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gangtisegts

Gangtise Agent调用

by GangtiseGts · GitHub ↗ · v1.4.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install gangtise-agent
Description
通过 Gangtise Agent OpenAPI 统一拉取 Markdown 投研文本,面向「快速可读、少跳转」的研究与问答场景。 各 Agent 能力概览:one-pager(公司一页通,单票核心要素与结论浓缩); investment-logic(投资逻辑,主线叙事与关键假设); peer-comparis...
README (SKILL.md)

Agent 接口调用

概览

本技能通过 scripts/agents.py 调用通用 Agent 接口;hot-topic-listsecurity-clue-list 为独立脚本调用(参数差异较大)。

支持接口:

  • one-pager:公司一页通
  • investment-logic:投资逻辑
  • peer-comparison:同业对比
  • earnings-review:绩点评(自动串联 getId + 轮询 getContent,最长 600s)
  • viewpoint-debate:观点 PK(自动串联 getId + 轮询 getContent,最长 600s)
  • theme-tracking:主题跟踪(晨报/晚报)
  • research-outline:公司调研提纲
  • hot-topic-list:热点话题报告(早报/午报/盘中快报/晚报等,分页与多维筛选,结构化话题与可选标的/精读)
  • security-clue-list:投研线索列表(按证券/行业查询,支持时间与来源筛选,分页最大 500)

授权方式与其他 gangtise 技能一致:在 scripts/.authorization 中配置 long-term-token,或配置 accessKeysecretAccessKey

统一脚本

scripts/agents.py

scripts/hot_topic.py(仅 hot-topic-list

scripts/security_clue.py(仅 security-clue-list

参数说明

scripts/agents.py

参数 必填 说明
-a / --agent-type 接口类型,见上方枚举。earnings-reviewviewpoint-debate 会自动串联 getId + 轮询 getContent(最长 600s)。
-s / --security-code 条件必填 证券代码(如 600519.SH)。用于 one-pagerinvestment-logicpeer-comparisonresearch-outlineearnings-review
-p / --period 条件必填 报告期(如 2026q3)。仅用于 earnings-review
-d / --data-id 保留参数,当前无对外场景。
--viewpoint 条件必填 观点文本(最长 1000 字)。仅用于 viewpoint-debate
-t / --theme-id 条件必填 主题 ID 或中文主题名(会按映射自动转为 ID)。仅用于 theme-tracking
--date 条件必填 查询日期(yyyy-MM-dd)。仅用于 theme-tracking
--type 条件必填 资讯类型(morning/night,支持逗号分隔多选)。仅用于 theme-tracking

scripts/hot_topic.py

参数 必填 说明
--page-from 分页起始偏移,默认 0
--page-size 分页条数,默认 500,最大 500
-sd / --start-date 开始日期,支持 yyyy-MM-dd
-ed / --end-date 结束日期,支持 yyyy-MM-dd
--hot-category 热点类型,逗号分隔:morningnoonafternoonevening
--with-securities 是否包含相关证券。
--with-close-reading 是否包含精读。

scripts/security_clue.py

参数 必填 说明
--page-from 分页起始偏移,默认 0
--page-size 分页条数,默认 500,最大 500
-st / --start-time 开始时间,支持 yyyy-MM-ddyyyy-MM-dd HH:mm:ss
-et / --end-time 结束时间,支持 yyyy-MM-ddyyyy-MM-dd HH:mm:ss
-q / --query-mode 查询方式:bySecurity(按证券)或 byIndustry(按行业)。
-g / --gts-code-list 证券/行业代码列表,逗号分隔;也可传 all。例如 000001.SZ,000063.SH888888.CI,999999.CI
--source 来源多选,逗号分隔:researchReportconferenceannouncementview
-o / --output 结果保存路径。

