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Indigo Analytics
by
Angelos Kappos
· GitHub ↗
· v1.0.0
· MIT-0
247
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0
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0
Active Installs
1
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Install in OpenClaw
/install indigo-analytics
Description
Query TVL, protocol statistics, APR rewards, and DEX yield data for the Indigo Protocol.
README (SKILL.md)
Protocol Analytics
Query TVL, protocol statistics, APR rewards, and DEX yield data for the Indigo Protocol on Cardano.
MCP Tools
| Tool | Description |
|---|---|
get_tvl |
Get the total value locked in Indigo Protocol |
get_protocol_stats |
Get protocol-wide statistics and metrics |
get_apr_rewards |
Get APR reward rates across Indigo pools |
get_apr_by_key |
Get APR reward rate for a specific pool key |
get_dex_yields |
Get current DEX yield data for Indigo iAsset pairs |
Sub-Skills
- TVL & Stats — Total value locked and protocol statistics
- APR Rewards — APR reward rates for pools
- DEX Yields — DEX yield data for iAsset pairs
References
- MCP Tools Reference — Detailed tool parameters and return types
- Analytics Concepts — TVL, APR/APY, pool types, and data sources
Usage Guidance
This skill appears coherent for read-only analytics: it defines MCP tools and example workflows without requesting credentials or installing code. However, the package is documentation-only and the actual data access will depend on platform-provided MCP tool implementations and network calls at runtime. Before installing, verify you trust the skill owner (no homepage provided), confirm how the platform implements get_tvl/get_apr/get_dex_yields (which external APIs they call), and ensure the agent is not allowed to access sensitive host files or secrets. If you need stricter assurance, ask for a published source/homepage or a vetted implementation of the MCP tools, and monitor the agent's outbound network requests when first using the skill.
Capability Analysis
Type: OpenClaw Skill
Name: indigo-analytics
Version: 1.0.0
The indigo-analytics skill bundle provides documentation and tool definitions for querying DeFi metrics related to the Indigo Protocol on Cardano. The bundle consists entirely of metadata and Markdown instructions (SKILL.md, sub-skills/*.md) that guide an AI agent on how to use specific analytics tools like get_tvl and get_apr_rewards. There is no executable code, obfuscation, or evidence of malicious intent; the instructions are strictly aligned with the stated purpose of protocol data retrieval.
Capability Assessment
Purpose & Capability
Name and description match the declared MCP tools and the sub-skill workflows (TVL, protocol stats, APR, DEX yields). There are no unrelated environment variables, binaries, or install steps requested that would be inconsistent with an analytics skill.
Instruction Scope
SKILL.md and sub-skills only instruct the agent to call MCP tools (get_tvl, get_apr_rewards, get_dex_yields, etc.) and to present/compare results. The skill package includes only documentation; it does not include implementations for the MCP tools, so it implicitly relies on the platform to provide those tool endpoints. The declared allowed-tools (Read, Glob, Grep) could permit filesystem reads at runtime, but the instructions in the skill do not direct reading of arbitrary host files or secrets — they appear intended to read the skill’s own docs and call platform MCP tools. Verify the platform's MCP tool implementations and runtime tool scope before trusting results.
Install Mechanism
Instruction-only skill with no install spec and no downloaded code. Nothing will be written or executed on disk by the skill package itself.
Credentials
The skill requests no environment variables, credentials, or config paths. The analytics tasks it describes (DefiLlama, Indigo indexer, DEX APIs) typically require no private credentials for read-only queries, so the absence of secrets is proportionate.
Persistence & Privilege
always is false and model invocation is permitted (platform default). The skill does not request persistent system-level privileges or attempt to modify other skills or global config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install indigo-analytics - After installation, invoke the skill by name or use
/indigo-analytics - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Indigo Analytics?
Query TVL, protocol statistics, APR rewards, and DEX yield data for the Indigo Protocol. It is an AI Agent Skill for Claude Code / OpenClaw, with 247 downloads so far.
How do I install Indigo Analytics?
Run "/install indigo-analytics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Indigo Analytics free?
Yes, Indigo Analytics is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Indigo Analytics support?
Indigo Analytics is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Indigo Analytics?
It is built and maintained by Angelos Kappos (@adacapo21); the current version is v1.0.0.
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