skill-045

skill-045 is a skill for Claude Code, Codex from legendtkl/agentic-skill-router. It costs 29 tokens per session (513 once invoked), scanned A, original, MIT.

A set of methods for measuring differences in income, wealth, and access to resources between groups. It includes measures such as the Gini coefficient, Lorenz curve, and Theil index.

In plain words
What is it for?
Use it to study economic disparities across sectors or demographic groups, calculate inequality measures, and support policy or social research.
Why use it?
It provides established ways to turn inequality data into comparable measurements instead of relying only on general impressions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/legendtkl/agentic-skill-router/skill-045
Any agent
npx skills add legendtkl/agentic-skill-router --skill skill-045
Clone the repo
git clone --depth 1 https://github.com/legendtkl/agentic-skill-router

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-045

README.md
[![agentmods](https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-045.svg)](https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-045)
Your own site
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-045"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-045.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 513 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00513
Opus 5 $0.00015 $0.00257
Sonnet 5 $0.00006 $0.00103
Haiku 4.5 $0.00003 $0.00051

Measured 6d ago against content hash 862ef95c077a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

skill-045 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

experiments/dci-compare/skillrouter-skills/skill-045/SKILL.md · 73 lines

What it actually says

Economic Inequality Analysis

This skill provides insights into techniques and methodologies for analyzing economic inequality, a critical issue in socio-economic research.

Overview

Economic inequality refers to disparities in wealth, income, and access to resources among individuals or groups. Understanding these inequalities is essential for:

  • Informing policy decisions
  • Understanding social dynamics
  • Promoting economic equity

Measuring Economic Inequality

Several metrics can be used to quantify economic inequality, including:

  • Gini Coefficient
  • Lorenz Curve
  • Theil Index

Gini Coefficient

The Gini coefficient measures income inequality within a population, ranging from 0 (perfect equality) to 1 (maximum inequality).

Python Implementation
import numpy as np
import pandas as pd
def gini_coefficient(data):
    n = len(data)
    if n == 0:
        return 0
    index = np.arange(1, n + 1)
    return (2 * np.sum(index * np.sort(data)) / np.sum(data) - (n + 1)) / n

# Load your income data
# income_data = pd.read_csv('income_data.csv')

# Calculate Gini Coefficient
gini = gini_coefficient(income_data['income'])
print(f'Gini Coefficient: {gini}')

Lorenz Curve

The Lorenz curve is a graphical representation of income distribution, showing the proportion of total income earned by cumulative percentages of the population. It helps visualize inequality.

Python Implementation
import matplotlib.pyplot as plt

# Calculate cumulative income shares
income_data = income_data.sort_values('income')
income_data['cumulative_income'] = income_data['income'].cumsum() / income_data['income'].sum()

# Plot Lorenz Curve
plt.plot(income_data['cumulative_income'], label='Lorenz Curve')
plt.plot([0, 1], [0, 1], linestyle='--', color='red')  # Line of equality
plt.title('Lorenz Curve')
plt.xlabel('Cumulative share of population')
plt.ylabel('Cumulative share of income')
plt.legend()
plt.show()

Conclusion

Analyzing economic inequality provides valuable insights into the distribution of wealth and resources. Employing various measurement techniques allows researchers and policymakers to address disparities effectively.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 73 lines · 29 tokens per session scan A 862ef95c077a

Subscribe to this mod's changes

skill-045 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 513 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens