A technical audit tool that scans source code and SQL to identify exposure to the six fundamental database concurrency anomalies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bookforge-concurrency-anomaly-detector
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bookforge-concurrency-anomaly-detector using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Concurrency Anomaly Detector?
The Concurrency Anomaly Detector is a specialized tool designed to identify structural vulnerabilities in application code that interacts with databases. Based on the principles of data-intensive applications, it moves beyond non-deterministic testing to perform systematic analysis of transaction boundaries and data access patterns. By mapping code structures like read-modify-write cycles and check-then-act logic to known database behaviors, it uncovers hidden race conditions that lead to data corruption.
This skill is essential for developers using Openclaw Skills to ensure their systems remain consistent under high concurrent load. It bridges the gap between high-level application logic and low-level database isolation guarantees, providing a clear path to mitigation through isolation upgrades, atomic operations, or explicit locking strategies.
Concurrency Anomaly Detector Use Cases
- Debugging hard-to-reproduce data corruption bugs that only occur under concurrent load.
- Auditing transaction logic before deploying to production or migrating to a new database engine.
- Verifying code safety when using weak isolation levels like Read Committed or Repeatable Read.
- Identifying write skew and phantom reads in complex business logic involving aggregate checks.
- Post-incident analysis of race conditions to prevent regressions.
How Concurrency Anomaly Detector Works
- Identify the target database engine and its effective isolation level configuration to establish a baseline for safety guarantees.
- Execute systematic grep patterns across the codebase to locate transaction boundaries and risky SQL/ORM patterns.
- Analyze code segments for the 'fingerprints' of specific anomalies, such as dirty reads, lost updates, or write skew.
- Classify each identified vulnerability by severity and potential business impact based on the specific database behavior.
- Generate a comprehensive findings report featuring file locations, code snippets, and prioritized fix recommendations.
Concurrency Anomaly Detector Setup
To use this skill within your environment, ensure you are in the project root directory and have the Openclaw Skills framework installed. You can trigger the scan by providing your codebase as input:
# Example command to run a scan using Openclaw Skills
openclaw run concurrency-anomaly-detector --input ./src
Ensure your environment has standard CLI tools like grep available for pattern matching.
Concurrency Anomaly Detector Data Schema & Taxonomy
The skill produces a structured findings report and organizes its analysis using the following taxonomy:
| Attribute | Description |
|---|---|
| Anomaly Type | One of the 6 core anomalies (e.g., Write Skew, Lost Update) |
| Severity | CRITICAL, HIGH, MEDIUM, or LOW based on data integrity risk |
| Code Pattern | The specific structural sequence (e.g., Read-Modify-Write) found in source |
| Fix Detail | Actionable code changes such as SELECT FOR UPDATE or atomic increments |
Concurrency Anomaly Detector Advanced Features
- Multi-language support covering Python (SQLAlchemy), Java (Hibernate), Go (sqlx), Ruby (ActiveRecord), and Node.js.
- Database-specific behavioral mapping for PostgreSQL, MySQL InnoDB, Oracle, and SQL Server.
- Automated severity downgrading if existing schema constraints (like UNIQUE) mitigate the identified risk.
- Integration with the transaction-isolation-selector skill for automated remediation strategies.
SKILL.md
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