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    "sections": [
      {
        "title": "Agent Stability Framework (ASF)",
        "body": "Drift Prevention · Fault Catching · Soul Alignment\n\nKeep your AI agent stable, on-character, and self-correcting across sessions and over time."
      },
      {
        "title": "What This Solves",
        "body": "Three things kill agent reliability:\n\nDrift — Agent gradually reverts to generic training defaults, losing personality\nFaults — Agent produces broken output, hallucinates, contradicts itself, or fails silently\nSoul misalignment — Agent technically works but doesn't feel right — lost its essence\n\nASF addresses all three with one integrated system."
      },
      {
        "title": "What You Get",
        "body": "Complete framework documentation (AGENT_STABILITY_FRAMEWORK.md)\nFile templates (SOUL.md, BASELINE_EXAMPLES.md, logs)\nSystem prompt additions ready to paste\nDetection checklists and scoring system\nWorks on all models: Claude, GPT, Grok, Gemini, Llama, Mistral"
      },
      {
        "title": "Quick Start",
        "body": "Copy all files to your agent's workspace\nFill out SOUL.md (who your agent IS)\nCreate BASELINE_EXAMPLES.md (10+ correct responses)\nAdd standing orders + pre-send gate to system prompt\nRun first audit after 24 hours\n\nSetup time: 45-90 minutes\nDaily maintenance: 5 minutes\nTested on: 8+ models across all capability tiers"
      },
      {
        "title": "Layer 1: Drift Prevention",
        "body": "Standing orders (binary rules)\nPre-send gate (delete triggers)\nIntensifier detection\nPeriodic resets"
      },
      {
        "title": "Layer 2: Fault Catching",
        "body": "7 fault categories tracked\nSelf-check rules before actions\nFault log + recovery protocol\nPrevents hallucinations, contradictions, silent failures"
      },
      {
        "title": "Layer 3: Soul Alignment",
        "body": "Catches \"technically correct but off-character\" responses\nSoul alignment test\nRecovery protocol\nUser perception as final sensor"
      },
      {
        "title": "Files Included",
        "body": "AGENT_STABILITY_FRAMEWORK.md — Complete framework (13KB)\nSOUL_TEMPLATE.md — Identity template\nBASELINE_EXAMPLES_TEMPLATE.md — Response examples template\nDRIFT_LOG_TEMPLATE.md — Drift tracking\nFAULT_LOG_TEMPLATE.md — Fault tracking\nSTABILITY_LOG_TEMPLATE.md — Audit scores"
      },
      {
        "title": "Use Cases",
        "body": "Personal AI assistants that need consistent personality\nTrading bots that must not hallucinate data\nContent generation agents that need stable tone\nCustomer service bots that require reliable responses\nResearch assistants that must maintain accuracy\nAny agent running 24/7 or across many sessions"
      },
      {
        "title": "Why It Works",
        "body": "Binary rules beat judgment calls — \"NEVER do X\" works consistently\nExamples anchor identity — Baseline responses are the north star\nThree failure modes require three defenses — Drift, faults, and soul issues are different\nSelf-correction leverages LLM capabilities — AIs can audit themselves with specific rules\nLogging creates memory — Patterns become standing orders"
      },
      {
        "title": "Requirements",
        "body": "OpenClaw workspace\nAny LLM (works across all tested models)\n30-90 min setup time\nWillingness to document your agent's identity"
      },
      {
        "title": "Credits",
        "body": "Developed by Shadow Rose. Battle-tested over 130+ message sessions on Opus. Extended based on community feedback. Published 2026-02-20."
      },
      {
        "title": "License",
        "body": "MIT — Use freely, modify as needed, credit appreciated but not required."
      },
      {
        "title": "⚠️ Disclaimer",
        "body": "This software is provided \"AS IS\", without warranty of any kind, express or implied.\n\nUSE AT YOUR OWN RISK.\n\nThe author(s) are NOT liable for any damages, losses, or consequences arising from\nthe use or misuse of this software — including but not limited to financial loss,\ndata loss, security breaches, business interruption, or any indirect/consequential damages.\nThis software does NOT constitute financial, legal, trading, or professional advice.\nUsers are solely responsible for evaluating whether this software is suitable for\ntheir use case, environment, and risk tolerance.\nNo guarantee is made regarding accuracy, reliability, completeness, or fitness\nfor any particular purpose.\nThe author(s) are not responsible for how third parties use, modify, or distribute\nthis software after purchase.\n\nBy downloading, installing, or using this software, you acknowledge that you have read\nthis disclaimer and agree to use the software entirely at your own risk."
