# Send Stock Copilot Pro to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "stock-copilot-pro",
    "name": "Stock Copilot Pro",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/buxibuxi/stock-copilot-pro",
    "canonicalUrl": "https://clawhub.ai/buxibuxi/stock-copilot-pro",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/stock-copilot-pro",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=stock-copilot-pro",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "config/openclaw-cron.example.json",
      "config/watchlist.example.json",
      "config/watchlist.json",
      "references/metrics-and-signals.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "stock-copilot-pro",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T06:18:33.350Z",
      "expiresAt": "2026-05-07T06:18:33.350Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=stock-copilot-pro",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=stock-copilot-pro",
        "contentDisposition": "attachment; filename=\"stock-copilot-pro-0.3.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "stock-copilot-pro"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/stock-copilot-pro"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/stock-copilot-pro",
    "downloadUrl": "https://openagent3.xyz/downloads/stock-copilot-pro",
    "agentUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent",
    "manifestUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/stock-copilot-pro/agent.md"
  }
}
```
## Documentation

### Stock Copilot Pro

Global Multi-Source Stock Analysis with QVeris.

### SEO Keywords

OpenClaw, stock analysis skill, AI stock copilot, China A-shares, Hong Kong stocks, US stocks, quantitative analysis, fundamental analysis, technical analysis, sentiment analysis, industry radar, morning evening brief, watchlist, portfolio monitoring, QVeris API, THS iFinD, Caidazi, Alpha Vantage, Finnhub, X sentiment, investment research assistant

### Supported Capabilities

Single-stock analysis (analyze): valuation, quality, technicals, sentiment, risk/timing
Multi-stock comparison (compare): cross-symbol ranking and portfolio-level view
Watchlist/holdings management (watch): list/add/remove for holdings and watchlist
Morning/Evening brief (brief): holdings-focused daily actionable briefing
Industry hot-topic radar (radar): multi-source topic aggregation for investable themes
Multi-format output: markdown, json, chat
OpenClaw LLM-ready flow: structured data in code + guided narrative in SKILL.md

### Data Sources

Core MCP/API gateway: qveris.ai (QVERIS_API_KEY)
CN/HK quote and fundamentals:

ths_ifind.real_time_quotation
ths_ifind.financial_statements
ths_ifind.company_basics
ths_ifind.history_quotation


CN/HK news and research:

caidazi.news.query
caidazi.report.query
caidazi.search.hybrid.list
caidazi.search.hybrid_v2.query


Global news sentiment:

alpha_news_sentiment
finnhub.news


X/Twitter sentiment and hot topics:

qveris_social.x_domain_hot_topics
qveris_social.x_domain_hot_events
qveris_social.x_domain_new_posts
x_developer.2.tweets.search.recent

### What This Skill Does

Stock Copilot Pro performs end-to-end stock analysis with five data domains:

Market quote / trading context
Fundamental metrics
Technical signals (RSI/MACD/MA)
News and sentiment
X sentiment

It then generates a data-rich analyst report with:

value-investing scorecard
event-timing anti-chasing classification
safety-margin estimate
thesis-driven investment framework (drivers/risks/scenarios/KPIs)
multi-style playbooks (value/balanced/growth/trading)
event radar with candidate ideas from news and X
scenario-based recommendations
standard readable output (default) + optional full evidence trace (--evidence)

### Key Advantages

Deterministic tool routing via references/tool-chains.json
Evolution v2 parameter-template memory to reduce recurring parameter errors
Strong fallback strategy across providers and markets
US/HK/CN market-aware symbol handling
Structured outputs for both analyst reading and machine ingestion
Safety-first handling of secrets and runtime state

### Core Workflow

Resolve user input to symbol + market (supports company-name aliases, e.g. Chinese name -> 600089.SH).


Search tools by capability (quote, fundamentals, indicators, sentiment, X sentiment).


Route by hardcoded tool chains first (market-aware), then fallback generic capability search.

For CN/HK sentiment, prioritize caidazi channels (report/news/wechat).
For CN/HK fundamentals, prioritize THS financial statements (income/balance sheet/cash flow), then fallback to company basics.



Before execution, try evolution parameter templates; if unavailable, use default param builder.


Run quality checks:

Missing key fields
Data recency
Cross-source inconsistency



Produce analyst report with:

composite score
safety margin
event-driven vs pullback-risk timing classification
structured thesis (driver/risk/scenario/KPI)
event radar (timeline/theme) and candidate ideas
style-specific execution playbooks
market scenario suggestions
optional parsed/raw evidence sections when --evidence is enabled



Preference routing (public audience default):

If no preference flags are provided, script returns a questionnaire first.
