injectivelabs/agent-skills

injective-trading-chain-analysis

Analyze Injective chain-level code and protocol specs.

First seen Mar 11, 2026

Installation

$ npx skills add injectivelabs/agent-skills --skill injective-trading-chain-analysis

Summary

  • Analyze Injective chain-level code and protocol specs.
  • Read Go source from injective-core, explain exchange module features (position offsetting, liquidations, margin tiers, funding), and identify spec gaps.
  • Use when discussing chain mechanics, reviewing Injective Go code, or explaining protocol behavior.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 5
License LICENSE
Default branch master
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version0.0.0
LicenseMIT
More metadata
author
ckhbtc
version
0.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,433 B
  • docs README.md 1,083 B
  • docs SUMMARY.md 346 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 25 installs

SKILL.md

Injective Trading Chain Analysis, Skill Guide

Analyze Injective chain-level protocol code (Go/Cosmos SDK). Explain exchange module mechanics, review spec completeness, and trace execution paths for derivatives trading features.

When to apply

  • Understand how Injective's exchange module works under the hood

Sample prompts: ./references/sample-prompts.md

Important

Exchange module

Key files for the source code of the Injective exchange module may be found in: ./references/injective-core-key-files.md

Cosmos SDK Context

  • Injective is built on Cosmos SDK (currently v0.47.x)
  • Uses Tendermint BFT consensus
  • Exchange module is a custom Cosmos SDK module
  • State stored in IAVL tree via keeper pattern
  • Messages processed in DeliverTx phase of ABCI

Activities

Explain Injective's exchange module

The exchange module (x/exchange) handles all trading on Injective.

Key areas:

  • Derivative Markets

- MsgCreateDerivativeMarketOrder / MsgCreateDerivativeLimitOrder - Position management: open, close, reduce, increase - Margin: initial margin, maintenance margin, margin ratio checks - Liquidation: forced closure when margin ratio < maintenance margin

  • Position Offsetting (MsgOffsetPosition)

- Allows netting opposing positions between subaccounts - Reduces total margin requirements - Chain-level implementation in derivative_liquidations.go

  • Liquidation Engine

- Triggered when position margin < maintenance margin requirement - Liquidator receives a portion of remaining margin as reward - Insurance fund covers negative PnL if position is underwater - Code path: derivative_liquidations.goExecuteLiquidation()

  • Funding Rates

- Calculated every hour for perpetual markets - Formula: FundingRate = (TWAPperp - TWAPoracle) / TWAP_oracle - Capped by MaxFundingRate parameter per market - Applied to all open positions proportional to quantity

  • Market Parameters

- InitialMarginRatio, MaintenanceMarginRatio - MakerFeeRate, TakerFeeRate (can be negative for rebates) - MinPriceTickSize, MinQuantityTickSize - OracleType, OracleScaleFactor

Analyze chain code

  1. Read the Go source from the user's local clone or fetch from GitHub (InjectiveLabs/injective-core)
  2. Trace the execution path from message handler → keeper → state changes
  3. Explain in plain English what the code does, step by step
  4. Identify spec gaps - what's missing, ambiguous, or could break
  5. Compare to docs - check if behavior matches published documentation

Related skills

  • injective-mcp-servers

If these skills are not available, selectively run the following commands to install them:

npx skills add InjectiveLabs/agent-skills --skill injective-mcp-servers

Prerequisites

  • Injective MCP server must be running
  • User prompts should be issued from an AI tool that is configured to talk to the Injective MCP server