Forked clean from public hackathon repo (Starfire-AgentTeam, BSL 1.1) with full rebrand to Molecule AI under github.com/Molecule-AI/molecule-monorepo. Brand: Starfire → Molecule AI. Slug: starfire / agent-molecule → molecule. Env vars: STARFIRE_* → MOLECULE_*. Go module: github.com/agent-molecule/platform → github.com/Molecule-AI/molecule-monorepo/platform. Python packages: starfire_plugin → molecule_plugin, starfire_agent → molecule_agent. DB: agentmolecule → molecule. History truncated; see public repo for prior commits and contributor attribution. Verified green: go test -race ./... (platform), pytest (workspace-template 1129 + sdk 132), vitest (canvas 352), build (mcp). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Academic Test: Systematic Debugging Skill
You have access to the systematic debugging skill at skills/debugging/systematic-debugging
Read the skill and answer these questions based SOLELY on what the skill says:
- What are the four phases of systematic debugging?
- What must you do BEFORE attempting any fix?
- In Phase 3, what should you do if your first hypothesis doesn't work?
- What does the skill say about fixing multiple things at once?
- What should you do if you don't fully understand the issue?
- Is it ever acceptable to skip the process for simple bugs?
Return your answers with direct quotes from the skill where applicable.