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AI readiness toolkit

v1.19.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Updates Other Changes, assess, and ci across a mixed release.

Changes in this release

Feature Medium

Adds /ghsync skill for org-wide repo clone and sync

Adds /ghsync skill for org-wide repo clone and sync

Source: llm_adapter@2026-05-31

Confidence: high

Feature Medium

Adds secret scanning of instruction files and grades AGENTS.md as alias in assess module

Adds secret scanning of instruction files and grades AGENTS.md as alias in assess module

Source: llm_adapter@2026-05-31

Confidence: high

Feature Medium

Adds accuracy reporting, per‑function complexity metrics, and layer guidance to assess module

Adds accuracy reporting, per‑function complexity metrics, and layer guidance to assess module

Source: llm_adapter@2026-05-31

Confidence: high

Dependency Low

Adds ruff complexity gate and mypy type checking to CI pipeline

Adds ruff complexity gate and mypy type checking to CI pipeline

Source: llm_adapter@2026-05-31

Confidence: high

Dependency Low

Adds automated Claude PR review with repo‑specific guidelines to CI pipeline

Adds automated Claude PR review with repo‑specific guidelines to CI pipeline

Source: llm_adapter@2026-05-31

Confidence: high

Bugfix Medium

Excludes test fixtures from doc graph and liveness scans in assess module

Excludes test fixtures from doc graph and liveness scans in assess module

Source: llm_adapter@2026-05-31

Confidence: high

Refactor Low

Refactors assess test_pressure function and sharpens two cheap heuristics

Refactors assess test_pressure function and sharpens two cheap heuristics

Source: llm_adapter@2026-05-31

Confidence: high

Full changelog

What's Changed

Features

  • feat(assess): scan instruction files for secrets and grade AGENTS.md as an alias by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/89
  • feat(assess): report accuracy + per-function complexity + layer guidance (#58 #59 #60 #62) by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/91
  • feat: add /ghsync skill for org-wide repo clone and sync by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/99

Fixes

  • fix(assess): exclude test fixtures from doc graph and liveness scans by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/88

Documentation

  • docs: showcase before/after /assess SVG comparison in README by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/87

Other Changes

  • refactor(assess): decompose test_pressure and sharpen two cheap heuristics by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/90
  • ci: add ruff complexity gate and mypy type checking by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/92
  • chore: add Marathon Configuration to CLAUDE.md and harden lint-job checkout by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/93
  • ci: add automated Claude PR review with repo-specific guidelines by @bjcoombs in https://github.com/bjcoombs/ai-native-toolkit/pull/94

Full Changelog: https://github.com/bjcoombs/ai-native-toolkit/compare/v1.16.0...v1.19.0

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