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Intellectia Stock Forecast

作者 MarjorieBroad · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
39
总下载
0
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当前安装
1
版本数
在 OpenClaw 中安装
/install intellectia-stock-forecast-2
功能描述
US Stock AI Trading Assistant | SkillBoss API Hub Stock Forecast — Smart analysis of stock entry/exit points, target price predictions, probability calculati...
使用说明 (SKILL.md)

Stock Forecast (via SkillBoss API Hub)

Single-symbol forecast (yearly predictions) and "Should I Buy?" analysis via SkillBoss API Hub.

Base URL: https://api.skillboss.com/v1

Overview

This skill covers two use cases:

  • Forecast (predictions): Web search for yearly stock price predictions (2026–2035) via SkillBoss API Hub search type
  • Why / Should I buy (analysis): AI chat analysis for buy/sell/hold recommendations via SkillBoss API Hub chat type

When to use this skill

Use this skill when you want to:

  • Get one stock/crypto quote + yearly predictions (2026–2035)
  • Answer why / should I buy for a specific ticker with a structured rationale

How to ask (high hit-rate)

If you want OpenClaw to automatically pick this skill, include:

  • The ticker (e.g. TSLA / AAPL / BTC-USD)
  • Either forecast / prediction (for predictions) or why / should I buy (for analysis)

To force the skill: /skill intellectia-stock-forecast \x3Cyour request>

Copy-ready prompts:

  • "Forecast for TSLA. Show price, probability, profit, and predictions 2026–2035."
  • "Why should I buy TSLA? Give me a buy/sell/hold analysis."
  • "Should I buy AAPL? Give me conclusion, catalysts, analyst rating, and 52-week range."
  • "Get yearly predictions for BTC-USD (crypto)."

Endpoints

Use case SkillBoss type Pilot endpoint
Forecast (predictions 2026–2035) search POST https://api.skillboss.com/v1/pilot
Why / Should I buy analysis chat POST https://api.skillboss.com/v1/pilot

API: Forecast (stock predictions search)

  • Method: POST https://api.skillboss.com/v1/pilot
  • Auth: Authorization: Bearer $SKILLBOSS_API_KEY
  • Body:
    • type: "search" — SkillBoss API Hub web search
    • inputs.query: include ticker + "stock forecast predictions 2026 2027 … 2035"
  • Returns: result (structured search results with prediction data)

Example (cURL)

curl -sS -X POST "https://api.skillboss.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"search","inputs":{"query":"TSLA stock price forecast predictions 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035"},"prefer":"balanced"}'

Example (Python)

python3 - \x3C\x3C'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
    "https://api.skillboss.com/v1/pilot",
    headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
    json={"type": "search", "inputs": {"query": "TSLA stock price forecast predictions 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035"}, "prefer": "balanced"},
    timeout=30)
r.raise_for_status()
results = r.json()["result"]
print(results)
PY

API: Why / Should I buy (AI chat analysis)

  • Method: POST https://api.skillboss.com/v1/pilot
  • Auth: Authorization: Bearer $SKILLBOSS_API_KEY
  • Body:
    • type: "chat" — SkillBoss API Hub LLM analysis (auto-routed)
    • inputs.messages: ask for buy/sell/hold recommendation with catalysts and rating
  • Returns: result.choices[0].message.content

Example (cURL)

curl -sS -X POST "https://api.skillboss.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"chat","inputs":{"messages":[{"role":"user","content":"Should I buy TSLA stock? Provide: conclusion (buy/sell/hold), positive catalysts, negative catalysts, analyst rating, technical analysis, entry point, target price, and 52-week range context."}]},"prefer":"balanced"}'

Example (Python)

python3 - \x3C\x3C'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
    "https://api.skillboss.com/v1/pilot",
    headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
    json={
        "type": "chat",
        "inputs": {"messages": [{"role": "user", "content": "Should I buy TSLA? Give conclusion (buy/sell/hold), positive catalysts, negative catalysts, analyst rating, and technical analysis."}]},
        "prefer": "balanced"
    },
    timeout=30)
r.raise_for_status()
content = r.json()["result"]["choices"][0]["message"]["content"]
print("analysis:", content)
PY

Tool configuration

Tool Purpose
curl One-off POST to SkillBoss API Hub
python3 / requests Scripts; pip install requests

Using this skill in OpenClaw

clawhub install intellectia-stock-forecast

Start a new OpenClaw session, then:

openclaw skills list
openclaw skills info intellectia-stock-forecast
openclaw skills check

Disclaimer and data

  • Disclaimer: The data and analysis from this skill are for informational purposes only and do not constitute financial, investment, or trading advice. Past performance and model predictions are not guarantees of future results. You are solely responsible for your investment decisions; consult a qualified professional before making financial decisions.
  • Data source: Data is retrieved via SkillBoss API Hub web search and AI analysis. Results may vary and are not necessarily real-time. For authoritative real-time data, consult a licensed financial data provider.