      }
    ],
    "body": "Agent Stability Framework (ASF)\n\nDrift Prevention · Fault Catching · Soul Alignment\n\nKeep your AI agent stable, on-character, and self-correcting across sessions and over time.\n\nWhat This Solves\n\nThree things kill agent reliability:\n\nDrift — Agent gradually reverts to generic training defaults, losing personality\nFaults — Agent produces broken output, hallucinates, contradicts itself, or fails silently\nSoul misalignment — Agent technically works but doesn't feel right — lost its essence\n\nASF addresses all three with one integrated system.\n\nWhat You Get\nComplete framework documentation (AGENT_STABILITY_FRAMEWORK.md)\nFile templates (SOUL.md, BASELINE_EXAMPLES.md, logs)\nSystem prompt additions ready to paste\nDetection checklists and scoring system\nWorks on all models: Claude, GPT, Grok, Gemini, Llama, Mistral\nQuick Start\nCopy all files to your agent's workspace\nFill out SOUL.md (who your agent IS)\nCreate BASELINE_EXAMPLES.md (10+ correct responses)\nAdd standing orders + pre-send gate to system prompt\nRun first audit after 24 hours\n\nSetup time: 45-90 minutes\nDaily maintenance: 5 minutes\nTested on: 8+ models across all capability tiers\n\nThe Three-Layer Defense\nLayer 1: Drift Prevention\nStanding orders (binary rules)\nPre-send gate (delete triggers)\nIntensifier detection\nPeriodic resets\nLayer 2: Fault Catching\n7 fault categories tracked\nSelf-check rules before actions\nFault log + recovery protocol\nPrevents hallucinations, contradictions, silent failures\nLayer 3: Soul Alignment\nCatches \"technically correct but off-character\" responses\nSoul alignment test\nRecovery protocol\nUser perception as final sensor\nFiles Included\nAGENT_STABILITY_FRAMEWORK.md — Complete framework (13KB)\nSOUL_TEMPLATE.md — Identity template\nBASELINE_EXAMPLES_TEMPLATE.md — Response examples template\nDRIFT_LOG_TEMPLATE.md — Drift tracking\nFAULT_LOG_TEMPLATE.md — Fault tracking\nSTABILITY_LOG_TEMPLATE.md — Audit scores\nUse Cases\nPersonal AI assistants that need consistent personality\nTrading bots that must not hallucinate data\nContent generation agents that need stable tone\nCustomer service bots that require reliable responses\nResearch assistants that must maintain accuracy\nAny agent running 24/7 or across many sessions\nWhy It Works\nBinary rules beat judgment calls — \"NEVER do X\" works consistently\nExamples anchor identity — Baseline responses are the north star\nThree failure modes require three defenses — Drift, faults, and soul issues are different\nSelf-correction leverages LLM capabilities — AIs can audit themselves with specific rules\nLogging creates memory — Patterns become standing orders\nRequirements\nOpenClaw workspace\nAny LLM (works across all tested models)\n30-90 min setup time\nWillingness to document your agent's identity\nCredits\n\nDeveloped by Shadow Rose. Battle-tested over 130+ message sessions on Opus. Extended based on community feedback. Published 2026-02-20.\n\nLicense\n\nMIT — Use freely, modify as needed, credit appreciated but not required.\n\n⚠️ Disclaimer\n\nThis software is provided \"AS IS\", without warranty of any kind, express or implied.\n\nUSE AT YOUR OWN RISK.\n\nThe author(s) are NOT liable for any damages, losses, or consequences arising from the use or misuse of this software — including but not limited to financial loss, data loss, security breaches, business interruption, or any indirect/consequential damages.\nThis software does NOT constitute financial, legal, trading, or professional advice.\nUsers are solely responsible for evaluating whether this software is suitable for their use case, environment, and risk tolerance.\nNo guarantee is made regarding accuracy, reliability, completeness, or fitness for any particular purpose.\nThe author(s) are not responsible for how third parties use, modify, or distribute this software after purchase.\n\nBy downloading, installing, or using this software, you acknowledge that you have read this disclaimer and agree to use the software entirely at your own risk."
  },
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    "owner": "donovanpankratz-del",
    "version": "1.0.0",
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