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Install in OpenClaw
/install n0ir-defi-yield-scout
Description
Scan and compare USDC yield farming options on Base and Arbitrum with APY rankings, breakeven analysis, historical trends, and protocol risk summaries.
Usage Guidance
This skill appears to do what it says: it queries DeFiLlama, filters to a small whitelist of protocols, and presents scan/breakeven/history analyses. Before installing, consider: (1) the source and homepage are unknown — verify you trust the publisher and review the included Python file yourself; (2) the skill fetches live data from yields.llama.fi and writes a cache file in your temp directory (not sensitive, but note it persists data for 15 minutes); and (3) this is informational only — always verify on-chain before moving funds. No credentials are requested, and there are no downloads or unusual privileges.
Capability Analysis
Type: OpenClaw Skill
Name: n0ir-defi-yield-scout
Version: 1.0.0
The OpenClaw skill 'n0ir-defi-yield-scout' is classified as benign. While it requests powerful `Bash` and `Read` tool permissions in `SKILL.md`, these are used for their stated purpose: `Bash` to execute the local `scripts/yield_scout.py` Python script, and `Read` to access local documentation (`references/protocols.md`). The Python script itself (`scripts/yield_scout.py`) uses standard libraries, connects only to the expected DeFiLlama API, and handles file caching in `tempfile`. There is no evidence of data exfiltration, persistence mechanisms, obfuscation, or prompt injection attempts in `SKILL.md` designed to subvert the agent's behavior or access unauthorized resources. The code logic is straightforward and aligns with the skill's described functionality.
Capability Assessment
Purpose & Capability
Name/description match the implementation: the Python CLI fetches pool and chart data from DeFiLlama, filters to the listed whitelisted protocols and L2 chains, and implements scan/breakeven/history/protocols subcommands described in SKILL.md.
Instruction Scope
SKILL.md directs the agent to run the included Python script and to use DeFiLlama as the data source. The runtime instructions do not ask the agent to read unrelated files or environment variables. The script only reads/writes a cache file in the system temp directory and calls the DeFiLlama endpoints declared in the code.
Install Mechanism
No install spec is provided (instruction-only with bundled script). The code uses only Python stdlib and performs a harmless cache write to the system temp directory; there are no downloads from untrusted URLs or package installs.
Credentials
The skill requests no environment variables, no credentials, and only queries public DeFiLlama endpoints. No secret or unrelated service access is required.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide configuration. It persists only a temporary cache file (yield_scout_pools.json) in the OS temp directory.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install n0ir-defi-yield-scout - After installation, invoke the skill by name or use
/n0ir-defi-yield-scout - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Rebrand with n0ir identity
Metadata
Frequently Asked Questions
What is n0ir DeFi Yield Scout?
Scan and compare USDC yield farming options on Base and Arbitrum with APY rankings, breakeven analysis, historical trends, and protocol risk summaries. It is an AI Agent Skill for Claude Code / OpenClaw, with 548 downloads so far.
How do I install n0ir DeFi Yield Scout?
Run "/install n0ir-defi-yield-scout" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is n0ir DeFi Yield Scout free?
Yes, n0ir DeFi Yield Scout is completely free (open-source). You can download, install and use it at no cost.
Which platforms does n0ir DeFi Yield Scout support?
n0ir DeFi Yield Scout is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created n0ir DeFi Yield Scout?
It is built and maintained by mortiee (@joaoolucas); the current version is v1.0.0.
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