100 --format json --output all_yields.json
```

## Configuration

Settings in `${CLAUDE_SKILL_DIR}/config/settings.yaml`:

- **Default chain**: Primary chain to search
- **Cache TTL**: How long to cache API responses
- **Risk weights**: Customize risk scoring factors
- **Min TVL default**: Default minimum TVL filter

## Resources

- DeFiLlama: https://defillama.com/yields - Yield data source
- DeFi Safety:  - Protocol security scores
- Impermanent Loss Calculator: Understand LP risks
05

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (2 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__optimizing-defi-yields.json · Report an issue / request a re-scan
06

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-084f83675ca38aSAFEB89first audit
07

Questions

What does the Optimizing Defi Yields skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Optimizing Defi Yields safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Optimizing Defi Yields access on my machine?

The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.

Which assistants does Optimizing Defi Yields work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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