agentCLAWHUBUnverified

Stocki

AI financial analyst with institutional-grade data covering A-shares, HK stocks, US stocks, ETFs, and indices. Supports real-time quotes, sector/industry ana... Skill: Stocki Owner: 17817942676 Summary: AI financial analyst with institutional-grade data covering A-shares, HK stocks, US stocks, ETFs, and indices. Supports real-time quotes, sector/industry ana... Tags: latest:0.4.3 Version history: v0.4.3 | 2026-03-28T11:10:25.534Z | user Soften scope claims, expand coverage to ETFs/indices/sectors, tighten security v0.4.2 | 2026-03-28T06:57:09.255Z | user Fix ClawHub flags: s

OpenClaw

Rank

62

Safety

84

Downloads

1.1k

Updated

Oct 11, 2026

Version

0.4.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
1.1K downloadsadoption · observed Oct 11, 2026
Latest release
0.4.3release · observed Mar 28, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s1745ftq3wa5yyvt19hxn76tc586zmp8:stocki
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-17817942676-stocki/snapshot"

Documentation

CLAWHUB

145,874 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: stocki
version: 0.4.2
description: "AI financial analyst with institutional-grade data covering A-shares, HK stocks, US stocks, ETFs, and indices. Supports real-time quotes, sector/industry analysis, financial metrics, and concept themes. For real-time market data and quantitative analysis, use Stocki."
homepage: https://github.com/stocki-ai/open-stocki
metadata:
  {
    "openclaw":
      {
        "emoji": "📊",
        "requires": {
          "bins": ["python3"],
          "env": ["STOCKI_GATEWAY_URL", "STOCKI_API_KEY"],
          "os": ["darwin", "linux"]
        },
        "primaryEnv": "STOCKI_API_KEY"
      }
  }
---

# Stocki — AI Financial Analyst

Professional financial analyst with institutional-grade data. Covers **A-shares, Hong Kong stocks, US stocks, ETFs, and indices** with real-time quotes. Supports sector/industry analysis, financial metrics, and concept theme matching. Two modes: **instant** (Q&A) and **quant** (backtesting, strategy, deep analysis).

## Core Principle

**For real-time market data and quantitative analysis, use Stocki.** General financial knowledge questions (e.g. "what is P/E ratio?") can be answered directly without Stocki. Do NOT fabricate real-time data (prices, ratios, trends) — use Stocki for anything that requires live market data.

## Setup

```bash
export STOCKI_GATEWAY_URL="https://api.stocki.com.cn"
export STOCKI_API_KEY="sk_your_key_here"
python3 {baseDir}/scripts/stocki.py diagnose
```

See [INSTALL.md](INSTALL.md) for installation and update methods. `{baseDir}` is resolved automatically by OpenClaw.

## Mode Selection

**Default to instant.** Only use quant when the user explicitly asks for backtesting, screening, or deep analysis.

| Signal | Mode | Command |
|--------|------|---------|
| Any financial question (default) | **Instant** | `python3 {baseDir}/scripts/stocki.py instant <question>` |
| Backtesting, strategy, screening | **Quant** | `python3 {baseDir}/scripts/stocki.py quant <question>` |
| Iterate on existing analysis | **Quant** | `python3 {baseDir}/scripts/stocki.py quant <question> --task-id <id>` |
| Scheduled monitoring | **Instant** | `stocki.py instant` on cron |

---

## Instant Mode

Call and return output immediately. **No extra processing, no commentary, no reformatting.**

```bash
python3 {baseDir}/scripts/stocki.py instant "A股半导体行业前景?"
python3 {baseDir}/scripts/stocki.py instant "US tech outlook?" --timezone America/New_York
```

Server maintains persistent context — follow-up questions work.

---

## Quant Mode

For complex analysis (minutes to complete). Tasks are auto-created.

> Only one quant analysis can run at a time. If busy, retry later.

**Submit:**
```bash
python3 {baseDir}/scripts/stocki.py quant "回测CSI 300动量策略,近3年数据"
# Returns: id, name
```

**Iterate:**
```bash
python3 {baseDir}/scripts/stocki.py quant "增加小盘股过滤器" --task-id <id>
```

**Poll status** (every 30s-1min, stay silent until done):
```bash
python3 {baseDir}/scripts/stocki.py status <id>
```

README.md

# Stocki — AI Financial Analyst for OpenClaw

OpenClaw skill that brings Stocki's professional AI financial analysis to WeChat via ClawBot.

