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/gaia-debugging

Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix. Use when a GAIA benchmark run reports a failed/incorrect task_id and you need to root-cause it before resubmitting.

From plugin
claude-flow
67k200 skills157 agents194 commands1 MCP
Install
$ npx -y skills add ruvnet/ruflo --skill gaia-debugging --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/gaia-debugging

Context preview

The summary Claude sees to decide when to auto-load this skill.

Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix. Use when a GAIA benchmark run reports a failed/incorrect task_id and you need to root-cause it before resubmitting.

SKILL.md

gaia-debugging.SKILL.md
name: gaia-debugging
description: Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix. Use when a GAIA benchmark run reports a failed/incorrect task_id and you need to root-cause it before resubmitting.
argument-hint: "<task_id> [--results=<path>]"
allowed-tools: Bash Read mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__agentdb_pattern_search mcp__plugin_ruflo-core_ruflo__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"
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