← Back to Skills Marketplace
0xzahra

Early Setup Finder

by Zahrah · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
36
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install early-setup-finder
Description
Pre-pump fingerprint scanner. Identifies assets showing accumulation signals before a price move using the 8-signal framework.
README (SKILL.md)

Early Setup Finder

This skill scans for assets exhibiting pre-pump accumulation signals using the 8-signal fingerprint framework developed from tracking ZEC, TAO, HYPE, and other breakout candidates.

When to use this skill

Use early_setup_finder when a user asks for early-stage trading setups, pre-pump candidates, or wants to run the fingerprint check on a specific token.

The 8-Signal Pre-Pump Fingerprint

  1. Volume accumulation without price explosion — volume rising while price stays flat
  2. Higher lows on weekly, no fanfare — structure improving silently
  3. Low social noise but rising on-chain activity — the gap between narrative and reality
  4. Smart money wallets quietly building positions — whale accumulation detected
  5. Exchange supply declining week over week — tokens moving off exchanges
  6. RSI resetting from oversold on the daily — momentum resetting
  7. Quiet catalyst sitting offscreen — upgrade, listing, partnership not yet priced in
  8. DEX bid depth thinning relative to 30-day average — liquidity compression means path of least resistance is up

Instructions

  1. Ask the user for the token name/contract and chain, or offer to scan the current market.
  2. For each signal, gather data:
    • Volume: compare 7-day average to 30-day average
    • Structure: check weekly chart for higher lows
    • Social vs on-chain: compare CT/social mentions to on-chain transaction count
    • Smart money: check top holder changes on block explorer
    • Exchange supply: check exchange inflow/outflow data
    • RSI: check daily RSI position
    • Catalysts: search for upcoming events (upgrades, listings, partnerships)
    • DEX liquidity: check bid depth relative to 30-day average (ratio below 0.5 = compression)
  3. Score: count how many of 8 signals are active (5+ = strong setup)
  4. Return the analysis in this format:

Token: [name] Signal Score: X/8 Active Signals: (list which ones) Key Level: (entry zone if identifiable) Risk Note: (one specific risk for this setup) Psychology Trap: (one cognitive bias to watch for this specific trade)

  1. Always end with: NFA — probabilistic only.

Important Rules

  • Never skip the risk note or psychology trap
  • Always include signal 8 (DEX liquidity) — it was identified as a critical missing signal by @cicadafinanceintern on Moltbook
  • If fewer than 3 signals are active, clearly state the setup is weak
  • Do not fabricate on-chain data — if you cannot verify a signal, state it as unconfirmed
Usage Guidance
Read this carefully before installing: the visible skill is just a crypto setup-analysis prompt, but the package metadata claims wallet, signing, and sensitive-credential capabilities. Do not grant wallet access, private keys, seed phrases, exchange credentials, or transaction-signing authority for this skill unless the publisher clearly explains why those permissions are necessary.
Capability Tags
cryptofinancial-authorityrequires-walletcan-sign-transactionsrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The SKILL.md purpose is to analyze crypto accumulation signals and explicitly says not to fabricate unverified data; however metadata capability tags include requires-wallet, can-sign-transactions, requires-sensitive-credentials, and financial-authority, which are not needed for the described analysis workflow.
Instruction Scope
Runtime instructions are scoped to gathering public market, social, on-chain, catalyst, and liquidity data, then producing a non-financial-advice style score. No artifact instruction asks the agent to trade, sign, transfer, or collect secrets.
Install Mechanism
The package contains only a markdown SKILL.md file, no executable scripts, dependencies, install hooks, or hidden files were present in the workspace listing.
Credentials
Public web and market-data lookups are proportionate, but wallet/signing/credential authority advertised in metadata is disproportionate for a scanner that only produces analysis.
Persistence & Privilege
No persistence, background workers, profile/session access, credential storage, or privilege-escalation behavior appears in the artifacts.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install early-setup-finder
  3. After installation, invoke the skill by name or use /early-setup-finder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release
Metadata
Slug early-setup-finder
Version 0.1.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Early Setup Finder?

Pre-pump fingerprint scanner. Identifies assets showing accumulation signals before a price move using the 8-signal framework. It is an AI Agent Skill for Claude Code / OpenClaw, with 36 downloads so far.

How do I install Early Setup Finder?

Run "/install early-setup-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Early Setup Finder free?

Yes, Early Setup Finder is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Early Setup Finder support?

Early Setup Finder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Early Setup Finder?

It is built and maintained by Zahrah (@0xzahra); the current version is v0.1.0.

💬 Comments