Lista Lending — Position Report

Generate a structured position report across one or more wallet addresses on Moolah.

RPC script: skills/scripts/moolah.js (Node.js stdlib, no packages needed)

BEFORE ANYTHING ELSE — Ask for language

Do NOT run any commands until the user has answered this question:

Which language should I use for the report? 請問報告以哪種語言生成？

• English

• 简体中文

• 繁體中文

• Other (specify)

Language handling rules:

• 1 / English — use the English format template exactly.

• 2 / 简体中文 — use the 繁體中文 format template, then convert all Traditional Chinese characters to Simplified Chinese. Do NOT alter any numbers, symbols, separators (━━━, ────), or field layout.

• 3 / 繁體中文 — use the 繁體中文 format template exactly.

• 4 / Other — translate all label text (field names, headers, summary lines, recommendations) into the requested language. Keep every separator line, number format, indentation, and the #N position header format identical to the English template. Do NOT add bullet points or reformat the rows.

Remember the answer and use it for all output generated below.

Step 1 — Collect addresses

Accept one or more wallet addresses from the user — comma-separated, space-separated, or line-by-line. Strip extra whitespace and deduplicate. Process them in the order received.

Step 2 — Fetch positions for each address

Run once per address:

node skills/scripts/moolah.js user-positions <address>

Returns JSON with positions[] . Each entry has:

Field Description

marketId

32-byte market ID

collateralSymbol / loanSymbol

Token symbols

collateral

Raw collateral amount (1e18 units)

borrowShares

User borrow shares (raw)

supplyShares

User supply shares (raw)

currentDebt

Current debt in loan token raw units (pre-computed)

lastUpdateIso

Last interest accrual timestamp

If positions is empty → the address has no active positions on Moolah.

Step 3 — Detect collateral type and fetch prices (per unique market)

Deduplicate marketIds across all addresses. For each unique active marketId, first fetch the market info from the Lista API — this tells you whether the collateral is a plain ERC20 token or a Curve LP token (Smart Lending market).

curl -s "https://api.lista.org/api/moolah/market/&#x3C;marketId>"
| python3 -c " import sys, json d = json.load(sys.stdin)['data'] cfg = d.get('smartCollateralConfig') or {} print('LP' if cfg.get('swapPool') else 'ERC20') print(d.get('loanTokenPrice', '')) "

Output line 1: ERC20 or LP

Output line 2: loan token USD price (float, e.g. 1.00005 )

3a — ERC20 collateral

Step 1: Try oracle-price

Oracle price (1e36-scaled). May revert for some oracles — handle gracefully.

node skills/scripts/moolah.js oracle-price <marketId>

Returns: { price (1e36-scaled), lltv, lltvPct }

If oracle-price succeeds → use path 4a for metric computation.

Step 2: Fallback to token-price (when oracle-price reverts)

When oracle-price reverts, do NOT mark as N/A. Instead, fetch the collateral token address from market params, then query the Lista oracle directly:

Get collateral token address and LLTV from market params

node skills/scripts/moolah.js params <marketId>

Returns: { collateralToken, loanToken, lltv, lltvPct, ... }

Get USD price of collateral token via Lista oracle (8 decimal places)

node skills/scripts/moolah.js token-price <collateralToken>

Returns: { priceUSD }

If token-price returns 0 or errors → only then mark collateral USD and all USD-derived fields as N/A .

Use path 4c for metric computation when the token-price fallback is used.

