Compute bin spread, reserve imbalance, and concentration to classify HODLMM pool volatility regimes.
npx skills add https://github.com/aibtcdev/skills --skill hodlmm-risk-aibtcdev
Please help me install this Agent Skill. Skill: hodlmm-risk Source: https://github.com/aibtcdev/skills/tree/main/hodlmm-risk Command: npx skills add https://github.com/aibtcdev/skills --skill hodlmm-risk-aibtcdev
Monitors HODLMM pool volatility and LP risk on Bitflow. Computes bin spread, reserve imbalance, and concentration metrics to classify market regime and emit position-sizing signals for LP managers. Read-only; mainnet-only.
Run bun run hodlmm-risk/hodlmm-risk.ts assess-pool --pool-id <POOL_ID> to fetch current risk metrics.
High-intent search queries and answers about installing and using this skill.
You can monitor HODLMM pool volatility by computing bin spread, reserve imbalance, and concentration metrics to classify the market regime and emit position-sizing signals as JSON outputs.
Market regime classification uses bin spread, reserve imbalance, and concentration metrics to categorize conditions as calm, elevated, or crisis for liquidity providers.
Assess pool-level risk by running a read-only evaluation that checks volatility scores and outputs actionable signals like safeToAddLiquidity and recommendedBinWidth for your positions.
Yes, the skill emits deterministic JSON signals including safeToAddLiquidity, recommendedBinWidth, and maxExposurePct that downstream agents can use to automate position sizing.
Yes, the commander dependency is required to execute risk assessments, fetch current metrics, and evaluate pool-level volatility on mainnet environments.
Jay0xxAssess HODLMM pool volatility risk and return structured JSON signals.
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cliqueengagementsAutomate HODLMM liquidity rebalancing via the Bitflow DLMM router.
ebrahim-saniAnalyze DeFi yields across lending, staking, and liquidity pools with risk-adjusted scores.