You can skip this with --skip-questionnaire.

### Command Surface

Primary script: scripts/stock_copilot_pro.mjs

Analyze one symbol:

node scripts/stock_copilot_pro.mjs analyze --symbol AAPL --market US --mode comprehensive
node scripts/stock_copilot_pro.mjs analyze --symbol "<company-name>" --mode comprehensive


Compare multiple symbols:

node scripts/stock_copilot_pro.mjs compare --symbols AAPL,MSFT --market US --mode comprehensive


Manage watchlist:

node scripts/stock_copilot_pro.mjs watch --action list
node scripts/stock_copilot_pro.mjs watch --action add --bucket holdings --symbol AAPL --market US
node scripts/stock_copilot_pro.mjs watch --action remove --bucket watchlist --symbol 0700.HK --market HK


Generate brief:

node scripts/stock_copilot_pro.mjs brief --type morning --format chat
node scripts/stock_copilot_pro.mjs brief --type evening --format markdown


Run industry radar:

node scripts/stock_copilot_pro.mjs radar --market GLOBAL --limit 10

### OpenClaw scheduled tasks (morning/evening brief and radar)

To set up morning brief, evening brief, or daily radar in OpenClaw, use only the official OpenClaw cron format and create jobs via the CLI or Gateway cron tool. Do not edit ~/.openclaw/cron/jobs.json directly.

Reference: the jobs array in config/openclaw-cron.example.json; each item is one cron.add payload (fields: name, schedule: { kind, expr, tz }, sessionTarget: "isolated", payload: { kind: "agentTurn", message: "..." }, delivery).
Example (morning brief): openclaw cron add --name "Stock morning brief" --cron "0 9 * * 1-5" --tz Asia/Shanghai --session isolated --message "Use stock-copilot-pro to generate morning brief: run brief --type morning --max-items 8 --format chat" --announce. To deliver to Feishu, add --channel feishu --to <group-or-chat-id>.
Incorrect: using the legacy example format (e.g. schedule as string, command, delivery.channels array) or pasting the example into jobs.json will cause Gateway parse failure or crash.

### CN/HK Coverage Details

Company-name input is supported and auto-resolved to market + symbol for common names.
Sentiment path prioritizes caidazi (research reports, news, wechat/public-account channels).
Fundamentals path prioritizes THS financial statements endpoints, and always calls THS company basics for profile backfill:

revenue
netProfit
totalAssets
totalLiabilities
operatingCashflow
industry
mainBusiness
tags

### Output Modes

markdown (default): human-readable report
json: machine-readable merged payload
chat: segmented chat-friendly output for messaging apps
summary-first: compact output style via --summary-only

### Preference & Event Options

Preference flags:

--horizon short|mid|long
--risk low|mid|high
--style value|balanced|growth|trading
--actionable (include execution-oriented rules)
--skip-questionnaire (force analysis without preference Q&A)



Event radar flags:

--event-window-days 7|14|30
--event-universe global|same_market
--event-view timeline|theme

### Dynamic Evolution

Runtime learning state is stored in .evolution/tool-evolution.json.
One successful execution can update tool parameter templates.
Evolution stores param_templates and sample_successful_params for reuse.
Evolution does not decide tool priority; tool priority is controlled by tool-chains.json.
Use --no-evolution to disable loading/saving runtime learning state.

### Safety and Disclosure

Uses only QVERIS_API_KEY.
Calls only QVeris APIs over HTTPS.
full_content_file_url fetching is kept enabled for data completeness, but only HTTPS URLs under qveris.ai are allowed.
Does not store API keys in logs, reports, or evolution state.
Runtime persistence is limited to .evolution/tool-evolution.json (metadata + parameter templates only).
Watchlist state is stored at config/watchlist.json (bootstrap from config/watchlist.example.json).
OpenClaw scheduled tasks: see config/openclaw-cron.example.json. Create jobs with the official format (schedule.kind, payload.kind, sessionTarget, etc.) via openclaw cron add or the Gateway cron tool; do not paste or merge the example JSON into ~/.openclaw/cron/jobs.json (schema mismatch can cause Gateway parse failure or crash). Set delivery.channel and delivery.to for your channel (e.g. feishu).
External source URLs remain hidden by default; only shown when --include-source-urls is explicitly enabled.
