fund-holder-structure-single-fund

fund-holder-structure-single-fund is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 69 tokens per session (414 once invoked), scanned A, original, MIT.

A report lookup for who owns a particular investment fund. It can return household counts, average holdings per account, and the shares and percentages held by institutions, individuals, and the ten largest holders.

In plain words
What is it for?
Use it to study a fund’s ownership structure, compare institutional and individual ownership, or examine its largest holders.
Why use it?
It avoids manually collecting ownership details from different fund reports. You can filter by report type and reporting-period dates.

Skill for Claude CodeCodex

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

Good fit Use it to study a fund’s ownership structure, compare institutional and individual ownership, or examine its largest holders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ftshare-lab/ftshare-skill/fund-holder-structure-single-fund
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 FTShare-Lab/FTShare-skill --skill fund-holder-structure-single-fund
Clone the repo
git clone --depth 1 https://github.com/FTShare-Lab/FTShare-skill

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 fund-holder-structure-single-fund

README.md
[![agentmods](https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/fund-holder-structure-single-fund/github.svg)](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/fund-holder-structure-single-fund)
Your own site
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/fund-holder-structure-single-fund"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/fund-holder-structure-single-fund/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 fund-holder-structure-single-fund

Your own site · 80×15
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/fund-holder-structure-single-fund"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/fund-holder-structure-single-fund.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 414 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 $0.00069 $0.00414
Opus 5 $0.00034 $0.00207
Sonnet 5 $0.00014 $0.00083
Haiku 4.5 $0.00007 $0.00041

Measured 10d ago against content hash 5de6fe241d6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

fund-holder-structure-single-fund 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 10d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/handler.py, scripts/test_handler.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ftshare-market-data/sub-skills/fund-holder-structure-single-fund/SKILL.md · 43 lines

What it actually says

基金持有人结构

接口说明

项目 说明
接口名称 基金持有人结构
外部接口 /api/v1/market/data/fund/fund-holder-structure
请求方式 GET

请求参数

参数名 类型 是否必填 描述
--fund_code string 基金代码(如 000001 或 000001.OF)
--report_type string 报告类型:年度报告/中期报告/上市公告书/基金合同生效公告,缺省全部
--start_date int 报告期起始日期 YYYYMMDD
--end_date int 报告期截止日期 YYYYMMDD

执行方式

通过根目录的 run.py 调用(推荐):

python <RUN_PY> fund-holder-structure-single-fund --fund_code 000001 --report_type 年度报告

<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。

响应结构

JSON 对象或数组,结构请参考 ftshare-doc 接口文档。

注意事项

  • 必填参数必须提供。
  • 响应以 JSON 格式输出至 stdout,诊断信息输出至 stderr。
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 43 lines · 69 tokens per session scan A 5de6fe241d6b

Subscribe to this mod's changes

fund-holder-structure-single-fund is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 3d ago), licensed MIT. It adds 69 tokens to every session and 414 once invoked, about $0.0003 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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