示例

python3 scripts/agents.py -a one-pager -s 600519.SH
python3 scripts/agents.py -a investment-logic -s 600519.SH
python3 scripts/agents.py -a peer-comparison -s 600519.SH
python3 scripts/agents.py -a earnings-review -s 600519.SH -p 2025q3
python3 scripts/agents.py -a viewpoint-debate --viewpoint "飞天茅台的批价低点是1500元"
python3 scripts/agents.py -a theme-tracking -t 23600839952306231 --date 2026-03-01 --type morning,night
python3 scripts/agents.py -a theme-tracking -t 核电 --date 2026-04-01 --type morning,night
python3 scripts/agents.py -a research-outline -s 600519.SH
python3 scripts/hot_topic.py --page-from 0 --page-size 5 -sd 2026-03-22 -ed 2026-03-27 --hot-category morning,noon,afternoon --with-securities --with-close-reading
python3 scripts/security_clue.py --page-from 0 --page-size 10 -q bySecurity -g 000001.SZ,600519.SH
python3 scripts/security_clue.py --page-from 0 --page-size 10 -st "2026-03-01 00:00:00" -et "2026-03-23 23:59:59" -q byIndustry -g 888888.CI,999999.CI --source conference,view
Usage Guidance
Review this skill carefully before installing. It is designed to call Gangtise research APIs and therefore legitimately needs Gangtise credentials, but the reported hardcoded authorization tokens should be removed and rotated first. Use your own GTS_ACCESS_KEY/GTS_SECRET_KEY, avoid untrusted endpoint overrides, and confirm broad queries that may consume credits.
Capability Analysis
Type: OpenClaw Skill Name: gangtise-agent Version: 1.4.1 The gangtise-agent skill bundle is a legitimate integration for accessing financial research data via the Gangtise OpenAPI. The scripts (agents.py, hot_topic.py, security_clue.py) provide a structured interface to fetch research reports, investment logic, and market trends from the official domain (open.gangtise.com). Authentication is handled securely via API keys provided by the user, and the code lacks any indicators of malicious intent, such as data exfiltration, unauthorized shell execution, or prompt injection.
Capability Tags
requires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
Calling Gangtise OpenAPI for investment-research Markdown is coherent with the description, but bundled hardcoded authorization literals are not needed for that purpose because the skill already supports user-provided Gangtise credentials.
Instruction Scope
The documented commands are user-invoked and parameterized, but broad security-clue queries can consume account credits, so users should confirm high-volume requests.
Install Mechanism
There is no install-time execution shown, but the registry metadata says no credentials are required while SKILL.md declares required Gangtise keys, and the registry version differs from the SKILL.md version.
Credentials
The skill handles sensitive Gangtise authorization and the static scan reports hardcoded API secrets in two scripts; this is higher risk than a normal purpose-aligned API integration.
Persistence & Privilege
No evidence of background persistence, privilege escalation, or autonomous activity beyond user-invoked API calls and optional output handling was shown.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install gangtise-agent
  3. After installation, invoke the skill by name or use /gangtise-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.4.1
gangtise-agent 1.4.3 - 新增并详细完善各 Agent 接口参数说明和用法示例,覆盖 one-pager、investment-logic、peer-comparison、earnings-review、viewpoint-debate、theme-tracking、research-outline、hot-topic-list、security-clue-list 等多种场景。 - 明确授权方式,支持环境变量与配置文件两种 key 管理方案及优先级说明。 - 补充 hot-topic-list 和 security-clue-list 的独立参数与使用方法,包括分页、筛选、输出格式等。 - 文档内容优化,突出“快速可读、少跳转”的特点,适配纪要、投研助理等使用场景。 - 丰富命令行调用示例,进一步降低上手门槛。
Metadata
Slug gangtise-agent
Version 1.4.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Gangtise Agent调用?

通过 Gangtise Agent OpenAPI 统一拉取 Markdown 投研文本,面向「快速可读、少跳转」的研究与问答场景。 各 Agent 能力概览:one-pager(公司一页通,单票核心要素与结论浓缩); investment-logic(投资逻辑,主线叙事与关键假设); peer-comparis... It is an AI Agent Skill for Claude Code / OpenClaw, with 28 downloads so far.

How do I install Gangtise Agent调用?

Run "/install gangtise-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Gangtise Agent调用 free?

Yes, Gangtise Agent调用 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Gangtise Agent调用 support?

Gangtise Agent调用 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Gangtise Agent调用?

It is built and maintained by GangtiseGts (@gangtisegts); the current version is v1.4.1.

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