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v3.5.0 - Dogfood validation and source checkpoints

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@MJWNA MJWNA released this 29 Apr 22:05
· 13 commits to main since this release
v3.5.0
d4dee30

Summary

  • Added the live dogfood evaluator and five sandbox plan fixtures for small, medium, large, expanded-mode, and continuous-discovery planning.
  • Added source material checkpoint guidance covering kickoff, planning, issue creation, implementation, delegation, scope changes, verification, handoff, and closeout.
  • Extended fake Linear graph apply/read-back behavior so dogfood tests validate issue descriptions, milestones, links, and agent-ready issue quality.
  • Updated version metadata, changelog, and publisher release manifest for v3.5.0.

Verification

  • python3 tools/linear-dogfood-evaluator.py: DOGFOOD_SCORE 110/110
  • bash tests/test-linear-agent.sh: passed
  • python3 -m unittest tests/test_linear_agent_graphql.py tests/test_linear_agent_graph_features.py: 20 tests passed
  • python3 tools/linear-agent-evaluator.py: SCORE 130/130
  • python3 tools/linear-front-door-evaluator.py: SCORE 235/235
  • python3 tools/linear-skill-audit-evaluator.py: ALL_VERTICALS 10/10
  • README completeness: 100/100
  • install health check: passed
  • PR #20 checks: CodeQL, analyze, and test passed

Compare: v3.4.0...v3.5.0

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