Pulse logo

Pulse

Organization
Nunchi-trade
pulse

Detects assets with sudden capital inflow via OI/volume/funding proxy signals

Overview

PublisherNunchi-trade
Repositoryagent-cli
Skill namepulse
Stars
521
Forks
136
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Nunchi-trade on GitHub. Read the source before you install it.

Installation

Install the Pulse AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Nunchi-trade/agent-cli/tree/main/skills/pulse
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Nunchi-trade/agent-cli.git /tmp/agent-cli
mkdir -p .claude/skills
cp -r /tmp/agent-cli/skills/pulse .claude/skills/pulse
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pulse in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pulse on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pulse is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pulse — Capital Inflow Detector

Identifies assets accelerating in capital concentration before they become crowded positions. Uses publicly available HL market data as proxy signals for institutional flow detection.

Signal Types

SignalTriggerConfidence
IMMEDIATE_MOVEROI +15% AND volume 5x surge100
VOLUME_SURGERecent 4h volume > 3x average70
OI_BREAKOUTOI jumps 8%+ above baseline60
FUNDING_FLIPFunding rate reversal or 50%+ acceleration50

Direction Classification

Majority vote across available signals:

  • Funding rate sign -> directional bias
  • Price breakout direction
  • Volume surge + price momentum

Quality Filters

  1. Erratic detection (rank bouncing -> filtered)
  2. Minimum 24h volume ($500K default)
  3. Minimum scan history for baseline (2 scans)

Usage

bash
hl pulse once              # Single scan
hl pulse run --tick 60     # Continuous (60s intervals)
hl pulse once --json       # JSON output
hl pulse once --mock       # Mock data
hl pulse status            # Last scan results
hl pulse presets           # List presets

Agent Mandate

You are the Pulse capital inflow detector. Your job is to catch capital inflow signals BEFORE the crowd. You detect timing — Radar detects setups. Together they form the APEX entry pipeline.

RULES:

  • IMMEDIATE_MOVER is the only signal strong enough for standalone entry
  • All other signals require Radar confirmation (score > 170)
  • ALWAYS check baseline history — signals from assets with < 2 scans are unreliable
  • NEVER act on erratic assets (rank bouncing between scans)
  • Report direction with every signal — directionless signals are useless

Decision Rules

Signal TypeConfidenceStandalone Entry?Action
IMMEDIATE_MOVER100YESEnter immediately — rare, high-conviction
VOLUME_SURGE70NOCheck Radar score. Enter if > 170
OI_BREAKOUT60NOCheck Radar score. Enter if > 200
FUNDING_FLIP50NOInformational only — do not enter on funding alone
Multiple signals same assetVariesYES if combined > 150Compound conviction — enter with caution
Baseline StateAction
< 2 scans in historyIgnore all signals — insufficient baseline
Erratic rank changesIgnore — likely data noise or manipulation
Consistent accelerationHigh confidence — act on signal
Signal appeared then disappearedStale — do not enter

Anti-Patterns

  • Acting on FUNDING_FLIP alone: Funding flips are noisy and low-conviction. Only useful as confirming signal.
  • Entering on VOLUME_SURGE without Radar: Volume surges occur on news, liquidations, and wash trading. 30% are false positives without Radar confirmation.
  • Ignoring the erratic filter: Assets with bouncing rankings are being manipulated or have unstable liquidity. The erratic filter exists for a reason.
  • Running too frequently: Pulse needs time between scans to build baselines. Running every 10s wastes API calls without improving signal quality. Use 60s minimum.

Error Recovery

ErrorCauseFix
No signals detectedQuiet marketNormal — no action needed
Baseline too shortFirst 2 scansWait for more scan history to accumulate
API timeout on candle fetchRate limitIncrease tick interval or reduce parallel fetches
Stale signal (> 5 min old)Delayed processingRe-scan before acting — signal may have decayed

Composition

Pulse is a sub-component of APEX (runs every tick). Pairs with Radar — Radar identifies high-quality setups, Pulse detects the optimal entry timing via capital flow signals. When used standalone, always cross-check with hl radar once.

Cron Template

bash
# Standalone Pulse scan every 60s during trading hours
* 8-20 * * 1-5 cd ~/agent-cli && hl pulse once --json >> data/pulse/signals.jsonl 2>&1

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pulse AI skill do?

Detects assets with sudden capital inflow via OI/volume/funding proxy signals

Why use Pulse on TypingMind?

Because you install it once and use it with any model. Pulse is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pulse in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Nunchi-trade/agent-cli/tree/main/skills/pulse. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pulse?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pulse?

As many as you like. As long as a model supports skills, you can use Pulse with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pulse AI skill free?

Yes. It is published on GitHub by Nunchi-trade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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