resilience-classify — stablecoin resilience classification resilience-classify, stablecoin-dashboard, community, stablecoin resilience classification, ide skills, resilience-classify install, resilience-classify for liquidity pools, resilience-classify for stablecoin dashboards, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Financial Analysis Agents needing accurate stablecoin tracking and override capabilities. resilience-classify is a skill that classifies stablecoins based on their resilience, identifying cases where default inferences are incorrect and applying overrides for improved accuracy.

Features

Identifies stablecoin candidates from src/lib/stablecoins.ts
Applies default inference rules using inferResilienceDefaults()
Overrides default inferences for accurate resilience scores
Reads coin data from stablecoins.ts for classification
Invoked after resilience types and default inference implementation
Supports auditing resilience scores for accuracy

# Core Topics

TokenBrice TokenBrice
[3]
[1]
Updated: 2/27/2026

Agent Capability Analysis

The resilience-classify skill by TokenBrice is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for stablecoin resilience classification, resilience-classify install, resilience-classify for liquidity pools.

Ideal Agent Persona

Perfect for Financial Analysis Agents needing accurate stablecoin tracking and override capabilities.

Core Value

Empowers agents to identify stablecoins with incorrect default inferences and apply overrides for precise tracking, utilizing libraries like `src/lib/stablecoins.ts` and implementing default inference rules from `inferResilienceDefaults()`.

Capabilities Granted for resilience-classify

Auditing resilience scores for accuracy
Tracking new stablecoin additions
Overriding default inferences for stablecoin dashboards and liquidity pools

! Prerequisites & Limits

  • Requires implementation of resilience types and default inference
  • Limited to stablecoin tracking and analysis
Labs Demo

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Boot Container Sandbox

resilience-classify

Install resilience-classify, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Resilience Classification Skill

Identify stablecoins where the default inference (from backing + governance) is incorrect and apply overrides.

When to Invoke

  • After the resilience types and default inference are implemented
  • When a new stablecoin is added to the tracker
  • When auditing resilience scores for accuracy

Process

Step 1 — Identify candidates

Read all coins from src/lib/stablecoins.ts. For each, apply the default inference rules (see inferResilienceDefaults() in src/lib/report-cards.ts). Flag coins where the default is likely wrong based on:

  • collateral text containing keywords: "Solana", "tBTC", "WBTC", "delta-neutral", "perpetual", "CEX", "off-exchange", "Copper", "Ceffu", "Fireblocks", "bridged"
  • pegMechanism text containing: "Solana", "Bitcoin L2", "not Ethereum", "Tron"
  • contracts[] listing only non-Ethereum chains
  • contracts[] listing multiple chains (candidate for deploymentModel override)
  • backing = crypto-backed but collateral text mentions RWAs, bridges, or exotic strategies
  • Coins on this known-override list: HYUSD, USDe, meUSD, USDD, sUSD (Synthetix), USDJ, BOLD, rwaUSDi, satUSD
  • collateral or pegMechanism text mentioning: "LayerZero", "OFT", "CCIP", "Wormhole", "Axelar", "multichain", "cross-chain"

Step 2 — Research each candidate

For each flagged coin, in parallel:

  • WebFetch official docs for collateral composition, custody arrangement, and chain architecture
  • WebSearch for "{coin name}" stablecoin collateral custody chain to find independent analysis
  • Cross-reference with existing collateral and pegMechanism text fields

Step 3 — Classify

For each coin, determine the correct tier:

Sub-factorQuestionTiers
chainTierWhere does the core protocol live and where is collateral held?ethereum (100), stage1-l2 (66), established-alt-l1 (20), unproven (0)
deploymentModelHow does the token extend to other chains?single-chain (×1.0), canonical-bridge (×0.85), third-party-bridge (×0.60), native-multichain (×0.40)
collateralQualityWhat are the trust assumptions in backing assets?native (100), eth-lst (66), rwa (50), alt-lst-bridged-or-mixed (20), exotic (0)
custodyModelWho holds the collateral and can it be verified on-chain?onchain (100), institutional (50), cex (0)

Classification rules:

  • chainTier: Based on where the protocol's smart contracts and collateral vaults live, NOT where the token is bridged to
  • deploymentModel: Use the decision tree:
    Can the protocol mint/redeem on >1 chain independently?
      YES → native-multichain
      NO → Is the token on >1 chain?
        NO → single-chain
        YES → Does cross-chain transfer use the L2's canonical rollup bridge?
          YES → canonical-bridge
          NO → third-party-bridge (CCIP, LayerZero, Wormhole, etc.)
    
  • collateralQuality: For mixed collateral, use the tier of the riskiest significant component (>15% of backing). Stablecoin portions don't count here (handled by dependency risk)
  • custodyModel: If ANY significant portion is held off-chain by a non-institutional custodian, classify as cex
  • When uncertain between two tiers, choose the riskier (lower score) tier

Step 4 — Present findings

For each coin needing an override, present:

## {Name} ({Symbol}) — ID: {id}

### Default inference
- chainTier: {inferred} — {correct/wrong because...}
- deploymentModel: {inferred} — {correct/wrong because...}
- collateralQuality: {inferred} — {correct/wrong because...}
- custodyModel: {inferred} — {correct/wrong because...}

### Proposed overrides
- {field}: {value} — {justification with source URL}

### No override needed
- {fields where default is correct}

Step 5 — Apply

After user approval, edit src/lib/stablecoins.ts to add only the override fields that differ from defaults. Example:

typescript
1usd("123", "Example", "EX", "crypto-backed", "decentralized", { 2 // ... existing fields ... 3 chainTier: "established-alt-l1", 4 deploymentModel: "third-party-bridge", 5 collateralQuality: "alt-lst-bridged-or-mixed", 6}),

Run npm run build to verify.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is resilience-classify?

Perfect for Financial Analysis Agents needing accurate stablecoin tracking and override capabilities. resilience-classify is a skill that classifies stablecoins based on their resilience, identifying cases where default inferences are incorrect and applying overrides for improved accuracy.

How do I install resilience-classify?

Run the command: npx killer-skills add TokenBrice/stablecoin-dashboard/resilience-classify. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for resilience-classify?

Key use cases include: Auditing resilience scores for accuracy, Tracking new stablecoin additions, Overriding default inferences for stablecoin dashboards and liquidity pools.

Which IDEs are compatible with resilience-classify?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for resilience-classify?

Requires implementation of resilience types and default inference. Limited to stablecoin tracking and analysis.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add TokenBrice/stablecoin-dashboard/resilience-classify. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use resilience-classify immediately in the current project.

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