Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kayzaa/k.i.t.-bot --skill ai-narrative-enginegit clone --depth 1 https://github.com/kayzaa/k.i.t.-botWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kayzaa/k.i.t.-bot/ai-narrative-engine)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/ai-narrative-engine"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/ai-narrative-engine/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/ai-narrative-engine"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/ai-narrative-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00584 |
| Opus 5 | $0.00000 | $0.00292 |
| Sonnet 5 | $0.00000 | $0.00117 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
ai-narrative-engine scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to ai-narrative-engine — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Narrative Engine
Generate human-readable market analysis narratives using AI. Transforms raw technical data into actionable insights.
Features
- Block Analysis: Aggregate order flow and volume blocks
- Volumetric Calculations: Delta, CVD, imbalances
- Trend Detection: Multi-timeframe trend identification
- AI Narrative: Human-readable market situation summary
- Trading Bias: Clear directional bias with confidence
- Key Levels: Support/resistance with volume context
Usage
import { AInarrative } from 'kit-trading/skills/ai-narrative-engine';
const narrative = await AInarrative.analyze({
symbol: 'BTCUSDT',
timeframe: '1h',
depth: 'detailed', // 'quick' | 'detailed' | 'comprehensive'
});
console.log(narrative.summary);
// "BTC is showing bullish momentum after a successful retest of the $42,500
// support zone. Volume confirms buyer strength with a 2.3:1 buy/sell ratio.
// Key resistance at $44,200. Bias: LONG with 78% confidence."
Configuration
ai-narrative-engine:
model: claude-opus-4-5-20251101 # AI model for narrative
style: professional # professional | casual | technical
language: en # en | de | es | fr | zh | jp
include:
- trend_analysis
- volume_context
- key_levels
- trading_bias
- risk_factors
update_interval: 5m # Real-time updates
Output Format
{
"symbol": "BTCUSDT",
"timeframe": "1h",
"timestamp": "2026-02-14T13:45:00Z",
"summary": "Detailed market narrative...",
"bias": "LONG",
"confidence": 0.78,
"keyLevels": {
"support": [42500, 41800, 40000],
"resistance": [44200, 45500, 48000]
},
"volumeContext": {
"buyVolume": 1250000,
"sellVolume": 543000,
"ratio": 2.3,
"trend": "accumulation"
},
"riskFactors": [
"High funding rate (0.08%)",
"Weekend low liquidity"
],
"nextUpdate": "2026-02-14T13:50:00Z"
}
Inspired By
- TradingView AI-style narrative indicators
- Block analysis and volumetric calculations
- Aggregated market context tools
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 80 lines · 0 tokens per session scan A 948735110645
ai-narrative-engine is a skill published in the GitHub repository kayzaa/k.i.t.-bot (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 584 tokens. A static security scan graded it A with 0 findings. It is 100% identical to ai-narrative-engine, differing in 0 lines, and is treated as a copy.
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