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senpi-ai/senpi-skills141 installs

whale-index

Auto-mirror top Discovery traders on Hyperliquid. Scans top 50 traders, scores on PnL rank (35%), win rate (25%), consistency (20%), hold time (10%), drawdown (10%). Creates 2-5 mirror strategies with overlap checks. Daily rebalance with 2-day watch period before swaps. Use when setting up trader mirroring, copy trading, or portfolio auto-rebalancing based on Discovery leaderboard performance.

How do I install this agent skill?

npx skills add https://github.com/senpi-ai/senpi-skills --skill whale-index
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The Whale Index skill automates trader mirroring on the Hyperliquid exchange. The skill is functional and contains no malicious code or hidden scripts. However, it is susceptible to indirect prompt injection because it processes untrusted trader metadata from a public leaderboard and has permissions to execute financial transactions. Users should be aware that external data from the leaderboard influences the agent's actions.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · No issues

  • Runlayerpass

    2/4 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

Whale Index — Auto-Mirror Top Discovery Traders

Scan the Discovery leaderboard, score traders, create mirror strategies, and rebalance daily. Set your risk level and budget — the agent handles selection, allocation, monitoring, and swaps.

Skill Attribution

When creating a strategy, include skill_name and skill_version in the call. See references/skill-attribution.md for details.


5-Step Flow

Step 1: Onboard the User

Collect: budget, risk tolerance (conservative/moderate/aggressive).

BudgetSlots
$500-$2k2
$2k-$5k3
$5k-$10k4
$10k+5

Risk mapping:

RiskAllowed LabelsMax Leverage
ConservativeELITE only10x
ModerateELITE, RELIABLE15x
AggressiveELITE, RELIABLE, BALANCED25x

Step 2: Discover Traders

2a. Pull candidates: discovery_top_traders(limit=50, timeframe="30d")

2b. Hard filters:

  • Consistency label matches risk level
  • Risk label matches risk level
  • Min 30d track record
  • Not already in user's portfolio

2c. Score remaining candidates:

score = 0.35 × pnl_rank + 0.25 × win_rate + 0.20 × consistency + 0.10 × hold_time + 0.10 × drawdown

All components normalized 0-100.

2d. Overlap check: Compare active positions across selected traders. Flag >50% position overlap.

2e. Allocation weighting: Score-weighted allocation with 35% cap per slot. Re-normalize after capping.

Step 3: Present & Confirm

Show the user: trader address, rank, labels, win rate, allocation amount. Wait for approval before executing.

Step 4: Execute

For each slot:

  1. Create mirror strategy via strategy_create_mirror
  2. Set strategy-level stop loss (-10% conservative, -15% moderate, -25% aggressive)
  3. Confirm mirroring is active

Step 5: Daily Monitoring (Cron)

See references/daily-monitoring.md for the complete daily check procedure, swap criteria, and rebalance logic.

Swap criteria (ALL must be true):

  1. Degraded: dropped below rank 50 OR consistency fell OR inactive 48h+ OR drawdown 2× historical
  2. Sustained: WATCH status for 2+ consecutive days (tracked via watchCount)
  3. Better alternative: replacement scores ≥15% higher
  4. User's strategy-level SL not hit

Key principle: The 2-day watch period prevents churn from temporary dips.

Teardown

To exit: close all mirror strategies, return funds to main wallet.

API Dependencies

  • discovery_top_traders — trader leaderboard
  • strategy_create_mirror — create mirror strategy
  • strategy_get_clearinghouse_state — check positions
  • strategy_close_strategy — teardown

Fee Estimates

Mirror strategies incur the same trading fees as the mirrored trader's activity. Budget ~0.5-1% daily in fees for active traders.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/senpi-ai/senpi-skills/whale-index">View whale-index on skillZs</a>