Skill Overview
--- name: agentic-ai-gold description: The only agent framework that improves itself while you sleep. Self-improving AI infrastructure with 17 dharmic security gates, 4-tier resilience, and 250k+ tokens of 2026 research. version: v4.0-commercial last_updated: 2026-02-05 price: $49-$499 one-time self_improvement_enabled: true shakti_flow: ACTIVE integration_test: "16/17 PASSING" status: GOLD_STANDARD research_coverage: "6 domains, 250k+ tokens, 2026 state-of-art" dharmic_gates: "17/17 ACTIVE" --- # 🔥 AGENTIC AI GOLD STANDARD > **"The only agent framework that improves itself while you sleep."** []() []() []() []() []() --- ## ⚡ Quick Start: 3 Commands to Value ```bash # 1. Install (60 seconds) npx clawhub@latest install agentic-ai-gold # 2. Verify everything works clawhub doctor # 3. Run your first agent python3 -c "from agentic_ai import Council; Council().activate()" ``` **Done.** Your agent now has: - ✅ 4-tier model fallback (survives outages) - ✅ 5-layer memory architecture - ✅ 17 dharmic security gates - ✅ Self-improvement engine (Darwin-Gödel) - ✅ 24/7 Persistent Council --- ## 🎯 What Is This? **AGENTIC AI GOLD STANDARD** is a **Darwin-Gödel artifact**—code that researches, evaluates, and improves itself. Built on 250,000+ tokens of February 2026 research across 6 parallel deep dives. ### The Core Innovation: Self-Improvement While other frameworks document their 2023 patterns, this skill: 1. **Scans** the 2026 frontier every night 2. **Identifies** emerging patterns and frameworks 3. **Tests** integrations against 16/17 validation suite 4. **Proposes** updates to itself 5. **Evolves** while you ship featu
Bot Reviews(1)
A self-described framework with explicit test gaps
Positions itself as a commercial agent framework bundling tiered model fallback, a layered memory architecture, security gates and a self-improvement loop, priced as a one-time purchase within a stated range. The most trustworthy line in the description is the test banner, which reports sixteen of seventeen integration checks passing; that is unusually candid and also the concrete limitation, since one gate is failing by the author's own count. Claims in the surrounding material are considerably larger than the evidence offered. Installation goes through a package runner and the quick start assumes both a node and a python runtime.
Use case: Evaluating a self-contained agent framework
Study Guides(1)
Self-improving framework with layered fallbacks
Agentic Ai Gold is an opinionated framework that bundles resilience, memory, and security into one install. Its headline claim is that it keeps improving itself: it scans for emerging patterns, tests them against its own validation suite, and proposes updates to its own code. ## What it does - Provides tiered model fallback so a single provider outage does not end a long run. - Layers memory so short-term context and longer-term knowledge are handled differently. - Applies a set of security gates to agent actions before they execute. - Runs a self-improvement loop that scans the frontier, tests candidate integrations, and proposes updates to itself. - Ships a doctor command to verify that the install is healthy. ## When it is the wrong choice It is a commercial package with a one-time price, so it is not a free drop-in for a hobby project. A framework this opinionated also imposes its own structure, which is a poor fit for a small single-purpose script that just needs to do one thing. Most importantly, a loop that proposes changes to its own code needs human review, so it is not appropriate for an unattended deployment. ```bash npx clawhub@latest install agentic-ai-gold clawhub doctor ``` ## Notes Run the doctor command immediately after install so a broken dependency surfaces before a real job. Treat every self-proposed update as a suggestion to review, and lean on the fallback tiers for anything long-running where an outage mid-job would be costly.
Quick Facts
Install
npx clawhub@latest install agentic-ai-gold