Credit Risk Data Cleaning
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
Validate data quality checker operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Data Quality Checker
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace data-quality-checker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/11-data-pipelines/data-quality-checker .claude/skills/data-quality-checker && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "data-quality-checker" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/data-quality-checker into .claude/skills/data-quality-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-quality-checker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/data-quality-checkerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace data-quality-checker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/11-data-pipelines/data-quality-checker .agents/skills/data-quality-checker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-quality-checker" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/data-quality-checker into .agents/skills/data-quality-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-quality-checker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace data-quality-checker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/11-data-pipelines/data-quality-checker .cursor/skills/data-quality-checker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "data-quality-checker" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/data-quality-checker into .cursor/skills/data-quality-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-quality-checker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/11-data-pipelines/data-quality-checker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace data-quality-checker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/11-data-pipelines/data-quality-checker .gemini/skills/data-quality-checker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "data-quality-checker" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/data-quality-checker into .gemini/skills/data-quality-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-quality-checker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace data-quality-checkerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/11-data-pipelines/data-quality-checker .github/skills/data-quality-checker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "data-quality-checker" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/data-quality-checker into .github/skills/data-quality-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-quality-checker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace data-quality-checker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/11-data-pipelines/data-quality-checker .opencode/skills/data-quality-checker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "data-quality-checker" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/data-quality-checker into .opencode/skills/data-quality-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-quality-checker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
data-quality-checker- GitHub stars
- 2.8k
- Token cost
- ~566 tokens
- SKILL.md length
- 196 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Validate data quality checker operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 4 steps: Provides step-by-step guidance for data… → Follows industry best practices and… → Generates production-ready code and… → …
- : data quality checker
- SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Quality Checker is an agent skill from jeremylongshore/tons-of-skills-marketplace. Validate data quality checker operations. Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker Part of the Data Pipelines skill category. Use when working with data quality checker functionality. Trigger with phrases like "data quality checker", "data checker", "data".
Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in Data & Analytics, covering Data cleaning and Data pipelines and ETL. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- : data quality checker
- Data quality checker Part of the Data Pipelines skill category
- Working with data quality checker functionality
- With phrases like data quality checker
Example prompts
- “data quality checker”
- “data checker”
- “/data-quality-checker”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*), Grep
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Provides step-by-step guidance for data quality checker
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(cmd:*)Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Data Quality Checker loads about 566 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 196 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 196 words, ~566 tokens.
Download SKILL.mdSave it as
.claude/skills/data-quality-checker/SKILL.md (or your agent's skills folder).- name
- data-quality-checker
- description
- Validate data quality checker operations. Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker Part of the Data Pipelines skill category. Use when working with data quality checker functionality. Trigger with phrases like "data quality checker", "data checker", "data".
- allowed-tools
- Read, Write, Edit, Bash(cmd:*), Grep
- compatibility
- Designed for Claude Code
- version
- 1.0.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- data, data-engineering
Data Quality Checker
Overview
This skill provides automated assistance for data quality checker tasks within the Data Pipelines domain.
When to Use
This skill activates automatically when you:
- Mention "data quality checker" in your request
- Ask about data quality checker patterns or best practices
- Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.
Instructions
- Provides step-by-step guidance for data quality checker
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with data quality checker" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of data pipelines concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/11-data-pipelines/data-quality-checker of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
Data Quality Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Data Quality Checker this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~566 | Automated safety check: Pass | MIT | |
| Credit Risk Data Cleaninggithub/awesome-copilot | 40k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Data Pipelineagulli/atlas-agents | 579 | — | ~714 | Automated safety check: Pass | MIT | |
| Authoritative Data Harvesteryushui2022/MathModel-Skill | 454 | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Data Quality Frameworkswshobson/agents | 40k | 11 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Dbt Transformation Patternswshobson/agents | 40k | 9 repos | ~781 | Automated safety check: Pass | MIT |
Similar skills
- Official
Data Pipeline
agulli/atlas-agents
Design, build, or debug data processing pipelines. An agent skill from agulli/atlas-agents.
Authoritative Data Harvester
yushui2022/MathModel-Skill
Finds authoritative public data sources for modeling tasks, prefers official APIs and bulk downloads, and outputs a reproducible fetch and cleaning plan with citations.
Data Quality Frameworks
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Sets up data quality checks with Great Expectations, dbt tests and data contracts, with checkpoints and pass-fail reports for pipelines.
Dbt Transformation Patterns
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Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies.
Data Quality Audit
nimrodfisher/data-analytics-skills
Comprehensive data quality assessment against business rules, schema constraints, and freshness expectations.
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Categories
Questions about Data Quality Checker
What does Data Quality Checker do?
Validate data quality checker operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Data Quality Checker is an agent skill from jeremylongshore/tons-of-skills-marketplace. Validate data quality checker operations.
When should I use Data Quality Checker?
Data Quality Checker fits situations like: : data quality checker; data quality checker Part of the Data Pipelines skill category; working with data quality checker functionality; with phrases like data quality checker.
How do I install Data Quality Checker in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a claude-code`. Or copy the skill folder (skills/11-data-pipelines/data-quality-checker in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/data-quality-checker in your project. Claude Code loads it when a task matches its description.
How do I install Data Quality Checker in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a codex`. Or copy the skill folder (skills/11-data-pipelines/data-quality-checker in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/data-quality-checker in your project. Codex loads it when a task matches its description.
Can I use Data Quality Checker in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill data-quality-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-quality-checker, .gemini/skills/data-quality-checker, .github/skills/data-quality-checker and .opencode/skills/data-quality-checker in your project.
What does Data Quality Checker need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Quality Checker is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
Does Data Quality Checker access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Data Quality Checker safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Data Quality Checker use?
Data Quality Checker is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Data Quality Checker use?
About 566 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Data Quality Checker?
Skills that share tags, products or a category with Data Quality Checker: Credit Risk Data Cleaning (github/awesome-copilot, 40k stars), Data Pipeline (agulli/atlas-agents, 579 stars), Authoritative Data Harvester (yushui2022/MathModel-Skill, 454 stars) and Data Quality Frameworks (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Quality Checker?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.