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analyzing-on-chain-data

Process perform on-chain analysis including whale tracking, token flows, and network activity. Use when performing crypto analysis. Trigger with phrases like "analyze crypto", "check blockchain", or "monitor market".

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill analyzing-on-chain-data
What are skills?

59

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

92%

52%

DeFi Market Intelligence Brief

Report generation workflow

Criteria
Without context
With context

Report directory

0%

100%

Multiple subcommands

0%

100%

Chains subcommand used

0%

100%

Trends subcommand used

0%

0%

Fees subcommand used

0%

100%

onchain_analytics.py script used

0%

100%

Market summary section

100%

100%

Chain TVL section

100%

100%

Trending protocols section

100%

100%

Actionable insights

100%

100%

run_log.sh is executable shell

100%

100%

Without context: $0.9613 · 3m 19s · 31 turns · 28 in / 11,563 out tokens

With context: $1.2855 · 3m 10s · 46 turns · 4,956 in / 10,580 out tokens

100%

68%

Ethereum Yield Opportunity Scan

Yield analysis with filters

Criteria
Without context
With context

yields subcommand used

0%

100%

--chain filter applied

0%

100%

--min-tvl filter applied

0%

100%

JSON format for raw output

0%

100%

Cache cleared

0%

100%

onchain_analytics.py script used

0%

100%

yields_raw.json produced

100%

100%

yield_report.md produced

100%

100%

commands.sh is valid shell

100%

100%

Top 15 limit

100%

100%

Without context: $0.3390 · 1m 24s · 18 turns · 19 in / 5,000 out tokens

With context: $0.6923 · 2m 18s · 30 turns · 800 in / 7,207 out tokens

100%

52%

Lending Protocol Valuation Comparison

Protocol metrics programmatic analysis

Criteria
Without context
With context

DataFetcher import

0%

100%

MetricsCalculator import

0%

100%

fetch_protocols called

0%

100%

Lending category filter

100%

100%

calculate_market_share called

0%

100%

calculate_tvl_to_mcap called

0%

100%

Ranked by tvl_to_mcap

100%

100%

lending_comparison.json written

100%

100%

vars() conversion used

0%

100%

Actionable insight in report

100%

100%

lending_report.md produced

100%

100%

Without context: $0.8065 · 2m 33s · 33 turns · 2,011 in / 8,890 out tokens

With context: $0.7784 · 2m 13s · 30 turns · 11,769 in / 6,747 out tokens

Evaluated
Agent
Claude Code

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.