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    Test Assignment Reviewer

    4

    The problem Reviewing technical test assignments is a time-consuming bottleneck for engineering teams.

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    Test Assignment Reviewer

    Test Assignment Reviewer

    Example session with this skill installed

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

    About this skill

    The problem

    Reviewing technical test assignments is a time-consuming bottleneck for engineering teams. Manually cross-referencing a candidate's repository against a multi-page task description often leads to inconsistent scoring and missed red flags.

    What it does

    • Parses task descriptions from GitHub, PDFs, or Notion to extract mandatory features and constraints.
    • Audits candidate implementation code for stack compliance, architecture patterns, and code quality.
    • Generates a structured verdict (HIRE/NO HIRE) with a 60-point scoring matrix across six key signals.
    • Produces a line-by-line gap analysis comparing specific requirements to actual implementation.
    • Drafts 5-7 targeted interview questions based on identified deviations or suspicious code choices.

    Frameworks & tools

    Works with GitHub repositories, deployed applications, and document formats including PDF, Notion, and Google Docs. Uses Bash and WebFetch for deep repository inspection.

    Why this beats prompting it yourself

    This skill enforces a strict, evidence-based evaluation framework that prevents hallucinated praise or vague feedback. It automates the tedious task of requirement mapping, ensuring no mandatory feature is overlooked, and provides export-ready artifacts for your ATS or team wiki.

    Use cases

    • Reviewing full-stack take-home assignments for mid-to-senior level roles.
    • Screening initial repository submissions before scheduling technical interviews.
    • Generating standardized hiring reports for engineering managers and stakeholders.
    • Audit candidate decision-making by identifying intentional deviations from the task prompt.

    Known limitations

    Evaluation of deployed apps without source code is limited to UX and feature completeness. ZIP archives must be described or pasted inline as direct file uploads are not supported.

    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.

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    Trust & safety

    Security scan

    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Listed3 months ago

    What's inside

    Frequently Asked Questions

    The skill extracts core requirements from your task documentation (GitHub, PDF, or Notion) and performs a deep audit of the candidate's repository to ensure every mandatory feature is implemented and follows best practices.

    You receive a structured 60-point scoring matrix, a detailed line-by-line gap analysis, a final hiring recommendation, and 5-7 customized interview questions based on the candidate's specific implementation.

    This skill is designed to work with major LLM-based agents that have access to the Bash and WebFetch tools, allowing it to clone repositories and inspect file structures directly.

    Yes, while it excels at code review via GitHub, it can also evaluate the feature completeness and UX of deployed applications, provided a URL is accessible via WebFetch.

    The skill uses a strict, evidence-based evaluation framework that forces the AI to cite specific code blocks or missing files, significantly reducing the risk of hallucinations compared to a generic prompt.

    The skill is compatible with any language or framework, as it performs architectural and pattern analysis; however, for deep code quality audits, it is most effective with modern full-stack frameworks.

    New in HR & Recruiting