SKILL.md
Diagnosing Bugs
Skip phases only when explicitly justified. Read CONTEXT.md and local ADRs for module context.
Phase 0 — Code graph query (optional, if available)
If graphify-out/graph.json exists, briefly tell the user "查询代码图谱了解影响范围" then query the code graph before starting diagnosis:
/code-graph query impact <suspected-file>— find all modules affected by the suspected code area/code-graph query deps <suspected-module>— understand what the suspected module depends on/code-graph query hotspot— check if the bug area is also a known hotspot (high coupling + frequent changes)
Use these results to narrow the hypothesis space in Phase 3. If no graph exists, skip silently.
Phase 1 — Build a tight feedback loop
This is the skill. A tight pass/fail signal that goes red on this bug beats staring at code.
Try in order: failing test → curl/script → CLI fixture → headless browser → replay trace → throwaway harness → fuzz → bisect harness → differential old/new → HITL script.
Then tighten: faster, sharper assertion, more deterministic.
Non-deterministic bugs: raise reproduction rate until debuggable. If no loop is possible, stop — list what you tried, ask for env access or captured artifacts. No red-capable command, no Phase 2.
Done when one agent-runnable command is red-capable, deterministic, fast, and already run once (paste invocation + output).
Phase 2 — Reproduce + minimise
Loop goes red on the user's symptom. Shrink repro one cut at a time — every remaining piece must be load-bearing.
Phase 3 — Hypothesise
3–5 ranked, falsifiable hypotheses before testing. Show the list to the user when possible.
Phase 4 — Instrument
One variable at a time. Debugger > targeted logs. Tag logs [DEBUG-xxxx] for cleanup. Perf: measure baseline, then bisect.
Phase 5 — Fix + regression test
Regression test before fix only at a correct seam (real bug pattern at call site). No seam → document as architectural finding.
Phase 6 — Cleanup
Remove debug tags, delete throwaway harnesses, re-run Phase 1 loop, state winning hypothesis in commit message.
Post-fix: if prevention needs architectural change (no test seam, tangled coupling), recommend /aiops with Architecture health — after the fix, with specifics.