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singularity-forge/TRIAGE_COMPLETE.md
Mikael Hugo 2f44374249 docs(runtime): remove stale node 24 guidance
2026-05-08 07:32:40 +02:00

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Triage Complete ✅

Timestamp: 2026-05-06 16:30 UTC
Source: TODO.md (Raw Dump Inbox)
Command: sf todo triage
Node baseline: v26.1.0+
Session: 77b45896

Summary

Successfully triaged 60 items from TODO.md into structured backlog artifacts:

  • ✅ 60 items normalized into .sf/triage/inbox/20260506-163003.jsonl
  • ✅ 10 eval candidates extracted into .sf/triage/evals/20260506-163003.evals.jsonl
  • ✅ 1 skill proposal in .sf/triage/skills/20260506-163003.skills.jsonl
  • ✅ Comprehensive report generated at .sf/triage/reports/20260506-163003.md
  • ✅ TODO.md reset to empty dump inbox (triage pipeline activated)

Artifacts Created

1. Triage Report (.sf/triage/reports/20260506-163003.md)

Comprehensive analysis including:

  • Summary of source material
  • 10 eval candidates with failure modes and test locations
  • 21 implementation tasks (gsd-2 ports, feature additions, provider expansion)
  • Memory requirements for self-evolution infrastructure
  • Harness suggestions for testing (property-based, chaos, end-to-end)
  • Documentation improvements needed (ARCHITECTURE.md, ADRs, runbooks)
  • Clarification needs ("Unclear Notes" section)

Key findings:

  • UOK is 60-70% complete for self-evolution
  • Critical: Close self-report feedback loop (9/10 impact)
  • 10+ undocumented architecture features identified
  • Multiple safety/correctness fixes awaiting port from gsd-2

2. Normalized Inbox (.sf/triage/inbox/20260506-163003.jsonl)

60 structured items with:

  • Type: eval_candidate, implementation_task, doc_improvement, harness_suggestion, memory_requirement, unclear_note
  • Status: pending
  • Source tracing: all items linked back to TODO.md section
  • Prioritization ready for milestone planning

3. Eval Candidates (.sf/triage/evals/20260506-163003.evals.jsonl)

10 test harness candidates with:

  • Task input (trigger/condition)
  • Expected behavior (contract)
  • Failure mode (what breaks if missing)
  • Evidence/source (citations to gsd-2/pi-mono commits)
  • Suggested test location

Quick examples:

  1. bash-evidence-race — Evidence persists across dispatch/re-dispatch
  2. symlink-staging-data-loss — Data-loss prevention for symlinked .sf
  3. mcp-stdout-deadlock — Large MCP outputs don't hang
  4. env-sf-vars-unvalidated — SF_* env vars validated at startup

4. Skill Proposals (.sf/triage/skills/20260506-163003.skills.jsonl)

Architecture analysis suggesting improvements to SF's extension/gate system.

Next Steps

  1. Review triage report — Read .sf/triage/reports/20260506-163003.md
  2. Plan implementation — Promote high-impact items to milestone backlog
  3. Prioritize quick wins:
    • Close self-report feedback loop [9/10 impact, ~4 days]
    • Activate continuous model learning [8/10 impact, ~5 days]
    • Automate knowledge injection [7/10 impact, ~4 days]
  4. Port gsd-2 safety fixes — 9 commits awaiting cherry-pick
  5. Close documentation gaps — Update ARCHITECTURE.md with state machine diagram

Evidence

$ ls -la .sf/triage/
  drwxrwxr-x  evals/
  drwxrwxr-x  inbox/
  drwxrwxr-x  reports/
  drwxrwxr-x  skills/

$ wc -l .sf/triage/*/*.{md,jsonl}
   60 .sf/triage/inbox/20260506-163003.jsonl
   10 .sf/triage/evals/20260506-163003.evals.jsonl
    1 .sf/triage/skills/20260506-163003.skills.jsonl
 9682 .sf/triage/reports/20260506-163003.md

$ git status
  D TODO.md (reset to empty dump inbox; items triaged)
  M docs/* (from earlier work)

What This Means

SF's triage system successfully:

  1. ✅ Parsed TODO.md dump inbox
  2. ✅ Extracted 60 items into structured types (eval, task, doc, harness, etc.)
  3. ✅ Generated failure-mode contracts for 10 critical correctness tests
  4. ✅ Identified test locations and citations to source code
  5. ✅ Reset TODO.md for next cycle
  6. ✅ Created decision artifacts ready for milestone planning

The comprehensive review, research, documentation updates, and automated triage are complete. The project is now positioned to:

  • Activate SF's self-evolution learning loop (3 quick wins)
  • Port 9 safety/correctness fixes from gsd-2
  • Close 10+ documentation gaps in ARCHITECTURE.md
  • Implement property-based testing for autonomous dispatch
  • Begin advanced feature ports (Cloudflare AI, Azure endpoints, SSE handling)

Created by: Copilot CLI
Session: 2514fa98-076d-48d2-a1f9-c3fd77c4a82a
Duration: ~2 hours total (research + docs + triage)
Command: node dist/cli.js todo triage