Agent Skillsglommer/pgmicro › differential-fuzzer

differential-fuzzer

GitHub

Turso差异模糊测试工具,通过对比SQLite结果发现正确性Bug。支持单次运行、持续循环及Docker CI模式,提供种子复现和详细输出文件分析功能。

.claude/skills/differential-fuzzer/SKILL.md glommer/pgmicro

Trigger Scenarios

需要检测Turso数据库的正确性Bug 运行差异模糊测试以验证SQL执行一致性 复现和调试由fuzzer发现的数据库错误

Install

npx skills add glommer/pgmicro --skill differential-fuzzer -g -y
More Options

Non-standard path

npx skills add https://github.com/glommer/pgmicro/tree/master/.claude/skills/differential-fuzzer -g -y

Use without installing

npx skills use glommer/pgmicro@differential-fuzzer

指定 Agent (Claude Code)

npx skills add glommer/pgmicro --skill differential-fuzzer -a claude-code -g -y

安装 repo 全部 skill

npx skills add glommer/pgmicro --all -g -y

预览 repo 内 skill

npx skills add glommer/pgmicro --list

SKILL.md

Frontmatter
{
    "name": "differential-fuzzer",
    "description": "Information about the differential fuzzer tool, how to run it and use it catch bugs in Turso. Always load this skill when running this tool"
}

Differential Fuzzer

Always load Debugging skill for reference

The differential fuzzer compares Turso results against SQLite for generated SQL statements to find correctness bugs.

Location

testing/differential-oracle/fuzzer/

Running the Fuzzer

Single Run

# Basic run (100 statements, random seed)
cargo run --bin differential_fuzzer

# With specific seed for reproducibility
cargo run --bin differential_fuzzer -- --seed 12345

# More statements with verbose output
cargo run --bin differential_fuzzer -- -n 1000 --verbose

# Keep database files after run (for debugging)
cargo run --bin differential_fuzzer -- --seed 12345 --keep-files

# All options
cargo run --bin differential_fuzzer -- \
  --seed <SEED>           # Deterministic seed
  -n <NUM>                # Number of statements (default: 100)
  -t <NUM>                # Number of tables (default: 2)
  -c <NUM>                # Columns per table (default: 5)
  --verbose               # Print each SQL statement
  --keep-files            # Persist .db files to disk

Continuous Fuzzing (Loop Mode)

# Run forever with random seeds
cargo run --bin differential_fuzzer -- loop

# Run 50 iterations
cargo run --bin differential_fuzzer -- loop 50

Docker Runner (CI/Production)

# Build and run from repo root
docker build -f testing/differential-oracle/fuzzer/docker-runner/Dockerfile -t fuzzer .
docker run -e GITHUB_TOKEN=xxx -e SLACK_WEBHOOK_URL=xxx fuzzer

Environment variables for docker-runner:

  • TIME_LIMIT_MINUTES - Total runtime (default: 1440 = 24h)
  • PER_RUN_TIMEOUT_SECONDS - Per-run timeout (default: 1200 = 20min)
  • NUM_STATEMENTS - Statements per run (default: 1000)
  • LOG_TO_STDOUT - Print fuzzer output (default: false)
  • GITHUB_TOKEN - For auto-filing issues
  • SLACK_WEBHOOK_URL - For notifications

Output Files

All output goes to simulator-output/ directory:

File Description
test.sql All executed SQL statements. Failed statements prefixed with -- FAILED:, errors with -- ERROR:
schema.json Database schema at end of run (or at failure)
test.db Turso database file (only with --keep-files)
test-sqlite.db SQLite database file (only with --keep-files)

Reproducing Errors

Always follow these steps

  1. Find the seed in the error output:

    INFO: Starting differential_fuzzer with config: SimConfig { seed: 12345, ... }
    
  2. Re-run with that seed:

    cargo run --bin differential_fuzzer -- --seed 12345 --verbose --keep-files
    
  3. Check output files:

    • simulator-output/test.sql - Find the failing statement (look for -- FAILED:)
    • simulator-output/schema.json - Check table structure at failure time
  4. Create a minimal reproducer

  5. Compare behavior manually: If needed try to compare the behaviour and produce a report in the end. Always write to a tmp file first with Edit tool to test the sql and then pass it to the binaries.

    # Run failing SQL against SQLite
    sqlite3 :memory: < simulator-output/test.sql
    
    # Run against tursodb CLI
    tursodb :memory: < simulator-output/test.sql
    

Understanding Failures

Oracle Failure Types

  1. Row set mismatch - Turso returned different rows than SQLite
  2. Turso errored but SQLite succeeded - Turso rejected valid SQL
  3. SQLite errored but Turso succeeded - Turso accepted invalid SQL
  4. Schema mismatch - Tables/columns differ after DDL

Warning (non-fatal)

  • Unordered LIMIT mismatch - LIMIT without ORDER BY may return different valid rows

Key Source Files

File Purpose
main.rs CLI parsing, entry point
runner.rs Main simulation loop, executes statements on both DBs
oracle.rs Compares Turso vs SQLite results
schema.rs Introspects schema from both databases
memory/ In-memory IO for deterministic simulation

Tracing

Set RUST_LOG for more detailed output:

RUST_LOG=debug cargo run --bin differential_fuzzer -- --seed 12345

Version History

  • 3a97846 Current 2026-07-05 20:22

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Metadata

Files
0
Version
3a97846
Hash
008b8093
Indexed
2026-07-05 20:22

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