qa
Deterministic quality-assurance audit of pipeline artifacts.
Skill by Divyapandey-ui
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/divyapandey-ui-qa
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, testing, data, security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/qa
What's inside
- Skill name
qa- Description
- Deterministic quality-assurance audit of pipeline artifacts. Verifies schema conformance, data invariants, leakage, reproducibility, evidence resolution, and PII before the report ships.
- License
- unknown
- Instructions
- 42 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- __init__.py
- qa.py
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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visualization
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Render charts that satisfy rules/output_formatting.md::O4.
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auto_visualize
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Decide and render a chart battery for any tabular dataset.
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dataset_merger
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Marry multiple uploaded files into one canonical dataset.
SkillCFreshness: CClaude Code +9 - 0.463score
self_critique
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Agent reviews its own draft output against rules + evidence before the report is rendered.
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ml_modeling
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Train, evaluate, and explain ML models — task auto-detected (classification/regression/clustering).
SkillCFreshness: CClaude Code +9 - 0.460score
statistical_analysis
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Hypothesis tests, regression, time-series decomposition.
SkillCFreshness: CClaude Code +9 - 0.460score
data_cleaning
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Apply config-driven cleaning operations (missing values, outliers, dedup, type coercion).
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data_ingestion
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Load tabular data from any registered connector into a typed DataFrame.
SkillCFreshness: CClaude Code +9 - 0.460score
data_profiling
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Compute schema, descriptive stats, missingness, cardinality, and quality flags for any DataFrame.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 11, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Divyapandey-ui
- 0.464score
reporting
Divyapandey-ui
Render insights + evidence into a stakeholder-ready report (markdown / PDF / slides).
SkillCFreshness: CClaude Code +9 - 0.464score
eda
Divyapandey-ui
Univariate, bivariate, and grouped exploratory analysis on a cleaned DataFrame.
SkillCFreshness: CClaude Code +9 - 0.464score
visualization
Divyapandey-ui
Render charts that satisfy rules/output_formatting.md::O4.
SkillCFreshness: CClaude Code +9 - 0.463score
auto_visualize
Divyapandey-ui
Decide and render a chart battery for any tabular dataset.
SkillCFreshness: CClaude Code +9 - 0.463score
dataset_merger
Divyapandey-ui
Marry multiple uploaded files into one canonical dataset.
SkillCFreshness: CClaude Code +9 - 0.463score
self_critique
Divyapandey-ui
Agent reviews its own draft output against rules + evidence before the report is rendered.
SkillCFreshness: CClaude Code +9
Cite this page
qa skill. Agent Mart. https://agentmart.dev/skills/divyapandey-ui-qa (last updated 2026-10-24)