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 pi-cyclegit 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/pi-cycle)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/pi-cycle"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/pi-cycle/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/pi-cycle"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/pi-cycle.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 | $0.00883 |
| Opus 5 | $0.00000 | $0.00441 |
| Sonnet 5 | $0.00000 | $0.00177 |
| Haiku 4.5 | $0.00000 | $0.00088 |
Grade A, and why
pi-cycle 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 7d 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 pi-cycle — 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pi Cycle Top/Bottom Indicator
Skill #80 | Category: Analysis | Inspired by: TradingView Pi Cycle Indicator
Detect Bitcoin market cycle tops and bottoms using the Pi Cycle indicator - historically accurate for identifying major BTC peaks.
Overview
The Pi Cycle Top Indicator uses the 111-day and 350-day moving averages (multiplied by 2) to identify market cycle tops. When the 111 DMA crosses above the 350 DMA x2, it has historically signaled BTC cycle tops with remarkable accuracy.
Historical Accuracy
| Date | Event | BTC Price | Accuracy |
|---|---|---|---|
| Apr 2013 | Cycle Top | $230 | ✅ Within 3 days |
| Dec 2013 | Cycle Top | $1,150 | ✅ Within 3 days |
| Dec 2017 | Cycle Top | $19,800 | ✅ Within 3 days |
| Apr 2021 | Local Top | $64,000 | ✅ Within 3 days |
| Nov 2021 | Cycle Top | $69,000 | ✅ Within 1 week |
How It Works
Top Detection
Condition: 111 DMA > (350 DMA × 2)
Signal: Extreme overheating - potential cycle top
Bottom Detection (Extended)
Condition: Price < 200 WMA and RSI(Monthly) < 30
Signal: Extreme oversold - potential cycle bottom
K.I.T. Enhancements
Beyond basic Pi Cycle, K.I.T. adds:
- Distance Tracking: How far until crossover?
- Velocity Analysis: Rate of MA convergence
- Time Estimation: "~X days until potential crossover"
- Multi-Asset: Apply to ETH, SOL, other crypto
- Alert System: Notify when approaching danger zone
- Bottom Indicator: Extended version for bottoms
- Confidence Score: Based on convergence pattern
Usage
import { getPiCycleStatus } from 'kit/skills/pi-cycle';
const status = await getPiCycleStatus('BTCUSD');
console.log(status);
// {
// symbol: 'BTCUSD',
// ma111: 68500,
// ma350x2: 72000,
// distance: -4.86%, // Negative = not crossed
// velocity: 0.5%/day, // Rate of convergence
// daysToConvergence: 10,
// signal: 'Approaching',
// riskLevel: 'High',
// historicalContext: 'Similar to Nov 2021 pattern'
// }
What ships with it
2 files 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.
- 7d ago First seen · 119 lines · 0 tokens per session scan A ff7b1bfa0873
pi-cycle 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 883 tokens. A static security scan graded it A with 0 findings. It is 100% identical to pi-cycle, differing in 0 lines, and is treated as a copy.
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