gaia-debugging

name	gaia-debugging
description	Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix
argument-hint	<task_id> [--results=<path>]
allowed-tools	Bash Read mcp__claude-flow__memory_search mcp__claude-flow__memory_store mcp__claude-flow__agentdb_pattern_search mcp__claude-flow__agentdb_pattern_store

GAIA Debugging Skill

When a GAIA question fails, systematically diagnose the root cause and propose a targeted fix.

When to use

• A specific task_id returns the wrong answer or times out
• Pass-rate dropped between two runs and you need to find the regression
• You want to understand why a particular question class is consistently failing

Failure mode taxonomy

Code	Mode	Symptom	Fix direction
TG	Tool Gap	Agent lacks a required tool (no image OCR, no PDF reader)	Add tool to catalogue
RM	Reasoning Miss	Agent has the right data but draws wrong conclusion	Improve system prompt, add CoT instruction
EB	Extraction Bug	Answer is in the trace but FINAL_ANSWER: regex fails	Fix answer extraction pattern
LI	Loop Issue	Agent loops (re-asks same tool call) and hits turn limit	Increase max-turns or add loop-detection
DS	Dataset Shift	Ground truth differs from what web currently shows	Flag for HAL dataset audit
AT	API Timeout	Tool call times out; agent never gets the result	Increase per-turn timeout

Diagnostic workflow

Step 1 — Load the question trace

# Find the result for the task_id in the latest run
RESULTS=~/.cache/ruflo/gaia/results-latest.json
node -e "
  const r = JSON.parse(require('fs').readFileSync('$RESULTS'));
  const q = r.results.find(x => x.task_id === '$TASK_ID');
  console.log(JSON.stringify(q, null, 2));
"

Step 2 — Classify the failure

Look at the trace output:

1. No tools called at all → RM or configuration issue
2. Tool called but returned error → TG or AT
3. Tool returned data, wrong answer → RM or EB
4. Correct answer in trace but marked wrong → EB
5. max-turns hit → LI or question too hard for current model

Step 3 — Re-run with extended logging

node v3/@claude-flow/cli/bin/cli.js gaia-bench run \
  --level 1 --limit 1 \
  --task-id $TASK_ID \
  --models claude-sonnet-4-6 \
  --max-turns 20 \
  --output json

Step 4 — Apply targeted fix

Failure	Action
TG — missing web_browse	Verify gaia-tools/index.ts exports web_browse; check tool registration
TG — missing image OCR	Add image_describe tool call; verify GOOGLE_AI_API_KEY
RM — reasoning	Add a system prompt instruction: "Before answering, list all facts you have gathered"
EB — extraction	Test the FINAL_ANSWER_RE regex against the trace manually
LI — loop	Add a tool-call deduplication guard in gaia-agent.ts
AT — timeout	Set DEFAULT_PER_TURN_TIMEOUT_MS higher or use --max-turns flag

Step 5 — Verify fix and store pattern

# Re-run the single question
node … gaia-bench run --task-id $TASK_ID --models $MODEL --output json

# If now passing, store the pattern
npx @claude-flow/cli@latest memory store \
  --namespace gaia-debug-patterns \
  --key "fix-$FAILURE_CODE-$(date +%Y%m%d)" \
  --value "task_id=$TASK_ID, mode=$FAILURE_CODE, fix=$FIX_DESCRIPTION"

Quick reference: tool catalogue check

node -e "
  const { createDefaultToolCatalogue } = require('./v3/@claude-flow/cli/src/benchmarks/gaia-tools/index.js');
  const cat = createDefaultToolCatalogue({});
  console.log('Tools registered:', cat.definitions.map(t => t.name));
"

Expected: web_search, file_read, web_browse, image_describe, python_exec

Pattern storage

After resolving a debugging session, store the finding:

npx @claude-flow/cli@latest memory store \
  --namespace gaia-debug-patterns \
  --key "session-$(date +%Y%m%d-%H%M)" \
  --value '{"task_id":"$TASK_ID","failure_mode":"$CODE","fix":"$FIX","verified":true}'

Search for similar past failures:

npx @claude-flow/cli@latest memory search \
  --namespace gaia-debug-patterns \
  --query "extraction bug final answer regex"