Opencode Coding

    4

    Enforce senior-level coding standards with a focus on verification, minimal diffs, and evidence-based bug fixing.

    $5

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    opencode-coding

    Example session with this skill installed

    Audit the authentication service for timing attack vulnerabilities. If found, implement the most surgical fix possible and verify it against existing tests.

    • Read your context and instructions
    • Compiled the opencode-coding

    Verified: Ran pytest tests/auth/ (3 passed).
    Inferred: DB connection pool handles the retry logic based on line 42 config.
    Unknown: Scaling behavior under 10k concurrent reqs.
    Change: Modified auth_service.py L89 to use safe_compare to prevent timing attacks. Smallest safe fix.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    What it does

    Opencode Coding is a high-performance skill designed to enforce senior-engineer coding standards across any AI model. It moves beyond "prompt-and-hope" coding by mandating a rigorous technical workflow: verify first, implement the narrowest defensible change, and prove success through execution rather than inspection.

    Why use this skill

    Standard LLM coding often suffers from "hallucinated confidence" and bloated, speculative refactors. This skill solves that by forcing the agent to adopt a Codex-grade standard. It is better than simple prompting because it embeds a systematic engineering contract: every change must be localized, every bug must be reproduced, and every completion must state exactly what was verified and what remains unknown. It turns your agent into an engineer that values stability and evidence over cleverness.

    Key Features

    • Evidence-Based Debugging: Identifies root causes and reproduces failures before proposing fixes.
    • Minimal Impact Diffs: Prioritizes the smallest safe change to preserve project patterns and reduce regression risk.
    • Verification-First Workflow: mandates running targeted tests, linters, or manual validations before reporting success.
    • Standardized Reporting: Every output includes a "Response Contract" detailing what was Verified, Inferred, and Unknown.

    Supported Use Cases

    This skill is framework-agnostic and works across any tech stack. Use it for complex feature implementation, surgical bug fixing, safe refactoring of legacy modules, and rigorous PR reviews where functional correctness is the priority.

    • Effectiveness depends on the quality of existing project test suites.
    • Cannot physically run code in environments without an execution runtime.
    • High-level architectural redesigns may be limited by the "minimal diff" focus.

    How to use

    1. 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. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 7 months ago

    Permissions

    No special permissions declared or detected

    Listed7 months ago

    What's inside

    Frequently Asked Questions

    This skill replaces "lazy" AI coding with a senior-level workflow that mandates evidence-based debugging, minimal code diffs, and a strict verification contract to ensure every change is functional and stable.

    Opencode Coding is framework-agnostic and compatible with any AI agent or platform that supports system instruction injection, making it effective for everything from Python backend work to complex JavaScript frontend refactors.

    By forcing the agent to find a reproduction case and implement the narrowest possible fix, the skill prevents the wide-scale, speculative refactoring that typically causes regressions in large codebases.

    Upon purchase, you will receive the full Opencode engineering contract and implementation guide, which can be instantly integrated into your preferred AI's system workspace or agent configuration.

    Yes, once you own the skill, you will have access to any future optimizations and updates to the engineering contract as new best practices for AI-driven software development are identified.

    Setup is a simple copy-and-paste process into your agent's core instructions, allowing you to immediately enforce the "Response Contract" standards on your very next task.

    New in Code Quality & Review