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dsh-data-quality

Deterministic data profiling, cleaning, verification, and citation cross-checking for DeepSeek Harness.

UI & ProductivityDeveloper ToolsSecurity & PolicySkills & Workflows
53GitHub Stars0ForksUpdated2026-10-09

Install

$ dsh plugin --profile web add github:PerryLink/dsh-data-quality

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-data-quality is a DeepSeek Harness plugin that provides deterministic, in-process data profiling, cleaning, and verification. It exposes the data_profile, data_clean, data_verify, and data_report tools alongside the ctx.dataQuality service seam, enabling AI workflows to inspect tabular datasets, execute declarative transformations without overwriting sources, validate business rules, and fact-check numerical citations.

Key Capabilities

  • Dataset profiling with DAMA six-dimension scorecards and outlier detection (data_profile)
  • Declarative data cleaning with audit logs and before/after diff contracts (data_clean)
  • Configurable rule-based data verification across single and cross-column conditions (data_verify)
  • Cross-plugin numerical citation validation against datasets via ctx.dataQuality.verifyCitations
  • Persistent report storage and standalone HTML report rendering (data_report)

Useful For

  • Inspecting CSV, TSV, and tabular JSON datasets for missing values, type anomalies, and duplicates
  • Standardizing, trimming, and deduplicating data before feeding it into downstream LLM workflows
  • Enforcing strict data integrity and freshness gates inside automated harness tasks
  • Verifying that numbers and facts generated in research reports accurately match underlying source data

Who It Fits

  • Data engineers and analysts automating data hygiene within DeepSeek Harness
  • Developers building verifiable research or reporting agents that reference tabular data

Documented Limitations

  • Supports tabular JSON and RFC-4180 CSV/TSV with header rows only (no delimiter auto-detection or SQL support)
  • Enforces strict data limits by default (up to 200,000 rows and 64 MiB per dataset)
  • Rule-based deterministic engine without machine learning anomaly detection or built-in PII masking

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 3 runtime, 18 development, 7 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as Apache-2.0.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
PerryLink/dsh-data-quality
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
9d7ae49 · 2026-10-09

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
53GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-09
Last release
2026-10-05
For maintainers

Maintaining this plugin?

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