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
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- 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.
- 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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"events": [
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}
]
}Record generated Oct 11, 2026.