3b — LP collateral (Smart Lending markets)

Smart Lending markets use a Curve StableSwap LP token as collateral. Calling oracle-price on these markets always reverts — the provider contract is not a standard Morpho oracle. Use lp-price instead:

node skills/scripts/moolah.js lp-price <marketId>

Returns: { lpTokenPriceUSD, token0Symbol, token1Symbol, virtualPriceF, coin0PriceUSD }

This command internally:

• Reads smartCollateralConfig.swapPool and token0 from the Lista API

• Calls get_virtual_price() on the Curve pool (1e18-scaled, LP value in coin0 units)

• Calls oracle.peek(token0) for the coin0 USD price (8 decimal places)

• Returns lpTokenPriceUSD = (virtualPrice / 1e18) × (coin0PriceRaw / 1e8)

Also fetch LLTV for LP markets (oracle-price is unavailable to provide it):

node skills/scripts/moolah.js params <marketId>

Returns: { lltv, lltvPct, ... }

In the report, label the collateral as <token0Symbol>/<token1Symbol> LP (e.g. slisBNB/BNB LP ).

Step 4 — Compute metrics per position

All raw position values are 1e18 integers. Use floating point for display only.

4a — ERC20 collateral (oracle-price succeeded, path 4a)

collateral_f = collateral / 1e18 currentDebt_f = currentDebt / 1e18 oraclePrice_f = oraclePrice / 1e36 (from oracle-price) loanTokenUSD = loanTokenPrice (float, from API step 3) lltvF = lltv / 1e18 (from oracle-price result)

collateral_in_loan = collateral_f × oraclePrice_f (collateral in loan token units) collateralPriceUSD = oraclePrice_f × loanTokenUSD (USD per 1 collateral token) collateralUSD = collateral_f × collateralPriceUSD debtUSD = currentDebt_f × loanTokenUSD netEquityUSD = collateralUSD − debtUSD

LTV = currentDebt_f / collateral_in_loan liqPriceUSD = debtUSD / (collateral_f × lltvF) buffer = (collateralPriceUSD − liqPriceUSD) / collateralPriceUSD

4b — LP collateral (Smart Lending markets)

collateral_f = collateral / 1e18 currentDebt_f = currentDebt / 1e18 lpTokenPriceUSD = lpTokenPriceUSD (from lp-price result) loanTokenUSD = loanTokenPrice (float, from API step 3) lltvF = lltv / 1e18 (from params result)

collateralUSD = collateral_f × lpTokenPriceUSD debtUSD = currentDebt_f × loanTokenUSD netEquityUSD = collateralUSD − debtUSD

LTV = debtUSD / collateralUSD (USD-based, matches on-chain LTV closely) liqPriceUSD = debtUSD / (collateral_f × lltvF) (LP token price that triggers liquidation) buffer = (lpTokenPriceUSD − liqPriceUSD) / lpTokenPriceUSD

4c — ERC20 collateral (oracle-price reverted, token-price fallback, path 4c)

collateral_f = collateral / 1e18 currentDebt_f = currentDebt / 1e18 collateralPriceUSD = priceUSD (from token-price result, 8dp already divided) loanTokenUSD = loanTokenPrice (float, from API step 3) lltvF = lltv / 1e18 (from params result)

collateralUSD = collateral_f × collateralPriceUSD debtUSD = currentDebt_f × loanTokenUSD netEquityUSD = collateralUSD − debtUSD

LTV = debtUSD / collateralUSD (USD-based) liqPriceUSD = debtUSD / (collateral_f × lltvF) (collateral price that triggers liquidation) buffer = (collateralPriceUSD − liqPriceUSD) / collateralPriceUSD

In the report, show Collateral price: $X.XX/collateralSymbol on a separate line (same position as the LP price line).

Correlated asset check — do this BEFORE assigning risk level:

When collateral and loan token are in the same asset family, both assets move together in price. Liquidation can only happen if the peg or ratio between them breaks — not from broad market moves. Apply more lenient risk thresholds for correlated pairs.

Asset families:

• USD stable: USD1, U, USDT, USDC, DAI, FDUSD, BUSD (any USD-pegged stablecoin)

• BNB / BNB-LST: BNB, slisBNB, wstBNB, ankrBNB, BNBx

• ETH / ETH-LST: ETH, WETH, wstETH, stETH, rETH

• BTC: BTCB, WBTC, BTC

A position is correlated when collateral and loan belong to the same family. For LP collateral, check whether both LP component tokens AND the loan token are all in the same family (e.g. slisBNB/BNB LP + BNB loan → BNB family → correlated; slisBNB/BNB LP + USD1 loan → different families → not correlated).

