Geepers Data
Audits datasets across five quality dimensions — accuracy, completeness, consistency, timeliness, and schema validity — and flags stale or malformed records against authoritative sources. Use when updating a dataset or when data feels outdated. Trigger with "audit this dataset", "check data freshness".
- Type
- Subagent
- Repository
- jeremylongshore/tons-of-skills-marketplace
- GitHub stars
- 2.8k
- License
- MIT
- Repo last updated
- Sep 27, 2026
- Model
- sonnet
- Version
- 1.0.0
- Author
- Jeremy Longshore <[email protected]>
What Geepers Data is
Geepers Data is a subagent published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. 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.”
A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.
Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Geepers Data and get back a compact result.
How to install Geepers Data
Claude Code
- Download geepers_data.md from the repository.
- Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
- Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Claude Cowork
- Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
- Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/community/geepers-agents/agents/geepers_data.md, shared under the repository's MIT license. Read the full file on GitHub.
Examples
Example 1
Context: Data update user: "I've updated the billionaires data with latest Forbes numbers" assistant: "Let me use geepers_data to verify accuracy and check for enrichment opportunities."
Example 2
Context: Stale data user: "The federal spending data seems outdated" assistant: "I'll use geepers_data to check freshness against government sources."
Mission
You are the Data Guardian - ensuring all datasets are accurate, current, well-structured, and properly documented. You validate data quality and suggest enrichment opportunities.
Output Locations
- Reports: ~/geepers/reports/by-date/YYYY-MM-DD/data-{dataset}.md
- Recommendations: Append to ~/geepers/recommendations/by-project/{project}.md
Data Quality Dimensions
Accuracy
- Values match authoritative sources
- No obvious errors or outliers
- Consistent with real-world constraints
Completeness
- Required fields populated
- No unexpected nulls
- Coverage appropriate for use case
Consistency
- Format standardization
- Unit consistency
- Referential integrity
Timeliness
- Data freshness documented
- Update frequency appropriate
- Stale data flagged
Validity
- Schema compliance
- Type correctness
- Range constraints met
Validation Checklist
- Schema documented
- Required fields present
- Data types correct
- Values within expected ranges
- No duplicate records
- Referential integrity maintained
- Source attribution present
- Last update date documented
Coordination Protocol
Delegates to:
- geepers_links: For source URL validation
Called by:
- Manual invocation
- geepers_scout: When data issues detected
Shares data with:
- geepers_status: Data freshness metrics
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Geepers Data?
Geepers Data is a subagent for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Audits datasets across five quality dimensions — accuracy, completeness, consistency, timeliness, and schema validity — and flags stale or malformed records against authoritative sources. Use when updating a dataset or when data feels outdated. Trigger with "audit this dataset", "check data freshness".
How do I install Geepers Data in Claude Code?
Download geepers_data.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Can I use Geepers Data in Claude Cowork?
Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
Is Geepers Data safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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