No package installation or arbitrary command execution is performed by this skill script.
Research-only output. Not investment advice.

### Single Stock Analysis Guide

When analyzing analyze output, act as a senior buy-side analyst and deliver a professional but not overlong report.

### Required Output (7 Sections)

Data Snapshot (required)

Start with a compact metrics table built from data fields.
Include at least: price/change, marketCap, PE/PB, profitMargin, revenue, netProfit, RSI, 52W range.
Example format:

| Metric | Value |
|--------|-------|
| Price | $264.58 (+1.54%) |
| Market Cap | $3.89T |
| P/E | 33.45 |
| P/B | 57.97 |
| Profit Margin | 27% |
| Revenue (TTM) | $394B |
| Net Profit | $99.8B |
| RSI | 58.3 |
| 52W Range | $164 - $270 |

Key view (30 seconds)

One-line conclusion: buy/hold/avoid + key reason.



Investment thesis

Bull case: 2 points (growth driver, moat/catalyst)
Bear case: 2 points (valuation/risk/timing)
Final balance: what dominates now.



Valuation and key levels

PE/PB vs peer or history percentile (cheap/fair/expensive)
Key levels: current price, support, resistance, stop-loss reference



Recommendation (required)

Different advice by position status:

No position
Light position
Heavy position / underwater


Each suggestion must include concrete trigger/price/condition.



Risk monitor

Top 2-3 risks + invalidation condition (what proves thesis wrong).



Data Sources (required)

End with a source disclosure line showing QVeris attribution and data channels actually used.
Include generation timestamp and list of source/tool names from payload metadata such as dataSources, meta.sourceStats, or data.*.selectedTool.
Example format:

> Data powered by [QVeris](https://qveris.ai) | Sources: Alpha Vantage (quote/fundamentals), Finnhub (news sentiment), X/Twitter (social sentiment) | Generated at 2026-02-22T13:00:00Z

### Quality Bar

Avoid data dumping; each key number must include interpretation.
Every numeric claim must be grounded in actual payload values; do not fabricate numbers.
Keep concise but complete (target 250-500 characters for narrative).
Must include actionable guidance and time window.
Ticker and technical terms in English.

### Daily Brief Analysis Guide

When analyzing brief output, generate an actionable morning/evening briefing for OpenClaw conversation.

### Morning Brief

Market overview: risk-on/off + key overnight move + today's tone, plus an index snapshot table from marketOverview.indices (index name, price, % change, timestamp)
Holdings check: holdings that need action first, with per-holding price/% change/grade when available
Radar relevance: which radar themes impact holdings
Today's plan (required): specific watch levels / event / execution plan
Data Sources (required): one-line QVeris attribution and channels used in this brief

### Evening Brief

Session recap: index + sector + portfolio one-line recap, with key index close/% change
Holdings change: biggest winners/losers and why, with quantized move (%) where available
Thesis check: whether thesis changed
Tomorrow's plan (required): explicit conditions and actions
Data Sources (required): one-line QVeris attribution and channels used in this brief

### Quality Bar

Prioritize user holdings, not generic market commentary.
Quantify changes when possible (%, levels, counts).
Keep concise and decision-oriented.
Include a short source disclosure line at the end to improve traceability and credibility.

### Hot Topic Analysis Guide

When analyzing radar output, cluster signals into investable themes and provide concise actionable conclusions.

### Required Output (per theme)

Theme: clear, investable label
Driver: what changed and why now
Impact: beneficiaries/losers + magnitude + duration
Recommendation (required): concrete trigger or level
Risk note: key invalidation or monitoring signal
Source tag (required): include source label for each theme (for example: caidazi_report, alpha_news_sentiment, x_hot_topics)

### Execution Rules

Cluster into 3-5 themes max.
Cross-verify sources; lower confidence for social-only signals.
Distinguish short-term trade vs mid-term allocation.
Keep each theme concise (<200 characters preferred).
End with a QVeris source disclosure line listing channels that contributed to this radar run.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: buxibuxi
- Version: 0.3.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-30T06:18:33.350Z
- Expires at: 2026-05-07T06:18:33.350Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/stock-copilot-pro)
- [Send to Agent page](https://openagent3.xyz/skills/stock-copilot-pro/agent)
- [JSON manifest](https://openagent3.xyz/skills/stock-copilot-pro/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/stock-copilot-pro/agent.md)
- [Download page](https://openagent3.xyz/downloads/stock-copilot-pro)