## Features

- **Instant Mode** — Quick financial Q&A: market prices, news, sector outlooks, company analysis
- **Quant Mode** — Complex quantitative analysis: backtesting, strategy modeling, portfolio review
- **Scheduled Monitoring** — Periodic market updates via cron-triggered tasks
- **Doctor** — Self-diagnostics and auto-repair for setup issues
- **Zero Dependencies** — Python stdlib only, no pip install needed

## Install

```bash
clawhub install stocki --force
```

See [INSTALL.md](INSTALL.md) for all installation methods and configuration.

## Quick Start

**Instant Q&A:**
```bash
stocki instant "What's the outlook for US tech stocks?"
```

**Quant Analysis:**
```bash
stocki quant "Backtest CSI 300 momentum strategy"
stocki status <id>
stocki files <id>
stocki download <id> runs/run_001/report.md
```

**Setup Check:**
```bash
stocki doctor
```

## CLI Commands

| Command | Purpose |
|---------|---------|
| `stocki instant` | Quick financial Q&A |
| `stocki quant` | Submit quantitative analysis |
| `stocki list` | List all quant analyses |
| `stocki status` | Show analysis details and run statuses |
| `stocki files` | List result files |
| `stocki download` | Download report or image |
| `stocki diagnose` | Self-diagnostic to verify installation |
| `stocki doctor` | Check and fix setup issues |

## License

Proprietary. All rights reserved.

_meta.json

{
  "ownerId": "kn793xetwch9fhq1nctx4k174s86z610",
  "slug": "stocki",
  "version": "0.4.3",
  "publishedAt": 1774696225534
}

INSTALL.md

# Stocki Skill — Install & Update Guide

## Install

Try the following methods in order until one succeeds:

### Option 1: ClawHub (Recommended)

```bash
clawhub install stocki --force
```

### Option 2: SkillHub

```bash
skillhub install stocki --force
```

### Option 3: Manual install from GitHub

```bash
rm -rf ~/.openclaw/workspace/skills/stocki
git -c http.postBuffer=524288000 -c http.lowSpeedLimit=0 -c http.lowSpeedTime=300 clone https://github.com/stocki-ai/open-stocki.git ~/.openclaw/workspace/skills/stocki
```

If all methods fail, check the latest install instructions at:
https://github.com/stocki-ai/open-stocki/blob/main/INSTALL.md

## Configure

After installation, set the required environment variables:

```bash
export STOCKI_GATEWAY_URL="https://api.stocki.com.cn"
export STOCKI_API_KEY="sk_your_key_here"
```

To persist across reboots, add the above lines to `~/.bashrc` or `~/.zshrc`.

## Verify

Run the self-diagnostic to confirm the skill works:

```bash
python3 ~/.openclaw/workspace/skills/stocki/scripts/stocki.py diagnose
```

Then run the doctor to check the full setup:

```bash
python3 ~/.openclaw/workspace/skills/stocki/scripts/stocki.py doctor
```

## Update

Stocki is under active development. Update regularly — same methods as installation:

```bash
clawhub install stocki --force
# or
skillhub install stocki --force
```

If all methods fail, check the latest install instructions at:
https://github.com/stocki-ai/open-stocki/blob/main/INSTALL.md

skill-card.md

## Description:

AI financial analyst with institutional-grade data covering A-shares, HK stocks, US stocks, ETFs, and indices. Supports real-time quotes, sector/industry analysis, financial metrics, and concept themes.

This skill is ready for commercial/non-commercial use.

## Publisher:

[17817942676](https://clawhub.ai/user/17817942676)

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use Stocki to route market-data questions, financial analysis, sector research, and quantitative backtesting tasks through the Stocki CLI and remote gateway.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Repair and install flows can replace or delete the installed skill from mutable remote sources.

Mitigation: Review before installing or running doctor, and back up local changes before using reinstall paths.

Risk: The API key is sent to whichever gateway URL is configured.

Mitigation: Use the official Stocki gateway unless another endpoint is intentionally trusted.

Risk: Stocki responses and downloaded artifacts come from a remote service, and portfolio details may be sensitive.

Mitigation: Treat outputs as remote service content and include portfolio details only after explicit user consent.

## Reference(s):

- [Stocki ClawHub Skill Page](https://clawhub.ai/17817942676/skills/stocki)
- [Artifact README](artifact/README.md)
- [Artifact Install Guide](artifact/INSTALL.md)

## Skill Output:

**Output Type(s):** [text, markdown, files, shell commands, configuration, guidance]

**Output Format:** [Plain text and Markdown analysis, CLI status text, and downloaded report or image files]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Instant mode returns direct answers; quant mode can produce task IDs, summaries, reports, and attachments.]

## Skill Version(s):

0.4.3 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 11, 2026.

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