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 volume-footprintgit 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/volume-footprint)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/volume-footprint"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/volume-footprint/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/volume-footprint"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/volume-footprint.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 | $0.00324 |
| Opus 5 | $0.00000 | $0.00162 |
| Sonnet 5 | $0.00000 | $0.00065 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
volume-footprint 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 volume-footprint — 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.
What it actually says
Volume Footprint Analysis
Advanced volume analysis at each price level within candles.
Overview
Inspired by TradingView's Pine v6 footprint API (Premium feature), this skill analyzes buy/sell volume at discrete price levels within each bar.
Features
- Footprint Charts: Volume profile within each candle
- Delta Analysis: Buy vs sell volume imbalance
- Point of Control (POC): Highest volume price level per bar
- Value Area: 70% of volume concentration (VAH/VAL)
- Imbalance Detection: Aggressive buying/selling zones
- Absorption Detection: Large orders absorbing price movement
- Volume Clusters: Multi-bar volume accumulation zones
Metrics
- Delta (buy - sell volume)
- Delta %
- Cumulative Delta
- Total volume
- POC price
- Value Area High/Low
- Imbalance ratio
Configuration
footprint:
tickSize: 10 # Ticks per row
method: "time" # time, tick, volume, range
showDelta: true
showPOC: true
showValueArea: true
showImbalance: true
imbalanceRatio: 300 # 3:1 ratio for imbalance
Alerts
- POC break
- Delta divergence
- Volume imbalance detected
- Absorption pattern
Use Cases
- Identify institutional order flow
- Find support/resistance via volume clusters
- Detect hidden buying/selling pressure
- Confirm breakouts with volume
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 · 49 lines · 0 tokens per session scan A f92668c2a3f1
volume-footprint 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 324 tokens. A static security scan graded it A with 0 findings. It is 100% identical to volume-footprint, differing in 0 lines, and is treated as a copy.
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