/supergraph:diagnose
SkillDev toolsStructured 6-phase debugging. Build feedback loop first, reproduce deterministically, hypothesize with ranked falsifiable theories, instrument one variable at a time, fix with regression test, cleanup. Use when a bug exists, tests fail unexpectedly, or behavior is wrong and cause is unknown.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /supergraph:diagnose skill
What this skill tells your AI
The instructions your AI receives, as published by datit309/supergraph in plugins/supergraph/skills/diagnose/SKILL.md and read by ahel’s review.
Systematic debugging. Never guess and patch — build a feedback loop, prove the hypothesis, fix once.
Announce: "🐛 /supergraph:diagnose — building feedback loop..."
Setup
Read .supergraph-env for test/lint commands (if exists):
[ -f .supergraph-env ] && source .supergraph-env
This sets $TEST_CMD, $FOCUSED_TEST_CMD, $LINT_CMD. If absent, detect from project config (package.json → jest/vitest, pubspec.yaml → flutter test, etc.) same as /supergraph:scan.
Phases
Phase 1 — Build Feedback Loop
Before touching any code, establish a fast, deterministic way to observe the bug.
# Identify the smallest command that shows the failure
$TEST_CMD --grep "<failing test name>" # focused test run
# or
<minimal repro command>
Goal: failure visible in < 5 seconds. If not, slim down the repro. Do NOT skip this phase. Debugging without a feedback loop is guessing.
Phase 2 — Reproduce Cleanly
- Run the feedback loop 3 times — confirm it fails consistently
- Capture exact error output, stack trace, exit code
- Note any flakiness → treat as separate bug before continuing
- Add a failing regression test if one doesn't exist:
test("<bug description>", () => { ... }) // RED
Phase 3 — Hypothesize (3-5 ranked theories)
List falsifiable hypotheses, ordered most-to-least likely:
1. [Most likely] — [reason] — [how to falsify]
2. [Second] — [reason] — [how to falsify]
3. [Third] — [reason] — [how to falsify]
Rules:
- Each hypothesis must be falsifiable (observable test to disprove it)
- No implementation yet — only theories
- Use graph context if available:
search_graph(project=CBM_PROJECT, name_pattern=<suspect>) trace_path(project=CBM_PROJECT, direction="inbound") trace_path(project=CBM_PROJECT, direction="outbound")
Phase 4 — Instrument (one variable at a time)
Test hypothesis #1 first. Change ONE thing to observe ONE signal:
- Add targeted log/assertion near the suspect code
- Run feedback loop → confirm or refute
- Remove instrumentation after each test — never accumulate debug logs
- If refuted → move to hypothesis #2
- Stop when hypothesis is confirmed
Rule: Never change the code under test and the instrumentation simultaneously.
Phase 5 — Fix + Regression Test
Once root cause is confirmed:
- Write/update the regression test first (stays RED)
- Apply minimal fix
- Run feedback loop → GREEN
- Run full test suite → no regressions
- Run lint:
$LINT_CMD
Minimal fix means: fix the cause, not the symptom. If the fix touches a hub node → get user approval first.
If search/trace returns empty, label graph evidence unavailable and fall back to
Serena/filesystem evidence. Use the validated test-gaps recipe for missing tests.
Phase 6 — Cleanup + Post-mortem
- Remove all debug instrumentation and temp files
- Update CONTEXT.md if bug revealed a hidden domain invariant
- One-sentence post-mortem:
Root cause: [X] Fix: [Y] Prevented recurrence by: [regression test / invariant documented] - Checkpoint:
git add [exact files] git commit -m "fix: <description>"
Report
✅ /supergraph:diagnose complete
- Root cause: [confirmed hypothesis]
- Fix: [what changed]
- Regression test: [test name / path]
- Tests: PASS | Lint: PASS
- Next: /supergraph:fix (if more issues) or /supergraph:verify
Rules
- Never skip Phase 1 — feedback loop is mandatory
- Never change two variables simultaneously in Phase 4
- Never commit without a regression test
- If hypotheses exhausted with no match → stop, report to user with all observations
Signals
- GitHub stars
- 22
- Forks
- 5
- Last commit
- Sep 2026
- Hacker News mentions
- 20
Advanced
- Catalog kind
- skill
- Gateway key
diagnose-datit309- Source
- github.com/datit309/supergraph