Works with the AI tools you already use
Background Job Reliability Auditor
by heyhridyansh
Production-grade reliability auditing for background jobs, queue consumers, and asynchronous workflows.
$14.99
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See it in action
You say
Audit this Stripe webhook consumer. It updates subscription status in Postgres and sends a Slack notification. Here is the code and the retry config for my SQS queue.
Your agent does
Verdict: Material reliability gaps (Score: 68/100). Findings:
- High: Missing idempotency key check. Duplicate webhooks will cause multiple Slack pings.
- Medium: Database update occurs after Slack notification. If DB fails, Slack message is sent but state is not updated. Remediation: Wrap in transaction.
What you get
About this skill
The problem
Background jobs and queue consumers often fail silently or cause duplicate side effects like double-billing or multiple email sends. Standard code reviews usually miss the complex edge cases of distributed systems, such as visibility timeouts, race conditions, and partial failures.
What it does
- Analyzes worker implementations for idempotency and duplicate-processing risks.
- Audits retry policies, backoff strategies, and dead-letter queue handling.
- Maps execution flows to identify points of potential data loss or state corruption.
- Evaluates concurrency controls, locking mechanisms, and database transaction boundaries.
- Generates a 100-point reliability score and a prioritized remediation plan.
Why this beats prompting it yourself
General-purpose LLMs lack the specific rubric for distributed systems reliability. This skill follows a rigorous 20-step audit workflow that forces checks for often-forgotten failure modes like lease expiry, clock drift in schedulers, and response ambiguity in external APIs.
Use cases
- Reviewing an asynchronous billing or payment processing job before launch.
- Auditing a high-volume queue consumer for backlog and starvation risks.
- Validating the safety of a manual job replay or recovery procedure.
- Defining the specific test cases needed to prove a worker is production-ready.
Known limitations
Cannot execute workers or connect to live brokers. It performs static analysis and requires you to provide the implementation code or configuration.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
10 skills on Agensi
I create practical, AI-ready skills for Cursor, Claude Code, Codex CLI, Replit, and other agents that support the SKILL.md format. My skills focus on specific business and workflow problems, including ecommerce creative audits, design quality checks, prompt and skill validation, content systems, and process automation. Each skill is built with clear inputs, structured outputs, defined permissions, safeguards, and real-world usability.
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