aip-tracker

aip-tracker is an Engineering planning & specs skill for AI agents, published by apache in the airflow repository on GitHub. Skillspace rates aip-tracker C (74/100) and it passed the safety scan; a judge model has also reviewed it.

Track Airflow Improvement Proposal (AIP) implementation progress by comparing Confluence specs against codebase evidence. Use when asked to assess, report on, or compare AIP status.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
46,130

Placed #1 of 6 in the judged category final for Engineering planning & specs.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

View source on GitHubapache/airflow

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 1 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Tracks Airflow's own AIPs against the Airflow codebase

Judge review

Placed #1 of 6 in the judged category final for Engineering planning & specs.

  • Trigger8080
  • Instructions9292
  • Specificity9595
  • Safety9292
  • Disclosure6565
  • Maintenance8585
Explicit anti-fabrication rules, a fixed fraction-only output format, and a mandatory self-verification pass make this the most rigorous skill here, but it stays one long file with no reference-file split.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Engineering planning & specs

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