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    AI Context Fuse — 28k Token Safety Watchdog & Handover

    1

    Deterministic 28k token context watchdog that freezes state, performs project-level snapshots, and lossless handovers.

    $39

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    AI Context Fuse — 28k Token Safety Watchdog & Handover

    AI Context Fuse — 28k Token Safety Watchdog & Handover

    Example session with this skill installed

    Audit the current conversation transcript for token bloating, assess KV-cache hit efficiency, and trigger an automated state handover snapshot if context exceeds 28,000 tokens.

    • Read your context and instructions
    • Compiled the ai context fuse

    Context Safety Audit Report

    • Current Token Depth: 28,450 tokens (Threshold: 28,000)
    • Status: 🔴 TRIP FUSE TRIGGERED
    • KV-Cache Hit Ratio: 84.2% (Static prefix schema verified)

    Automated Lossless Handover Generated:

    Created state snapshot: dystrybucja/agensi-skill/CURRENT_STATE.md (3.9 KB).

    Preserved

    1. Completed milestones & active architectural constraints.
    2. Open tasks & next execution pipeline.
    3. Clean memory reduction: Purged 24,500 obsolete historical tokens (86% memory reclaim).

    1-Click Handover Command for Fresh Window:

    Load CURRENT_STATE.md and resume execution at milestone #3.
    Load CURRENT_STATE.md

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

    About this skill

    AI Context Fuse — Deterministic Context Safety Fuse & Lossless Handover

    Stop burning your API budget re-sending bloated conversation histories and watching your AI coding assistants drift into hallucination loops!

    When working with Claude Code, Cursor, Windsurf, or Google Antigravity, long-running multi-file sessions inevitably hit the Context Overflow Trap:

    1. Past 25–40 turns, the context swells over 30,000–60,000 tokens.
    2. The LLM loses track of earlier architectural decisions and begins hallucinating regressions.
    3. Every subsequent message costs a fortune because you are re-sending the entire swollen transcript!

    ⚡ The Solution: Deterministic 28k Context Safety Watchdog

    The AI Context Fuse runs a local background watchdog that continuously audits transcript token weight.

    • Trip Fuse (28k Token Threshold): Before the model hits cognitive saturation, the fuse trips and alerts you to open a fresh session.
    • Lossless State Dump: In under 1 second, it generates a structured, immutable snapshot (CURRENT_STATE.md) containing current goals, completed steps, modified files, and open architectural decisions.
    • Multi-Project Hub & Node Isolation: Never overwrites different project states! Intelligently isolates snapshots into dedicated project folders (<project_dir>/CURRENT_STATE.md) while keeping a central master index in the workspace root.
    • 1-Click Handover: Generates a single-line command to paste into your new window, instantly restoring 100% of the project context while purging 90% of the historical token weight.
    • KV-Cache Preservation: Standardizes JSON schemas (j_code_schemas/) to lock prompt prefixes, ensuring maximum cache hit rates across Anthropic and OpenAI APIs.

    📦 What's Included:

    • scripts/context_fuse.py (CLI transcript auditor and state dump generator)
    • scripts/token_tracker.py (Local multi-model FinOps token ledger)
    • references/context_safety_protocol.md (3-tier safety thresholds)
    • references/kategoryzacja_stanow_per_projekt.md (Hub & Node isolation architecture)
    • references/j_code_schemas/ (Production static prefix schemas)

    🔒 100% Local-First & Zero Telemetry

    Runs entirely on your local machine using your existing CLI environment. Zero data telemetry, zero cloud egress.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Listed2 days ago
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