dpla-orchestrator

dpla-orchestrator is a Data pipelines & ETL skill for AI agents, published by dpla in the ingestion3 repository on GitHub. Skillspace rates dpla-orchestrator D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Run or monitor the DPLA Python ingest orchestrator. Use when the user says run orchestrator, parallel ingest, ingest status, run hubs, orchestrator dry-run, or retry failed hubs. Covers venv, main entry point, status script, and logs.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
34

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubdpla/ingestion3

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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