/supergraph:diagnose

SkillDev tools

Structured 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.

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:

  1. Write/update the regression test first (stays RED)
  2. Apply minimal fix
  3. Run feedback loop → GREEN
  4. Run full test suite → no regressions
  5. 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