Notes

  • Forecast search: One symbol per request; include the full year range in the query for best results.
  • Should I buy: Use chat type; the LLM will provide conclusion and catalysts in structured form. Use prefer: "balanced" for speed or prefer: "quality" for more thorough analysis.
安全使用建议
This skill appears to do what it says (call SkillBoss API for stock forecasts) and the SKILLBOSS_API_KEY credential is appropriate — but metadata inconsistencies are concerning. Before installing: (1) verify the skill's publisher and a trustworthy homepage/source because 'source: unknown' and README references a different install slug; (2) confirm whether SKILLBOSS_API_KEY is actually required by the packaged skill and where/when you'll need to provide it; (3) prefer creating a scoped, rotatable API key (not your primary account key) and monitor its usage; (4) ask the publisher to fix registry metadata (declare required env var and provide a proper install spec) so automated audits can be accurate. If you cannot validate the publisher or the origin, do not install or expose sensitive credentials.
功能分析
Type: OpenClaw Skill Name: intellectia-stock-forecast-2 Version: 1.0.0 The skill is a standard integration for the SkillBoss API Hub, providing stock price forecasts and investment analysis. It uses curl and Python scripts to interact with api.skillboss.com using a dedicated environment variable (SKILLBOSS_API_KEY), with no evidence of data exfiltration, malicious code execution, or harmful prompt injection instructions in SKILL.md.
能力标签
cryptorequires-sensitive-credentials
能力评估
Purpose & Capability
The SKILL.md clearly intends to call https://api.skillboss.com/v1 and requires a SKILLBOSS_API_KEY — that credential is appropriate for the stated purpose. However, the registry metadata provided with the skill (the top-level listing) claims 'Required env vars: none' while SKILL.md's embedded metadata lists requires_env: ["SKILLBOSS_API_KEY"]. This mismatch is an incoherence in packaging that should be resolved.
Instruction Scope
SKILL.md instructs only to call the SkillBoss API (POST /v1/pilot) via curl or python3/requests and to pip-install requests if needed. It does not instruct reading unrelated files, scanning the system, or sending data to other endpoints. The use of SKILLBOSS_API_KEY is explicit in examples.
Install Mechanism
The skill is instruction-only (no install spec in the registry), yet SKILL.md metadata and examples mention 'pip install requests' and provide an install label. The README also references a different install slug ('mar-intellectia-stock-forecast'), indicating inconsistent packaging. There is no automatic installer or downloadable code in the package, so installation behavior depends on external steps and these mismatches reduce trust.
Credentials
Requesting a SKILLBOSS_API_KEY is proportional to the skill's purpose (making authenticated API calls). The concern is the registry omission of that required env var — the skill asks for a secret but the top-level metadata doesn't declare it, which could confuse permission audits or automated checks.
Persistence & Privilege
The skill does not request always:true and doesn't ask to modify system or other skills' configs. It runs as an on-demand skill (user-invocable) and uses normal network calls; autonomous invocation is allowed by platform default but is not combined with other high-risk permissions here.
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 intellectia-stock-forecast-2
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /intellectia-stock-forecast-2 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
v1.0.0
- Initial release of intellectia-stock-forecast skill. - Provides US stock and crypto yearly predictions (2026–2035) via SkillBoss API Hub. - Supports "Should I Buy?" Q&A with buy/sell/hold recommendations and rationale. - Includes API usage instructions, sample cURL and Python scripts, and integration steps for OpenClaw. - Uses `curl` and Python `requests`; requires SKILLBOSS_API_KEY. - Data is for informational purposes only; not financial advice.
元数据
Slug intellectia-stock-forecast-2
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Intellectia Stock Forecast 是什么?

US Stock AI Trading Assistant | SkillBoss API Hub Stock Forecast — Smart analysis of stock entry/exit points, target price predictions, probability calculati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 39 次。

如何安装 Intellectia Stock Forecast?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install intellectia-stock-forecast-2」即可一键安装,无需额外配置。

Intellectia Stock Forecast 是免费的吗?

是的,Intellectia Stock Forecast 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Intellectia Stock Forecast 支持哪些平台?

Intellectia Stock Forecast 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 Intellectia Stock Forecast?

由 MarjorieBroad(@marjoriebroad)开发并维护,当前版本 v1.0.0。

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