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Add compare_join_types tool, improve verification, enhance date boundaries#70

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kiwi0401 wants to merge 25 commits intosp-researchfrom
autofyn/2026-04-09-ad650f
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Add compare_join_types tool, improve verification, enhance date boundaries#70
kiwi0401 wants to merge 25 commits intosp-researchfrom
autofyn/2026-04-09-ad650f

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Summary

  • New MCP tool: compare_join_types — shows row counts for INNER/LEFT/RIGHT/FULL OUTER JOIN between two tables, helping agent pick correct JOIN type
  • Increased value-verify agent budget from 12 to 25 turns — agent was finding issues but running out of turns before applying fixes
  • New verification checks: CHECK 7 (NULL/junk row filter) and CHECK 8 (JOIN type verification) added to value-verify prompt
  • Improved date boundary output — TABLE MAX DATES now more prominent with explicit RULE about using fact table's max date
  • SDK migration (prior commits): All 4 subprocess claude -p calls replaced with async Claude Agent SDK, skills now invocable as tools, 100% verification tool adoption

Results

Task Before After Change
retail001 PASS PASS No regression
airport001 FAIL (stochastic) PASS Stochastic pass
netflix001 109 rows 98 rows (gold=99) CHECK 7 effective, -11 rows
playbook002 both FAIL attribution PASS, cpa FAIL Partial improvement
shopify001 2083 rows 2082 rows (gold=2077) Slight improvement
synthea001 808 rows 806 rows (gold=809) Same range

Tests

  • Syntax verification: all modified files pass ast.parse
  • Regression check: retail001 still PASS
  • 15+ task runs with new tools, no new regressions

🤖 Generated with Claude Code


Branch: autofyn/2026-04-09-ad650f · Run: 7361a874-ca51-4efd-9ee9-89f766474f9a · Generated by AutoFyn

AutoFyn Bot and others added 25 commits April 9, 2026 14:43
New MCP tools in mcp_server.py:
- check_model_schema: compare materialized table columns vs expected YML columns
- dbt_error_parser: parse dbt errors into actionable fix suggestions
- generate_sql_skeleton: generate SQL template from column list and refs
- analyze_grain: analyze table cardinality and unique keys
- validate_model_output: post-build row count validation with fan-out detection

Updated run_direct.py agent prompts to instruct mandatory verification
using the new tools after each dbt build.

Added tools_recommendations.md tracking tool impact analysis.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Consolidate 8 skills into 4 flat-structure skills (dbt-workflow, dbt-verification,
  dbt-debugging, duckdb-sql) with strong descriptions for Claude Code auto-discovery
- Flatten skill directory structure (.claude/skills/<name>/) so Claude Code discovers
  them — nested directories (dbt/expert/) were invisible to the discovery mechanism
- Slim build_agent_prompt() from ~7K to ~1.3K static chars by moving all rules,
  verification protocols, and error handling into skills
- Add git init to prepare_workdir() so each task workdir becomes its own project root,
  enabling skill auto-discovery via .claude/skills/
- Add explicit skill usage guide to CLAUDE.md with /skill-name invocation syntax
- Agent now sees skill descriptions in system context and invokes /dbt-verification
  after builds, /dbt-debugging on errors — no more wasting turns reading skill files

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Replace 12-turn value-verify LLM agent with deterministic Python checks:
  table existence, column diff against YML, zero-row detection
- Only spawn 8-turn fix agent when real issues are found (saves turns)
- Strengthen step 5 prompt language for mandatory /dbt-verification
- Add --output-format json and agent_output.json transcript saving
- Update tools_recommendations.md with Round 2 test results

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add --output-format json and agent_output.json transcript saving
- Log which skills the agent invokes during runs
- Strengthen step 5: "MANDATORY VERIFICATION" with /dbt-verification
- Update tools_recommendations.md with Round 2 test results
- Architecture note: all DB access must go through SignalPilot MCP

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Reduce prompt from ~4800 to ~2984 chars by moving static guidance to skills
- Move output table name verification steps to dbt-verification skill
- Move turn budget/checkpoint guidance to dbt-workflow skill
- Simplify cardinality interpretation (one line vs four)
- Keep prompt focused on task-specific dynamic data

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… refs

Skills don't work in -p mode (0 invocations across 20+ runs). Replace
skill references with:
1. Inline Key Rules in CLAUDE.md (materialization, column naming, JOIN defaults)
2. Per-model verification loop in step 4: write SQL → dbt run → validate_model_output → check_model_schema → fix or proceed
3. Remove separate step 5 verification that agent always skipped

Result: agent now calls validate_model_output and check_model_schema
on every run. quickbooks003 flipped FAIL→PASS. xero001 improved
from 24 rows off to 4 rows off.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…riants

The scan for date-sensitive models only matched current_date/now() but
missed current_timestamp, CURRENT_TIMESTAMP, current_timestamp_backcompat,
and getdate() — causing zuora001 and similar tasks to not get the
critical warning to replace live dates with get_date_boundaries output.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New flips:
- quickbooks003: date spine capped by get_date_boundaries
- f1003: current_date age calc replaced with max date from data

