digdag
digdag is a Data pipelines & ETL skill for AI agents, published by treasure-data in the td-skills repository on GitHub. Skillspace rates digdag D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Write .dig workflow files for Treasure Workflow. Covers creating new workflows (create_workflow MCP tool), importing existing workflows (register_workflow), digdag YAML syntax, td> operator, built-in variables, _parallel/_retry/_error directives, and TD platform constraints. Use when creating, editing, or deploying TD workflows. Also trigger on mentions of digdag, .dig files, td> operator, workflow scheduling, or any request to build a new data ETL pipeline on Treasure Data. For workflows with LLM processing or Slack/email notification, see the llm-workflow skill.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 20
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.
Our review
- Architecture
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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