Analyzing On-Chain Data Agent Skill

Process perform on-chain analysis including whale tracking, token flows,.

Context cost
5.8k tokensestimated from the bundle, loaded when it triggers
Bundle
11 files · 55.5 kB4 scripts among them — read before you run
Licence
MITthe author’s own terms
Last change
—v1.28.0
Servers it uses
Noneruns standalone

What it does

Process perform on-chain analysis including whale tracking, token flows,

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

analytics

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md5.8 kB · preview
--- name: analyzing-on-chain-data allowed-tools: Read, Write, Edit, Grep, Glob, Bash(crypto:onchain-*) version: 1.28.0 author: Jeremy Longshore <jeremy@intentsolutions.io> license: MIT tags: - crypto - monitoring - analyzing-on compatibility: Designed for Claude Code ---
21# Analyzing On-Chain Data
22
23## Overview
24
25Analyze DeFi protocol metrics, chain-level TVL, fee revenue, DEX volumes, yield opportunities, and stablecoin market caps using DeFiLlama as the primary data source. Designed for DeFi researchers, protocol analysts, and yield farmers who need programmatic access to on-chain analytics without writing custom subgraph queries.
26
27## Prerequisites
28
29- Python 3.8+ with requests library installed
30- DeFiLlama API access (free, no key required for most endpoints)
31- Optional: CoinGecko API key for supplementary token price data
32- onchain_analytics.py CLI script available in the plugin directory
33- data_fetcher.py and metrics_calculator.py modules for programmatic usage
34
35## Instructions
36
371. Run python onchain_analytics.py protocols to retrieve the top DeFi protocols ranked by total value locked (TVL).
382. Filter protocol results by category using --category lending, --category dex, or --category "liquid staking" to narrow the scope.
393. Filter by chain with --chain ethereum or --chain arbitrum to isolate chain-specific protocol data.
404. Sort results by alternative metrics using --sort market_share or --sort tvl_to_mcap to surface undervalued protocols.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md805 words
Files11
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈130
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
5,695
on trigger
The instruction body and 10 supporting files, read only when the skill fires.
2.9%
of a 200k window
Ten skills this size would take about 29% of the window before you open a file.
050k100k150k200k context window

5.8k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

It asks the agent to write files, using whatever file access your client already has. Whether it reaches the network is not declared.

What it asks for
Writes filesyes
Network accessnot declared

Read from the allowed-tools line of this skill’s own SKILL.md. It also asks for Bash, which could do either, so what is not named there is not ruled out. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

11 files, 55.5 kB on disk. Mostly text — the instructions the model reads — with 4 scripts in it that your client would run only if the instructions tell it to.

  • SKILL.md5.8 kB
  • ARD.md7.3 kB
  • PRD.md2.2 kB
  • config/settings.yaml1.2 kB
  • references/errors.md2.0 kB
  • references/examples.md3.3 kB
  • references/implementation.md1.5 kB
  • scripts/data_fetcher.py7.8 kB
  • scripts/formatters.py6.2 kB
  • scripts/metrics_calculator.py7.8 kB
  • scripts/onchain_analytics.py10.4 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 4 scripts beside the text, so the bundle is 11 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Analyzing On-Chain Data · 5.8k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/analyzing-on-chain-data/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/analyzing-on-chain-data" ] && { [ ! -e .claude/skills/analyzing-on-chain-data ] || { mv .claude/skills/analyzing-on-chain-data "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/analyzing-on-chain-data" .claude/skills/ && echo "Installed .claude/skills/analyzing-on-chain-data"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add jeremylongshore/analyzing-on-chain-data

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/analyzing-on-chain-data/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/analyzing-on-chain-data/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/analyzing-on-chain-data" ] && { [ ! -e ~/.claude/skills/analyzing-on-chain-data ] || { mv ~/.claude/skills/analyzing-on-chain-data "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/analyzing-on-chain-data" ~/.claude/skills/ && echo "Installed ~/.claude/skills/analyzing-on-chain-data" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/analyzing-on-chain-data/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version1.28.0
Publishedno release date on file
PriceFree
Referencejeremylongshore/analyzing-on-chain-data

Versions

v1.28.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v1.28.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v1.28.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

Reviews

—no reviews yet

Nobody has reviewed this skill yet. The rating is the mean of the reviews written here, so there is none until somebody writes the first.

Sign in to review it

A review is tied to an account so it can be answered, edited and taken down by the person who wrote it.

Sign in
Who can post

Anybody with an account, one review each. It carries the version that was current when you wrote it, and the publisher may reply once.

Publisher
Servers0
Claim this skill