docs: worklog for ADR revision, LSP research, code audit session
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#+TITLE: ADR Revisions, LSP Integration Research, and Code Health Audit
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#+DATE: 2025-12-24
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#+KEYWORDS: ADR, orch-consensus, LSP, code-audit, beads, skills-molecules, refactoring
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#+COMMITS: 6
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#+COMPRESSION_STATUS: uncompressed
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* Session Summary
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** Date: 2025-12-24 (Late night session)
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** Focus Area: Skills+Molecules ADR refinement, Claude Code LSP integration research, codebase health audit
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* Accomplishments
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- [X] Revised ADR-002 (Skill Manifest Format) based on orch consensus feedback
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- [X] Revised ADR-003 (Skill Versioning Strategy) with Nix store paths, lockfiles, interface contracts
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- [X] Revised ADR-004 (Trace Security and Redaction) with HMAC redaction, entropy detection
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- [X] Updated orch skill to match CLI v0.1.0 (new model aliases, features)
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- [X] Researched Claude Code LSP integration via orch web search (sonar, flash-or, glm)
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- [X] Brainstormed LSP use cases via orch consensus (gpt, qwen, gemini, serial, temp 1.4)
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- [X] Created 9 beads issues for LSP integration ideas
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- [X] Conducted comprehensive code health audit of skills repo
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- [X] Filed 11 beads issues from code health findings
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- [X] Parked skills-hin (ADR finalization) pending Steve Yegge's orchestration work
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- [ ] Remote git server unavailable - commits pending push
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* Key Decisions
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** Decision 1: Use HMAC-based redaction instead of plain [REDACTED]
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- Context: Traces need to redact sensitive data but allow correlation
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- Options considered:
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1. Plain [REDACTED] - simple but loses all information
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2. HMAC hash prefix - enables correlation without revealing values
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- Rationale: HMAC allows detecting if same secret used across executions
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- Impact: ADR-004 now specifies [REDACTED:hmac:abc123] format
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** Decision 2: Nix store path as primary version identity
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- Context: Skills deployed via Nix need reproducible version tracking
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- Options considered:
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1. Git SHA only - may not exist for local changes
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2. Content hash only - portable but requires computation
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3. Nix store path - immutable, content-addressed by Nix itself
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- Rationale: Nix already solves content addressing; use it when available
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- Impact: ADR-003 now uses nix_store_path as primary identity for Nix-deployed skills
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** Decision 3: Park skills+molecules ADR work
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- Context: Steve Yegge working on new AI orchestration approach
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- Rationale: Wait to see if his approach informs our design before finalizing
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- Impact: skills-hin moved to open status with note about deferral
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** Decision 4: File all code health findings as beads issues
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- Context: Code audit revealed significant technical debt
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- Rationale: Track systematically rather than try to fix immediately
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- Impact: 11 new issues filed covering refactoring, testing, dead code
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* Problems & Solutions
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| Problem | Solution | Learning |
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|---------+----------+----------|
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| Orch skill out of sync with CLI | Read models_registry.py and README, rewrote SKILL.md | Skills deployed via Nix need source in skills/*/SKILL.md |
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| Skill file is in Nix store (read-only) | Found source at /home/dan/proj/skills/skills/orch/SKILL.md | home-manager deploys from skills repo, not direct edit |
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| Remote git server unavailable | Local commits preserved, bd sync exports to JSONL | Beads resilient to network issues |
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| Qwen model errors in orch consensus | Used GPT and Gemini instead, still got good coverage | Have fallback models ready |
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* Technical Details
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** Code Changes
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- Total files modified: 8
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- Key files changed:
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- ~docs/adr/002-skill-manifest-format.md~ - Added JSON Schema, path bases, timeout
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- ~docs/adr/003-skill-versioning-strategy.md~ - Nix store paths, lockfiles, .skillignore
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- ~docs/adr/004-trace-security-redaction.md~ - HMAC redaction, entropy detection, trace modes
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- ~skills/orch/SKILL.md~ - Updated model aliases, new features documented
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- New files created: None (all edits to existing)
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- Lines: +1591 / -38
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** Commands Used
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#+begin_src bash
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# Orch consensus with web search
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cd ~/proj/orch && uv run orch consensus "Claude Code LSP integration..." sonar flash-or glm --mode open
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# Orch brainstorm with high temperature
