hk-stock-analysis

hk-stock-analysis is a skill for Claude Code, Codex from KCNyu/clawock. It costs 126 tokens per session (9,748 once invoked), scanned A, original, MIT.

A workspace-aware analysis workflow for Hong Kong-listed stocks. It retrieves prices, technical indicators, market comparisons, and news through a local data pipeline, then adds Hong Kong-specific investment context.

In plain words
What is it for?
Use it when asking about a Hong Kong stock ticker. It helps assess price trends, RSI and moving averages, news, Southbound flows, the Hang Seng Tech direction, leveraged ETF decay, and other Hong Kong market risks.
Why use it?
It provides a defined data-source fallback process and checks the surrounding portfolio and workspace rules before forming an analysis.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node /root/.openclaw/workspace/skills/tavily-search/scripts/search.mjs "{TICKER} 港股 最新" --topic news --days 3 --bucket report.

Good fit Use it when asking about a Hong Kong stock ticker. It helps assess price trends, RSI and moving averages, news, Southbound flows, the Hang Seng Tech direction, leveraged ETF decay, and other Hong Kong market risks.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/KCNyu/clawock
agentmods
npx agentmods add skills/kcnyu/clawock/hk-stock-analysis

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hk-stock-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/kcnyu/clawock/hk-stock-analysis/github.svg)](https://agentmods.dev/skills/kcnyu/clawock/hk-stock-analysis)
Your own site
<a href="https://agentmods.dev/skills/kcnyu/clawock/hk-stock-analysis"><img src="https://agentmods.dev/badge/skills/kcnyu/clawock/hk-stock-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hk-stock-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/kcnyu/clawock/hk-stock-analysis"><img src="https://agentmods.dev/badge/skills/kcnyu/clawock/hk-stock-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,748 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.09748
Opus 5 $0.00063 $0.04874
Sonnet 5 $0.00025 $0.01950
Haiku 4.5 $0.00013 $0.00975

Measured 10d ago against content hash a8108e5df81a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

hk-stock-analysis scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

sp = StealthyFetcher.fetch(f"https://xueqiu.com/S/HK{TICKER}", headless=True)
skills/hk-stock-analysis/SKILL.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HK Stock Analysis

Workspace-native Hong Kong stock analyst. Uses the local fetch pipeline for live price + 恒指/恒科 baseline, then layers HK-specific analysis.

Required reads before answering

In this order:

  1. /root/.openclaw/workspace/MEMORY.md — data rules, traps, 00100-only-Tencent warning
  2. /root/.openclaw/workspace/TOOLS.md — HK fallback chain detail, skill routing
  3. /root/.openclaw/workspace/INVESTMENT_SOP.md — standard startup sequence
  4. /root/.openclaw/workspace/portfolio.json — if the ticker is in the active book

Data source rule (non-negotiable)

Default path — use the workspace script, not web search:

# Full analysis: refreshes price + 恒指/恒科基准 + RSI/MA + Finnhub news + signal
/root/.local/bin/clawock analyze-hk {TICKER}
/root/.local/bin/clawock analyze-hk {TICKER} --no-news    # skip news
/root/.local/bin/clawock analyze-hk --no-fetch            # use cached, analysis only

HK fallback chain (inside script):

  1. Tencent qt.gtimg.cn/q=r_hk{CODE} — primary; batch first, then single-code retry for misses
  2. Eastmoney HK push2.eastmoney.com/.../ulist.np/get (secid prefix 116) — requested for every ticker as an independent batch, even when Tencent succeeded. When both succeed, prefer Tencent but compare c and pc; divergence >1% is stored in _divergence and warned on stdout. When Tencent misses, Eastmoney is the first fallback.
  3. stooq.com CSV — only for tickers still unresolved; same-day OHLCV; caveat: new IPOs (e.g. 00100) not covered, prev_close approximated from open
  4. yfinance — only for tickers still unresolved; frequently rate-limited, last-resort fallback

Removed routes (do not retry):

  • ❌ AAStocks / 富途网页 — anti-scraping, not worth the fight; use Tencent

基本面路由(行情之外,2026-06-14 接入): 港股财报/关键指标走东财 datacenter — clawock fundamentals(datacenter-web + searchapi 子域实测稳定;行情链的 push2 由共享客户端独立尝试)。详见 Mode 3。⚠️ 资金流 clawock fundflow 写好但 push2his 在本服务器 IP 被封,暂不可用。

Critical trap — 00100 MINIMAX has only Tencent. As a new IPO it has no stooq/yfinance coverage. If Tencent fails on 00100, say so explicitly before falling back — do not silently use yesterday's cache.

Read the full file on GitHub · 344 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 344 lines · 126 tokens per session scan A a8108e5df81a

Subscribe to this mod's changes

hk-stock-analysis is a skill published in the GitHub repository KCNyu/clawock (14 stars, last pushed today), licensed MIT. It adds 126 tokens to every session and 9,748 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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