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v1.10.0 — Layered Skill Architecture (84% token reduction)

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@ratingtesting ratingtesting released this 31 Aug 09:25
· 13 commits to master since this release
v1.10.0
e220615

keelwright v1.10.0 — Layered Skill (ADR-001)

Real implementation of F46 (layered architecture). Replaces the cosmetic line-trim
of v1.8.1 with a real ~84% token reduction for agent contexts.

What changed

  • SKILL.md is now a thin index (~221 lines, ~2.7K tokens; was ~17K tokens).
    Contains critical safety rules (R1–R12, autonomy dial, circuit-breaker caps) + a Map
    table for on-demand loading of references/*.md.
  • scripts/build_skill.py: reassembles the index + all references/*.md into
    a single full document for public registry display (skills.sh / ClawHub / askill.sh).
    Supports --check for CI idempotency.
  • docs/ADR-001-layered-skill.md: formal Architecture Decision Record explaining
    the index/reference split, token budget, and publish workflow.
  • README.md & GitHub Repo Description: Architecture section added on the first page.

Token Savings

  • Agent context on session start: ~2,700 tokens (was ~17,300).
  • Reduction: 84% less token overhead on every turn across Hermes, Cursor, Codex,
    Cline, and OpenClaw.

Verification

  • python scripts/build_skill.py --check PASS (idempotent assembly)
  • python scripts/runtime_integration_tester.py --skill-dir . PASS (5/5 canonical cases)
  • python tests/fuzz/test_web_heuristic.py PASS (42/50 fuzz cases)
  • All .py scripts pass py_compile.
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