360 Secure SkillHub
360 安全技能中心

stock-direction-signals

针对单个美股股票或指数代理,运行九项付费数据读取(行情、日线图、RSI、MACD、新闻情绪、财报、Twitter/X、Reddit 与宏观),融合成含方向、置信度、催化剂和失效风险的研究简报。通过 MetaMask Agent Wallet 以 USDC 支付,需先试运行查看报价。

selat-dev
selat-dev
热度 21.75
最近更新 2026-08-12 11:35:21
分类:数据依赖:代码执行 / 读写文件 / 第三方 API应用场景:市场分析 / 报告撰写 / 财务 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add stock-signal
Metadata
name
stock-direction-signals
description
Directional research brief on a US stock for agents on a MetaMask Agent Wallet — use when asked "is NVDA bullish or bearish right now", "directional read on AAPL", "is MAG7 sentiment turning", "what do the chart, news, and social say about AMD", "signal brief on SPY". Nine paid reads — quote, daily chart, RSI, MACD, news sentiment, earnings, Twitter/X chatter, Reddit threads, macro regime — fused into a bullish / bearish / mixed / insufficient-data brief with confidence, catalysts, and invalidation risks. Research only: never order execution, never financial advice. Pays in USDC from the user's own self-custodial MetaMask Agent Wallet; every signature stays in the wallet's mm CLI; no API keys. A run is nine purchases, so always dry-run first to see the live quoted total.
version
1.0.0
metadata
{"openclaw":{"emoji":"📈","homepage":"https://github.com/SELAT-AI/selat-metamask-skills/tree/main/skills/stock-direction-signals","requires":{"bins":["python3"],"anyBins":["mm","npm"]},"install":[{"kind":"node","package":"@metamask/agent-wallet","bins":["mm"]}]}}

stock-direction-signals

Directional research on one US equity ticker or index proxy (MAG7, semiconductor and AI-infrastructure names, tokenized-stock watchlists, SPY/QQQ) for an agent on a MetaMask Agent Wallet. It runs a declarative manifest of nine paid reads from a fixed provider filter — market quote, daily chart, RSI, MACD, news sentiment, earnings history, Twitter/X chatter, Reddit threads, and macro regime data — and the agent fuses them into one brief: verdict (bullish / bearish / mixed / insufficient data), confidence, the technical setup, catalysts, social sentiment, macro backdrop, and what would invalidate the read. Research only — it never places orders and its output is never financial advice.

It wraps the stock-direction-signals manifest from SELAT-AI/selat-metamask-skills, and like selat-capabilities-for-metamask it needs no selat CLI and no SELAT plugin — the engine is the MetaMask Agent Wallet CLI (mm) plus the upstream repo's stdlib-only scripts. SELAT is the catalog and payment router, used keylessly; custody stays with the wallet.

Cost — read this first

  • A run is a pipeline, not a menu: nine paid purchases, not one. Always dry-run first and show the user the live quoted total before executing.
  • Every read is real USDC from the user's own self-custodial MetaMask Agent Wallet and its Circle Gateway balance. SELAT never holds keys or funds; every signature goes through the mm CLI.
  • Prices live in the live 402 quotes and the manifest's caps, not here — the dry run prints the real quoted total; don't restate figures from memory.
  • The manifest carries its own full-run spending cap, enforced by the runner; the Gateway deposit is the hard wallet-level cap above that.
  • Non-advisory, always. The brief can support a bullish or bearish thesis but is research with sources, never advice, a prediction, or a signal to execute. If the user asks to trade on the result, decline that part — this skill buys data only.
  • Never ask for, paste, or handle a private key.

Step 0 — get the tooling (free, no funds)

No selat CLI needed. Install the MetaMask Agent Wallet CLI if mm isn't on PATH, then fetch the upstream skills (text plus stdlib-only scripts):

mm --version || npm install -g @metamask/agent-wallet@latest
npx skills add SELAT-AI/selat-metamask-skills

Installing creates nothing money-related. The upstream repo is a prototype from a live 2026-08 integration spike — proven on mainnet, not yet hardened; review before large budgets.

Step 1 — dry run first, before any wallet setup

Do this before authenticating a wallet or asking the user to fund anything. The dry run quotes all nine steps for free — nothing is signed:

python3 skills/selat-purchasing/scripts/run_manifest.py \
  skills/stock-direction-signals/manifest.json \
  --param ticker=NVDA --dry-run

Show the user the quoted per-step prices and the total, and get their OK before wallet setup. If they decline, stop — nothing has been spent.

Step 2 — wallet setup (only after the user opts in)

mm doctor
python3 skills/selat-purchasing/scripts/eco_fund.py <usdc-amount>

Funding gotcha: each mm sign-in method (Google, email, MetaMask Mobile QR) loads a different wallet address — fund the wallet of the sign-in method the agent actually uses, and keep using that method. Wallet-escalated approvals arrive on that method's channel (email link, or push for Mobile QR); an approval that lands after a quote expires must be discarded and re-quoted.

Step 3 — run

python3 skills/selat-purchasing/scripts/run_manifest.py \
  skills/stock-direction-signals/manifest.json \
  --param ticker=NVDA \
  --param company=NVIDIA \
  --param "twitter_query=\$NVDA OR NVIDIA OR Blackwell" \
  --param "reddit_query=NVDA NVIDIA Blackwell stock" \
  --yes
Param Steers Feeds these reads
ticker The equity or index proxy (required — never let a default research the wrong company). quote, chart, RSI, MACD, news, earnings, macro
company Company/product names for better recall (defaults to the ticker). news sentiment
twitter_query Cashtag + company/product terms (defaults to the cashtag). Twitter/X chatter
reddit_query Reddit search terms (defaults to " stock"). Reddit threads

Every step returns raw JSON — the synthesis is your job: score social tone, intensity, and engagement yourself (the reads return raw posts, not sentiment scores), weight Reddit for recency and cross-community repetition, then write the brief — verdict, confidence, technicals, catalysts, social sentiment, macro regime, contrarian risks, and what would invalidate the call. Relay it in plain language with what the run actually cost (python3 skills/selat-purchasing/scripts/spend_report.py); keep raw JSON and merchant URLs out of it. For multiple tickers, dry-run and run per ticker.

Why this is safe to install

  • This wrapper is text-only — installing it writes one markdown file. The manifest it runs is declarative JSON; the runner scripts are Python standard library only and never touch key material.
  • The wallet stays the authority: every signature and transaction goes through the mm CLI, and payments are quote-pinned through the SELAT router (the EIP-712 domain is always the router's, never a merchant's).
  • Spend is triple-capped: per-step and full-run caps in the manifest, enforced by the runner, under the Gateway deposit as the hard wallet cap. A refused or expired quote charges nothing.
  • The manifest pins a fixed provider filter — the agent must not substitute other catalog merchants into this skill.

Beyond this skill

For open-ended capability buying on the same wallet and tooling (web search, scraping, enrichment, perp funding rates, prediction-market data), use selat-capabilities-for-metamask. The other wrappers in this repo run vetted selat-skills recipes via the selat CLI — a vetted selat-skills variant of this same skill exists there too (SELAT-AI/selat-skills#64) for agents on a Circle Agent Wallet.

Docs: https://github.com/SELAT-AI/selat-metamask-skills