lhb_analyzer

lhb_analyzer is a skill for Claude Code, Codex from agentpit-io/hunter-community. It costs 35 tokens per session (266 once invoked), scanned A, original, Apache-2.0.

A Chinese-language analyzer for stock-market 龙虎榜 data, a public list of trading seats involved in notable daily transactions. It labels known trading firms and compares institutional activity with short-term trader activity.

In plain words
What is it for?
Use it to identify notable trading seats, assess a stock’s fit with particular traders’ habits, and study institutional versus short-term trading competition.
Why use it?
It turns raw seat data into an interpretation of who may be trading and whether the activity looks institution-led or dominated by short-term traders.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to identify notable trading seats, assess a stock’s fit with particular traders’ habits, and study institutional versus short-term trading competition.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentpit-io/hunter-community/lhb_analyzer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add agentpit-io/hunter-community --skill lhb_analyzer
Clone the repo
git clone --depth 1 https://github.com/agentpit-io/hunter-community

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 lhb_analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentpit-io/hunter-community/lhb_analyzer.svg)](https://agentmods.dev/skills/agentpit-io/hunter-community/lhb_analyzer)
Your own site
<a href="https://agentmods.dev/skills/agentpit-io/hunter-community/lhb_analyzer"><img src="https://agentmods.dev/badge/skills/agentpit-io/hunter-community/lhb_analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 266 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00035 $0.00266
Opus 5 $0.00017 $0.00133
Sonnet 5 $0.00007 $0.00053
Haiku 4.5 $0.00003 $0.00027

Measured 8d ago against content hash 465b375b4702, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

lhb_analyzer scanned grade A with 0 findings 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 8d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/lhb_analyzer/SKILL.md · 25 lines

What it actually says

龙虎榜深度分析 (Adapted)

数据流 (已适配本系统)

  1. 调用系统内置龙虎榜工具获取原始席位数据。
  2. 游资识别: 对照 UZI 席位百科(章盟主、佛山、拉萨天团等)进行标签化。
  3. 射程判断: 分析该股票属性(股本、题材、封板质量)是否符合特定游资的操作习惯。
  4. 博弈分析: 判断是机构抱团还是游资混战。
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. 8d ago First seen · 25 lines · 35 tokens per session scan A 465b375b4702

Subscribe to this mod's changes

lhb_analyzer is a skill published in the GitHub repository agentpit-io/hunter-community (466 stars, last pushed yesterday), licensed Apache-2.0. It adds 35 tokens to every session and 266 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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