Risk level — standard (uncorrelated pairs):

• 🟢 SAFE — LTV / lltvF < 80%

• 🟡 WARNING — 80% ≤ LTV / lltvF < 90%

• 🔴 DANGER — LTV / lltvF ≥ 90%

Risk level — correlated pairs (adjusted):

• 🟢 SAFE — LTV / lltvF < 92%

• 🟡 WARNING — 92% ≤ LTV / lltvF < 97%

• 🔴 DANGER — LTV / lltvF ≥ 97%

For correlated positions, append "(相關對)" after the risk label in the position header (English: "(correlated)").

Dust filter: After computing collateralUSD and debtUSD for a position, if BOTH values are less than USD 1, skip the position entirely — do not include it in the report or count it in the position total.

Supply-only position (supplyShares > 0, borrowShares = 0): skip debt, LTV, and liquidation price rows.

Step 5 — Position recommendations

After computing metrics for each active position, generate 1–3 concise strategy suggestions tailored to the actual numbers. Use the rules below as triggers.

Risk reduction — uncorrelated positions:

• LTV/LLTV ≥ 90% (DANGER): Strongly recommend repaying debt or adding collateral immediately. Show exact amounts needed to reach 75% LTV/LLTV.

• LTV/LLTV 80–90% (WARNING): Suggest partial repayment or collateral top-up. Show amounts needed to reach 70% LTV/LLTV.

• Buffer < 10%: Flag that a small price drop could trigger liquidation; recommend increasing buffer.

Risk reduction — correlated positions:

• LTV/LLTV ≥ 97% (DANGER): Even for correlated pairs, recommend immediate debt reduction — peg stability cannot be guaranteed at extreme leverage. Show amounts to reach 85% LTV/LLTV.

• LTV/LLTV 92–97% (WARNING): Note that broad market moves do not affect this position significantly. The real risk is a depeg event (e.g. LST smart contract exploit, stablecoin depeg). Recommend monitoring the collateral/loan price ratio and setting an alert if the ratio moves more than 3%.

• LTV/LLTV < 92% (SAFE for correlated): No action needed. Optionally suggest looping for yield.

Yield enhancement (low LTV):

• LTV/LLTV < 50% (uncorrelated) or < 75% (correlated): Collateral is under-utilized. Suggest borrowing more to deploy into Lista yield vaults (/lista-yield ) or looping (/lista-loop ).

• Supply-only position (no borrow): Mention that the user could borrow against their supply to amplify yield.

General:

• Always show the current borrow rate context (from oracle-price lltv info or market utilization if available).

• If no positions exist for an address, no recommendations needed.

• Keep recommendations factual and numeric — avoid vague language.

English recommendation format

Recommendations for 0xAbCd…5678:

1. [DANGER] Repay ~5,000 U to bring LTV to 60% and restore a safe buffer.
2. Use /lista-yield to find the best yield for idle USDT if you reduce debt.

中文建議格式

地址 0xAbCd…5678 的持倉建議：

1. 【高風險】建議償還約 5,000 U，將 LTV 降至 60%，恢復安全緩衝。
2. 若有閒置 USDT，可使用 /lista-yield 查看最佳存款收益。

Step 6 — Generate report

STRICT FORMAT RULES — follow exactly, no exceptions:

• Copy the template below character-for-character, including the separator lines (━━━ and ────).

• Use the exact field labels shown (Collateral:, Debt:, Net equity:, LTV:, Liq. price:, Last accrual:). Do NOT rename, reorder, or omit any field.

• Separate each position block from the next with a single - - - - - line.

• Do NOT use bullet points (•, -) inside position block rows. Use the indented plain-text rows from the template.

• Do NOT add extra sections, headings, or emoji that are not in the template.

• Number each position sequentially within an address block (#1, #2, …). Replace the "Market:" label with the position number.

