Python

DE//AGENT currently lists 5 resources under Python: 3 skills, 2 projects. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Documented learning objectives across these resources:

• Read a tool schema and predict its side effects — via MCP Tool Contract Auditor
• Classify tools by blast radius — via MCP Tool Contract Auditor
• Write a least-privilege MCP configuration — via MCP Tool Contract Auditor
• Express a quality contract as executable checks — via Pipeline → DQ → quarantine → publish
• Design a quarantine table with a reason — via Pipeline → DQ → quarantine → publish
• Alert on the quarantine rate, not just on failure — via Pipeline → DQ → quarantine → publish
• Test a transform without a Spark cluster — via Pipeline Test Author
• Assert invariants instead of golden files — via Pipeline Test Author

7 more objectives live on the individual resource pages.

These resources map to stages: Reliability (2), Agentic Data Engineering (1), Data Processing (1), Data Quality (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. MCP Tool Contract Auditor score 40.5 — advanced
2. Pipeline → DQ → quarantine → publish score 38.65 — intermediate
3. Pipeline Test Author score 38 — intermediate

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Reach for these with production experience: MCP Tool Contract Auditor.

Security-flagged entries: MCP Tool Contract Auditor (1 flag), Pipeline → DQ → quarantine → publish (2 flags), Pipeline Test Author (2 flags), PII Classifier (3 flags), API → S3 → Spark → Parquet (5 flags). Flags mean the record declares capabilities like credential use or write access — read the security posture on each page before connecting.

• MCP Tool Contract Auditor — Inspects an MCP server's tool list and schemas, flags tools that can write, delete, spend money or exfiltrate data, and produces a least-privilege connection recommendation. details
• Pipeline → DQ → quarantine → publish — Put a contract in front of a table: validate each batch, publish the clean rows, quarantine the rest with reasons, and alert on the quarantine rate. details
• Pipeline Test Author — Builds a local DuckDB/pyarrow harness with tiny fixtures so pipeline logic is testable in CI without a cluster, and asserts on invariants, not snapshots. details
• PII Classifier — Scans column names and sample values for PII categories, then proposes classification tags and a masking/pseudonymisation policy. details

Real install commands from the registry — read the source before running any of them:

npx de-agent-platform add mcp-tool-contract-auditor

MCP Tool Contract Auditor — review first

npx de-agent-platform add pipeline-test-author

Pipeline Test Author — review first

npx de-agent-platform add pii-classifier

PII Classifier — review first

Official source: Python (license: PSF-2.0) — start there for the canonical documentation, then come back for the vetted registry entries.

Adjacent topics: Apache Parquet (3 shared), DuckDB (2 shared), Apache Spark (2 shared), security (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.