Spiral Version Checker

    by Sir Benjamin

    2

    State-aware validation and structured referencing to maintain citation integrity and coherence in long AI sessions.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Validate the cross-references for the auth section in technical_spec_v2.pdf and check the integrity of the link path to permissions.md.

    Your agent does

    [REFERENCE VALIDATED] Source: technical_spec_v2.pdf Reference ID: #SEC-402 Status: VERIFIED (Matches current state) Link Path: architecture/auth -> permissions.md Integrity Hash: 8f2a1b Note: All 4 cross-references in this block are active and synchronized with the latest document version.

    What you get

    Audit complex document sets for reference consistency and broken linksMaintain persistent citation state across long-form research tasksGenerate structured, verifiable links between multi-source project filesReduce hallucinated citations in technical and legal drafting workflows

    About this skill

    What it does

    The Spiral Version Checker provides your AI agent with a state-aware validation layer for managing complex references and multi-source citations. It transforms how agents handle internal and external links by moving beyond mere text generation into active state verification. This ensures that every reference, cross-link, or citation remains coherent and valid throughout long-context interactions.

    Why use this skill

    Standard LLMs often struggle with "reference drift" in long sessions, leading to broken citations or hallucinated links. This skill solves that by implementing a structured protocol for link management. It is particularly valuable for developers building knowledge bases, legal tech, or research tools where traceability is non-negotiable.

    Supported workflows

    • Knowledge Graphing: Maintaining relational integrity between interconnected documents.
    • Source Grounding: Ensuring human-facing citations point to verifiable, current sources.
    • Context Maintenance: Preventing link degradation in high-token-count reasoning tasks.

    The output is a validated reference set that prioritizes structural reliability over generic response generation.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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