The GitHub Actions job "Tests (AMD)" on airflow.git/aip99-example-aiptracker 
has failed.
Run started by GitHub user vikramkoka (triggered by vikramkoka).

Head commit for run:
d304e9b8c06fcd7b644e34f6f58708e589a03b29 / Vikram Koka <[email protected]>
Add skills-based AIP tracker DAG alongside the pipeline version

Same file now contains two DAGs that solve the same use case -- tracking
AIP implementation progress -- with different architectures:

1. example_aip_progress_tracker (pipeline): 12-task deterministic pipeline
   with per-AIP LLM analysis, structured Pydantic output, AI validation,
   and arithmetic correction. More accurate, more auditable, fewer tokens
   (~66K total), but more complex.

2. example_aip_progress_tracker_skills (agent): Single AgentOperator with
   the aip-tracker skill loaded via AgentSkillsToolset plus custom tool
   functions for Confluence/GitHub APIs. Simpler DAG (2 tasks), but less
   control over output discipline (~82K tokens, coarser granularity).

The aip-tracker SKILL.md bundle teaches the agent the same grounding
rules the pipeline enforces structurally: spec-level deliverable
granularity, fraction-only progress format, evidence-backed assessments,
and a mandatory self-verification checklist.

Also strengthens the pipeline DAG's arithmetic validation to cross-check
per-AIP fractions and summary totals against structured analysis data.

Report URL: https://github.com/apache/airflow/actions/runs/26984403419

With regards,
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