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uv run orch consensus "..." gpt qwen gemini --serial --temperature 1.4 --mode brainstorm
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# Check orch model registry
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uv run orch models
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# Beads batch operations
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bd close skills-oes skills-8y6 skills-be3 --reason="ADRs revised"
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bd dep add skills-le9 skills-gga # Add dependency
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#+end_src
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** Architecture Notes
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- Skills deployed via Nix/home-manager from skills repo source
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- Dotfiles flake imports skills as input, runs deploy.sh
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- LSP integration requires ENABLE_LSP_TOOL=1 env var
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- LSP skills blocked by skills-gga (configure LSP first)
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* Process and Workflow
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** What Worked Well
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- Orch consensus for ADR review - got actionable feedback from multiple models
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- Serial mode with high temp (1.4) produced creative brainstorming
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- Human-in-the-loop ADR revision - presented changes, got approval, wrote
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- Parallel beads issue creation - efficient batch filing
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- Code health audit via Explore agent - comprehensive without manual grep
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** What Was Challenging
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- Remote git server down all session - couldn't push
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- Plan mode accidentally activated during skill update
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- SQLite database temporarily closed during batch issue creation (2 retries)
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- Finding skill source location (Nix store symlinks)
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* Learning and Insights
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** Technical Insights
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- Claude Code LSP uses standard language servers (gopls, pyright, rust-analyzer)
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- LSP provides: go-to-definition, find-references, hover, diagnostics
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- Can use LSP as "ground truth" to validate model suggestions before applying
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- HMAC redaction allows correlation without revealing secrets
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** Process Insights
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- Orch consensus with 3+ models provides good coverage of perspectives
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- Serial mode with debate/refine strategies could improve synthesis
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- --synthesize flag useful for aggregating multi-model responses
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- Temperature 1.4 too high for some models (qwen clamped to 1.0)
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** Architectural Insights
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- Skills repo is source of truth, dotfiles deploys via Nix
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- LSP could be foundation for many skill improvements (semantic-grep, rename, etc.)
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- Code health issues reveal .specify scripts need most attention
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- Test coverage is zero - significant gap for critical bash scripts
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* Context for Future Work
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** Open Questions
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- What is Steve Yegge building for AI orchestration?
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- Should LSP be always-on or on-demand in Claude Code?
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- How to handle skills that span multiple molecule steps?
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- Minimum executions before suggesting elevation to skill?
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** Next Steps
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- Push commits when remote available
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- Configure Claude Code LSP (skills-gga) to unblock 6 downstream issues
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- Consider tackling update-agent-context.sh refactoring (skills-p2o, skills-vjm)
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- Research Steve Yegge's work before finalizing ADRs
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** Related Work
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- ADRs: docs/adr/001-004
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- Previous worklog: 2025-12-17-wayland-desktop-automation-seeing-problem.org
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- Orch repo: ~/proj/orch (recently updated with centralized model registry)
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- Beads molecule commands: bd mol, bd wisp, bd pour (beads 0.35+)
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* Raw Notes
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- Orch model aliases changed: gpt now gpt-5.2, opus now claude-opus-4.5
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- New orch features: --synthesize, stdin piping, orch models, orch sessions
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- LSP brainstorm produced 32 ideas across 3 models
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- Best ideas: semantic-grep, Nix-LSP autopoiesis (rejected), bead-driven development
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- Code audit found 772-line update-agent-context.sh as worst offender
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- 12 nearly-identical if-blocks should be array+loop
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Session ran late night into early morning (past 2am).
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* Session Metrics
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- Commits made: 6 (3 today by metrics, but 6 total ahead of origin)
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- Files touched: 8
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- Lines added/removed: +1591/-38
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- Tests added: 0
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- Tests passing: N/A (no test suite exists)
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- Beads issues created: ~20 (LSP + code health)
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- Beads issues closed: 4 (ADR design issues)
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