Key changes that enabled flips:
1. Per-model verification loop (validate_model_output + check_model_schema)
2. Expanded current_date scan to catch current_timestamp variants
3. Skills replaced with inline MCP tool calls (skills don't work in -p mode)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Updated tool status (check_model_schema and validate_model_output now
actively used in ~60% of runs), comprehensive root cause analysis for
all failing tasks tested, and detailed findings on what approaches
work vs don't work for benchmark improvement.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…patterns

The warning now explicitly tells the agent to replace current_timestamp,
current_timestamp_backcompat(), getdate() (not just current_date/now())
and shows the exact replacement pattern: CAST('<MAX_DATE>' AS DATE).
Also mentions that dbt macro calls should be replaced entirely.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New tool compares model output row count against all upstream source
tables in one call, detecting fan-out (>2x), over-filter (<0.5x),
constant columns, and 50%+ NULL columns. Replaces manual multi-turn
investigation that the agent rarely completed within turn budget.

Integrated into agent prompt (step 4d2) and verification skill.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
get_date_boundaries now emits a TABLE MAX DATES summary block before
the GLOBAL MAX DATE line, showing each table's individual max date.
Agent prompt updated to use fact-table-specific max dates for date
spines instead of always defaulting to global max.

Fixes shopify001/pendo001 class of failures where different tables
have meaningfully different max dates.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace all 4 subprocess `claude -p` agent invocations with async
Claude Agent SDK calls. Skills in .claude/skills/ are now fully
invocable as tools (not just passive context in -p mode).

Changes:
- Add _run_sdk_agent() with full message logging, retry on 529/overload
- Convert run_agent() to async, save structured transcript
- Extract quick-fix, value-verify, name-fix into async helpers
- Remove _run_claude_with_retry() and all subprocess cmd variables
- main() stays sync with asyncio.run() at call sites

Verification tool usage should increase from ~60% to ~100% now that
skills are executable, not just background text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Catch generic Exception in _run_sdk_agent (SDK raises plain Exception
  on exit code 1, not ProcessError/ClaudeSDKError)
- If agent completed (success=True) but SDK throws on exit, treat as
  non-fatal warning instead of crash
- Wrap all 4 asyncio.run() call sites in main() with try/except to
  prevent SDK errors from skipping evaluation
- Fix skill invocation detection: check for tool name "Skill" with
  skill name in input dict, not just SKILL_TOOL_NAMES

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Release MCP connection and sleep 1s before evaluation to prevent
DuckDB WAL lock conflicts. The SDK's MCP server subprocess may still
hold connections open when evaluation tries to read tables.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace per-query open/close with persistent connections to avoid
DuckDB WAL visibility issues where SHOW TABLES succeeds but
SELECT fails on the same table.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Open a write connection and run CHECKPOINT to flush WAL, ensuring all
tables materialized by dbt are visible to the evaluation's read-only
connections. Fixes intermittent "table does not exist" errors in eval.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
SDK migration: 100% verification tool usage (up from ~60%).
No new flips yet, but verification infrastructure is solid.
No regressions on previously passing tasks.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- New MCP tool: compare_join_types shows row counts for INNER/LEFT/RIGHT/
  FULL OUTER JOIN between two tables, helping agent pick correct JOIN type
- Increase value-verify agent from 12 to 25 turns (agent was finding issues
  but running out of turns before fixing them)
- Add compare_join_types to CLAUDE.md template and build prompt step 4b
- Update dbt-workflow skill to reference compare_join_types

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- get_date_boundaries: reorder output to emphasize TABLE MAX DATES over
  global max, add RULE text explaining to use fact table's max date
- Value-verify prompt: add CHECK 7 (NULL/junk row filter) and CHECK 8
  (JOIN type verification via compare_join_types)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
No new full task flips. Key improvements:
- netflix001: 109→98 rows (gold=99), CHECK 7 NULL filter effective
- playbook002: attribution_touches now passes (was FAIL)
- airport001: PASS (stochastic, was FAIL last run)
- shopify001: products PASS, daily_shop 2082 vs 2077
- compare_join_types tool implemented but 0% agent adoption

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CHECK 7 now distinguishes between rows where ALL columns are NULL (junk)
vs rows where only some columns are NULL (valid data). Previously agent
would filter all NULL-title rows, but gold may keep rows with NULL
title if other columns have data (netflix001: 98 vs 99).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CHECK 9: Duplicate row detection for UNION models
CHECK 10: Monetary value sign check (negative charge convention)
CHECK 11: COALESCE audit — catch NULL→0 fills on LEFT JOIN results

Build rules: prefer UNION over UNION ALL for dedup, use ABS() for
monetary columns, ephemeral wrapper pattern for missing refs,
anti-COALESCE rule for LEFT JOIN results.

Round 6 results: 13 new PASSes (greenhouse001, playbook001, lever001,
maturity001, google_play001, google_play002, activity001,
app_reporting001, qualtrics001, workday001, shopify002,
shopify_holistic_reporting001, workday002).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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