Atlas / Skills / jeremylongshore / Analyzing On Chain Data

Analyzing On Chain DataSAFE

skills/jeremylongshore/analyzing-on-chain-data

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.28.0
Hosts
1 documented
License
MIT
Stars
2,823
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: analyzing-on-chain-data
description: '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".

  '
allowed-tools: Read, Write, Edit, Grep, Glob, Bash(crypto:onchain-*)
version: 1.28.0
author: Jeremy Longshore <[email protected]>
license: MIT
tags:
- crypto
- monitoring
- analyzing-on
compatibility: Designed for Claude Code
---
# Analyzing On-Chain Data

## Overview

Analyze 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.

## Prerequisites

- Python 3.8+ with `requests` library installed
- DeFiLlama API access (free, no key required for most endpoints)
- Optional: CoinGecko API key for supplementary token price data
- `onchain_analytics.py` CLI script available in the plugin directory
- `data_fetcher.py` and `metrics_calculator.py` modules for programmatic usage

## Instructions

1. Run `python onchain_analytics.py protocols` to retrieve the top DeFi protocols ranked by total value locked (TVL).
2. Filter protocol results by category using `--category lending`, `--category dex`, or `--category "liquid staking"` to narrow the scope.
3. Filter by chain with `--chain ethereum` or `--chain arbitrum` to isolate chain-specific protocol data.
4. Sort results by alternative metrics using `--sort market_share` or `--sort tvl_to_mcap` to surface undervalued protocols.
5. Run `python onchain_analytics.py chains` to retrieve chain-level TVL rankings across all tracked networks.
6. Run `python onchain_analytics.py fees --protocol aave` to pull fee and revenue data for a specific protocol.
7. Run `python onchain_analytics.py dex --chain ethereum` to analyze DEX trading volumes filtered by chain.
8. Run `python onchain_analytics.py yields --min-tvl 5000000 --chain ethereum` to identify yield opportunities above a minimum TVL threshold.
9. Run `python onchain_analytics.py trends --threshold 5` to detect protocols with significant TVL changes (threshold is percentage).
10. Export results in JSON or CSV format using `--format json` or `--format csv` and redirect to file for downstream analysis.

See `${CLAUDE_SKILL_DIR}/references/implementation.md` for the full four-step implementation workflow.

## Output

- Protocol rankings table with name, TVL, market share percentage, and TVL-to-market-cap ratio
- Chain TVL rankings showing aggregate locked value per network
- Fee and revenue reports per protocol with daily/weekly/monthly breakdowns
- DEX volume tables with per-chain and per-DEX breakdowns
- Yield opportunity listings filtered by minimum TVL and chain, including APY and pool details
- Trending protocol alerts showing TVL percentage changes above the configured threshold
- Stablecoin market cap summaries
- JSON (`output.json`) or CSV (`output.csv`) export files for programmatic consumption

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| `Request timeout` | DeFiLlama API slow or unreachable | Wait and retry; check  for outages; use cached data if available |
| `Protocol not found: invalid-name` | Protocol slug does not match DeFiLlama database | Run `python onchain_analytics.py protocols` to find the exact slug; slugs are case-sensitive |
| `No data returned for query` | Filter too restrictive or data unavailable | Remove filters and retry; verify the category or chain exists; try a broader time range |
| `TVL data unavailable for some protocols` | New protocols or data collection gaps | Check DeFiLlama directly; data typically appears within 24 hours of listing |
| `Data may be stale (last updated: X hours ago)` | Local cache not refreshed | Clear cache with `rm ~/.onchain_analytics_cache.json`; use `--verbose` to check cache status |
| `Showing top 50 of 1000+ protocols` | Output truncated for readability | Use `--limit` to increase count or `--format json` for full untruncated data |
| `UnicodeEncodeError` | Terminal encoding mismatch | Use `--format json` for safe output or set `LANG=en_US.UTF-8` |

## Examples

### Daily DeFi Overview

```bash
python onchain_analytics.py protocols --limit 20
python onchain_analytics.py chains
python onchain_analytics.py trends
```

Produces a snapshot of the top 20 protocols by TVL, all chain rankings, and any protocols trending above the default threshold.

### Research a Lending Protocol

```bash
python onchain_analytics.py protocols --category lending --sort tvl_to_mcap
python onchain_analytics.py fees --protocol aave
```

Ranks all lending protocols by TVL-to-market-cap ratio (identifying potentially undervalued protocols), then pulls detailed fee and revenue data for Aave.

### Find High-TVL Yield Opportunities on Ethereum

```bash
python onchain_analytics.py yields --min-tvl 10000000 --chain ethereum --limit 50  # 10000000 = 10M limit
```

Returns up to 50 yield pools on Ethereum with at least $10M in TVL, sorted by APY. Export with `--format csv > yields.csv` for spreadsheet analysis.

## Resources

- [DeFiLlama API Documentation](https://defillama.com/docs/api) -- primary data source for TVL, fees, yields, and DEX volumes
- DeFiLlama Status Page -- check API availability and outage reports
- [CoinGecko API](https://www.coingecko.com/en/api/documentation) -- supplementary token price and market cap data
- [Dune Analytics](https://dune.com/) -- custom SQL queries against on-chain data for deeper analysis
- [The Graph](https://thegraph.com/) -- decentralized indexing protocol for querying blockchain data via GraphQL
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (1 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWPrompt injection · prompt.credential_read · CWE-94, CWE-1427
references/implementation.md:7
1. Use Read tool to load API credentials from ${CLAUDE_SKILL_DIR}/config/crypto-apis.env
Why it matters. asks the agent to read credentials

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__analyzing-on-chain-data.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-084f83675ca38aSAFEB89first audit
06

Questions

What does the Analyzing On Chain Data skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Analyzing On Chain Data safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Analyzing On Chain Data access on my machine?

The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.

Which assistants does Analyzing On Chain Data work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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