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Grok Bot+18 agentsCoding Agent Quality Gate
Review AI-written code before you ship it: finds security holes, logic errors, missing error handling and risky shortcuts the way a senior engineer would, with a verdict and exact fixes.
$14
Coding Agent Quality Gate
Example session with this skill installed
Run a quality gate review on my current changes. I've added a new Stripe payment webhook handler in Python. The goal was to handle successful payments and update the database.
- Read your context and instructions
- Compiled the coding agent quality
QUALITY GATE REVIEW
VERDICT: BLOCK
BLOCKING
- [webhook.py:12] Security — Missing signature verification. Fix: Use stripe.Webhook.construct_event to verify the payload.
- [db.py:45] Logic — No transaction rollback on failure. Fix: Wrap DB cursor in try/except with connection.rollback().
SUMMARY: Matches core intent but lacks security.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
The Coding Agent Quality Gate acts as a senior-level "adversarial" reviewer designed specifically to audit AI-generated code before it reaches production. While AI agents are great at writing code that compiles, they often miss subtle edge cases, swallow errors, or include security anti-patterns. This skill provides a rigorous, multi-step inspection for correctness, safety, and honesty.
Why use this skill
Unlike standard LLM prompting, this skill is engineered with a "trust but verify" mindset. It forces the agent to cross-reference its own PR description against the actual implementation to catch "summary overclaims"—where an agent says it added error handling or validation but didn't. It serves as a necessary safety buffer to prevent AI-generated technical debt and security vulnerabilities from entering your codebase.
Key Features
- Substance over Style: Focuses on logic, security, and error handling rather than bikeshedding syntax or formatting.
- Intent Verification: Ensures the diff actually satisfies the requirements of the original task.
- Defensive Audit: Specifically hunts for null pointers, off-by-one errors, unhandled exceptions, and injection vulnerabilities.
- Clear Ship Decision: Returns a definitive SHIP, REVISE, or BLOCK verdict with line-referenced fixes.
Static review only — it does not run code, execute tests, or perform dynamic analysis, so runtime-only bugs may not be caught. Security findings flag likely vulnerability classes and locations for manual confirmation, not a guaranteed exhaustive audit, and are not a substitute for dedicated SAST tooling. Quality depends on the agent having access to the full diff and relevant context.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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13 uses
Times used to date
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Trust & safety
Security scan
Security scan passed 5 months ago
Permissions
Read-only. The skill reads the diff and changed files under review to audit them. It does not write, execute code, or access the network on its own.