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datanalysis-credit-risk

datanalysis-credit-risk is a skill for Claude Code, Codex from boshi-xixixi/TraeSkill. It costs 111 tokens per session (1,354 once invoked), scanned A, original, MIT.

A credit-risk data preparation pipeline for raw lending data. It checks data quality, separates out-of-sample records for later validation, and screens variables before loan-risk modeling.

In plain words
What is it for?
Use it to measure missing values, filter abnormal periods, compare samples by organization, and remove features using missingness, information value, stability, noise, and correlation checks.
Why use it?
It helps remove unreliable, overly incomplete, unstable, noisy, or redundant variables before they distort a credit-risk model.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

not rated 282repo +1 5mo ago A scan 111 tokens original MIT

Good fit Use it to measure missing values, filter abnormal periods, compare samples by organization, and remove features using missingness, information value, stability, noise, and correlation checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/boshi-xixixi/traeskill/datanalysis-credit-risk
View source ↗ boshi-xixixi/TraeSkill
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.

Any agent
npx skills add boshi-xixixi/TraeSkill --skill datanalysis-credit-risk
Clone the repo
git clone --depth 1 https://github.com/boshi-xixixi/TraeSkill

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 datanalysis-credit-risk

README.md
[![agentmods](https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/datanalysis-credit-risk/github.svg)](https://agentmods.dev/skills/boshi-xixixi/traeskill/datanalysis-credit-risk)
Your own site
<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/datanalysis-credit-risk"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/datanalysis-credit-risk/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for datanalysis-credit-risk

Your own site · 80×15
<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/datanalysis-credit-risk"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/datanalysis-credit-risk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,354 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00111 $0.01354
Opus 5.5 $0.00044 $0.00542
Sonnet 5.5 $0.00022 $0.00271
Haiku 4.5 $0.00011 $0.00135

Measured 2mo ago against content hash c54807b18fa6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

datanalysis-credit-risk 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 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (references/analysis.py, references/func.py, scripts/example.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.trae/Skills/.agents/skills/datanalysis-credit-risk/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Cleaning and Variable Screening

Quick Start

# Run the complete data cleaning pipeline
python ".github/skills/datanalysis-credit-risk/scripts/example.py"

Complete Process Description

The data cleaning pipeline consists of the following 11 steps, each executed independently without deleting the original data:

  1. Get Data - Load and format raw data
  2. Organization Sample Analysis - Statistics of sample count and bad sample rate for each organization
  3. Separate OOS Data - Separate out-of-sample (OOS) samples from modeling samples
  4. Filter Abnormal Months - Remove months with insufficient bad sample count or total sample count
  5. Calculate Missing Rate - Calculate overall and organization-level missing rates for each feature
  6. Drop High Missing Rate Features - Remove features with overall missing rate exceeding threshold
  7. Drop Low IV Features - Remove features with overall IV too low or IV too low in too many organizations
  8. Drop High PSI Features - Remove features with unstable PSI
  9. Null Importance Denoising - Remove noise features using label permutation method
  10. Drop High Correlation Features - Remove high correlation features based on original gain
  11. Export Report - Generate Excel report containing details and statistics of all steps

Core Functions

Function Purpose Module
get_dataset() Load and format data references.func
org_analysis() Organization sample analysis references.func
missing_check() Calculate missing rate references.func
drop_abnormal_ym() Filter abnormal months references.analysis
drop_highmiss_features() Drop high missing rate features references.analysis
drop_lowiv_features() Drop low IV features references.analysis
drop_highpsi_features() Drop high PSI features references.analysis
drop_highnoise_features() Null Importance denoising references.analysis
drop_highcorr_features() Drop high correlation features references.analysis
iv_distribution_by_org() IV distribution statistics references.analysis
psi_distribution_by_org() PSI distribution statistics references.analysis
value_ratio_distribution_by_org() Value ratio distribution statistics references.analysis
export_cleaning_report() Export cleaning report references.analysis

Read the full file on GitHub · 114 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 114 lines · 111 tokens per session scan A c54807b18fa6

Subscribe to this mod's changes

datanalysis-credit-risk is a skill published in the GitHub repository boshi-xixixi/TraeSkill (282 stars, last pushed 5mo ago), licensed MIT. It adds 111 tokens to every session and 1,354 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.

Analytics and metricsFinance and fintechai-agentai-codingskillstraeworkflow
Related

datanalysis-credit-risk compared with skills from other repositories

datanalysis-credit-risk next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
datanalysis-credit-riskboshi-xixixi/TraeSkillSkill2825mo agoMITA111Claude Code, Codex
azure-cost-managementMicrosoftDocs/Agent-SkillsSkill8075d agoCC-BY-4.0A103Claude Code
azure-payment-hsmMicrosoftDocs/Agent-SkillsSkill8075d agoCC-BY-4.0A118Claude Code
xiaohongshu-financeIbook000/ibook-skillSkill72mo agoMITA169Claude Code, Codex
jiaoyiyuan-tonyIbook000/ibook-skillSkill72mo agoMITA162Claude Code, Codex
paySarthib7/agentsmithSkill1013d agononeA301Claude Code, Codex
mppxSarthib7/agentsmithSkill1013d agononeA45Claude Code, Codex