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Early Setup Finder

作者 Zahrah · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install early-setup-finder
功能描述
Pre-pump fingerprint scanner. Identifies assets showing accumulation signals before a price move using the 8-signal framework.
使用说明 (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
安全使用建议
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.
能力标签
cryptofinancial-authorityrequires-walletcan-sign-transactionsrequires-sensitive-credentials
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install early-setup-finder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /early-setup-finder 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release
元数据
Slug early-setup-finder
版本 0.1.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Early Setup Finder 是什么?

Pre-pump fingerprint scanner. Identifies assets showing accumulation signals before a price move using the 8-signal framework. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 36 次。

如何安装 Early Setup Finder?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install early-setup-finder」即可一键安装,无需额外配置。

Early Setup Finder 是免费的吗?

是的,Early Setup Finder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Early Setup Finder 支持哪些平台?

Early Setup Finder 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Early Setup Finder?

由 Zahrah(@0xzahra)开发并维护,当前版本 v0.1.0。

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