3 Commits

Include renames

Author	SHA1	Message	Date
[email protected]andClaude Opus 4.6	4d643f47c7	refactor: remove glob re-exports, fix clippy warnings, clean up duplicates ... - Remove `pub use ironclaw_safety::*` from src/safety/mod.rs and migrate all 20+ call sites to import directly from `ironclaw_safety` - Remove `pub use ironclaw_skills::*` from src/skills/mod.rs and migrate all 15+ call sites to import directly from `ironclaw_skills` - Fix 4 clippy warnings: 2 shadow imports, 2 collapsible if-let chains - Add missing SkillActivated arm to WASM channel StatusUpdate match - Remove duplicate AuthRequired/AuthCompleted arms in repl.rs - Update CLAUDE.md extracted crates guidance and prompt template rule - Fix bench imports (safety_check, safety_pipeline) 46 files changed, zero warnings, 3836 tests passing. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>	2026-03-27 23:51:24 -07:00
[email protected]andClaude Opus 4.6	7f87d1799e	refactor(engine): move skill selection and injection to Python orchestrator ... Skill selection was in Rust (SkillSelector in loop_engine.rs) — now it's in the Python orchestrator where the self-improvement mission can evolve it. Rust provides data access via two new host functions: - __list_skills__() — loads DocType::Skill MemoryDocs from Store - __record_skill_usage__(doc_id, success) — confidence tracking Python orchestrator handles everything else: - score_skill() — keyword/tag/confidence scoring (~40 lines) - select_skills() — budget-aware top-N selection (~15 lines) - format_skills() — XML block injection into system prompt (~20 lines) - Injection at step 0 with active_skill_ids stored in state Removed from Rust: - SkillSelector field + builder on ExecutionLoop and ThreadManager - format_skills_section() from prompt.rs - Rust-side skill injection block in loop_engine.rs - SkillSelector wiring in bridge/router.rs E2E test updated: skills stored in TestStore, Python orchestrator finds them via __list_skills__() and injects based on goal keywords. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>	2026-03-27 19:58:27 -07:00
[email protected]andClaude Opus 4.6	8e2349d12e	feat(skills): extract ironclaw_skills crate and integrate with v2 engine ... Extract the skills system into a standalone `ironclaw_skills` crate (following the ironclaw_safety pattern) and wire it into the v2 engine for deterministic skill selection, CodeAct code injection, and confidence tracking. **ironclaw_skills crate** (94 tests): - Core types: SkillManifest, ActivationCriteria, LoadedSkill, SkillTrust - V2 types: V2SkillMetadata, CodeSnippet, SkillMetrics, V2SkillSource - Deterministic 4-phase selector (gating→scoring→budget→attenuation) - apply_confidence_factor() for extracted skill scoring - SKILL.md parser, validation/escaping, gating, registry, catalog - Feature-gated: catalog (reqwest), registry (filesystem) **Engine integration** (14 new tests): - DocType::Skill with retrieval weight 0.45 - SkillSelector bridges MemoryDoc→LoadedSkill for shared scoring - SkillTracker for usage/version/rollback confidence tracking - System prompt injection via <skill> XML blocks - CodeAct snippet injection via Monty NameLookup - Skill extraction mission replaces playbook extraction - ThreadManager.set_skill_selector() for runtime wiring **Bridge + migration**: - skill_migration.rs: v1 SKILL.md → v2 MemoryDoc (idempotent) - init_engine() migrates v1 skills, builds SkillSelector - src/skills/mod.rs → re-export shim **E2E test** (tests/engine_v2_skill_codeact.rs): - Full CodeAct loop: skill selected → LLM returns Python code → Monty executes http() → mock returns canned GitHub JSON → FINAL() terminates → thread completes with canned data - GitHub SKILL.md in skills/github/ as reference implementation Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>	2026-03-27 16:24:07 -07:00