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Aeon Unlock Monitor

OrganizationPopular
BankrBot
aeon-unlock-monitor

Weekly token unlock tracker ranked by Absorption Ratio (unlock_usd / 7d avg daily volume), not the weak "% of circulating supply" proxy. Per event: cliff vs linear classification, recipient category (team / investor / community / forced), and a one-line market read (priced in / market asleep / fade pump / forced sellers / absorbable). Triggers: "scan upcoming unlocks", "which tokens unlock this week", "supply pressure check", "are unlocks priced in", "FTX/Mt Gox distributions".

Overview

PublisherBankrBot
Repositoryskills
Skill nameaeon-unlock-monitor
Stars
1.2K
Forks
622
Bundled files
1
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 BankrBot on GitHub. Read the source before you install it.

Installation

Install the Aeon Unlock Monitor 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.
  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/BankrBot/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/aeon-unlock-monitor .claude/skills/aeon-unlock-monitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aeon Unlock Monitor 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 Aeon Unlock Monitor 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 Aeon Unlock Monitor 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.

aeon-unlock-monitor

Empirically (Keyrock's 16k+ unlock analysis), ratios > 2.4× strain liquidity and produce measurable drawdown; < 0.5× the market yawns. The skill ranks by ratio first, supply % second, and adds pre-unlock price action to produce a per-event verdict.

Tiers

ratio = unlock_usd_value / 7d_avg_daily_volume

CRISIS     > 2.4×    liquidity cannot absorb without slippage
STRAIN     1.0-2.4×  multiple sessions to digest
DIGESTIBLE 0.3-1.0×  notable but absorbable
TRIVIAL    < 0.3×    background noise

Recipient override: team/investor (cost-basis-zero sellers) bump up one tier; community/staking-rewards bump down. Court-ordered distributions (FTX, Mt. Gox, Celsius) bypass the tier system — always included, labeled forced.

Market read

ReadCondition
priced inToken down > 20% over 30d AND tier ≤ STRAIN. Selling has happened.
market asleepFlat or up over 30d AND tier ≥ STRAIN. Asymmetric downside.
fade pumpUp > 15% over 30d AND tier = CRISIS. Pre-cliff bid-and-dump.
forced sellersCourt-ordered. Legal timeline, not market-driven.
absorbableTRIVIAL/DIGESTIBLE with no recipient flag.

Sources

Tokenomist (primary), DefiLlama unlocks, CryptoRank, DropsTab, CoinGecko for volume + 30d price. Source status emitted in output — DEGRADED if 2+ fail, ERROR only if all fail.

Output

Headline = most-leveraged unlock with its market read. Then tiered groups: CRISIS → STRAIN → DIGESTIBLE → FORCED. Quiet week ships UNLOCK_MONITOR_QUIET with one sentence — supply being calm is itself a signal.

A local state/unlock-monitor-seen.json holds ${ticker}:${unlock_date} keys on a 90-day window for dedup.

Rules

  • Cliff pattern: weakness ~30d prior, vol peak on the date, recovery 10-14 days after. Note explicitly.
  • Linear unlocks rarely produce single-day shocks. Say so when one shows up high.
  • Be direct. "priced in", "market's asleep", "fade the pump". No hedging.

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 Aeon Unlock Monitor AI skill do?

Weekly token unlock tracker ranked by Absorption Ratio (unlock_usd / 7d avg daily volume), not the weak "% of circulating supply" proxy. Per event: cliff vs linear classification, recipient category (team / investor / community / forced), and a one-line market read (priced in / market asleep / fade pump / forced sellers / absorbable). Triggers: "scan upcoming unlocks", "which tokens unlock this week", "supply pressure check", "are unlocks priced in", "FTX/Mt Gox distributions".

Why use Aeon Unlock Monitor on TypingMind?

Because you install it once and use it with any model. Aeon Unlock Monitor 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 Aeon Unlock Monitor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BankrBot/skills/tree/main/aeon-unlock-monitor. 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 Aeon Unlock Monitor?

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 Aeon Unlock Monitor?

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

Is the Aeon Unlock Monitor AI skill free?

It is published on GitHub by BankrBot. Check the repository for licensing terms. 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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