• Plain text only — no markdown bold/italics. Intended for Telegram/Discord paste.

• Numbers: comma thousands separator, 2 decimal places for token amounts, rounded to nearest dollar for USD.

Note: In the templates below, ＄ (fullwidth dollar sign) represents the US dollar sign. Use the regular $ in your actual output.

English format

Lista Lending — Position Report Generated: <YYYY-MM-DD HH:MM> UTC | BSC Mainnet ━━━━━━━━━━━━━━━━━━━━━━━━━

Address 1: 0xAbCd…5678 ──────────────────────── #1 BTCB / U 🟢 SAFE Collateral: 398.85 BTCB (＄38,250,000) Debt: 18,020,988.00 U (＄18,020,988) Net equity: ~＄20,229,012 LTV: 47.1% / LLTV 86.0% Liq. price: BTCB < ＄45,200 (8.2% buffer) Last accrual: 2026-03-01 03:12 UTC

#2 slisBNB/BNB LP / BNB 🟡 WARNING Collateral: 120.00 slisBNB/BNB LP (＄78,143) Debt: 50.00 BNB (＄34,550) Net equity: ~＄43,593 LP price: ＄651.19/LP (virtual price 1.000110 × slisBNB ＄651.12) LTV: 44.2% / LLTV 86.0% Liq. price: LP < ＄484.05 (25.7% buffer) Last accrual: 2026-03-01 03:12 UTC

[If no active positions:] No active positions.

Address 1 summary: 2 active positions | Net equity ~＄20.2M

Recommendations for Address 1:

1. LTV is comfortable. Collateral is under-utilized — consider /lista-loop to amplify yield.

━━━━━━━━━━━━━━━━━━━━━━━━━ [If multiple addresses, repeat the block above for each, then:]

Total: <N> addresses | <M> active positions | Combined net equity ~＄X

Data: api.lista.org | BSC Mainnet

中文格式

Lista Lending — 持倉報告 產生時間：<YYYY-MM-DD HH:MM> UTC | BSC 主網 ━━━━━━━━━━━━━━━━━━━━━━━━━

地址 1：0xAbCd…5678 ──────────────────────── #1 BTCB / U 🟢 安全 抵押品： 398.85 BTCB (約 ＄38,250,000) 負債： 18,020,988.00 U (約 ＄18,020,988) 淨資產： 約 ＄20,229,012 LTV： 47.1% / 清算線 86.0% 清算價格： BTCB < ＄45,200 (緩衝 8.2%) 最後結算： 2026-03-01 03:12 UTC

#2 slisBNB/BNB LP / BNB 🟡 警告 抵押品： 120.00 slisBNB/BNB LP (約 ＄78,143) 負債： 50.00 BNB (約 ＄34,550) 淨資產： 約 ＄43,593 LP 價格： ＄651.19/LP (虛擬價格 1.000110 × slisBNB ＄651.12) LTV： 44.2% / 清算線 86.0% 清算價格： LP < ＄484.05 (緩衝 25.7%) 最後結算： 2026-03-01 03:12 UTC

[若無活躍持倉：] 無活躍持倉。

地址 1 小結：2 個活躍持倉 | 淨資產約 ＄20.2M

地址 1 的持倉建議：

1. LTV 尚在安全範圍，抵押品尚有餘裕，可考慮使用 /lista-loop 提高槓桿收益。

━━━━━━━━━━━━━━━━━━━━━━━━━ [若有多個地址，重複以上區塊，最後加總：]

總計：<N> 個地址 | <M> 個活躍持倉 | 合計淨資產約 ＄X

資料來源：api.lista.org | BSC 主網

After the report — offer lista-yield

Once the report has been delivered to the user, ask:

English:

Would you like me to scan for the best yield opportunities on Lista Lending right now? (runs /lista-yield)

中文：

需要我幫你掃描 Lista Lending 目前最佳的存款收益機會嗎？（執行 /lista-yield）

If the user says yes, run /lista-yield .