etf-pcfs

etf-pcfs is a skill for Claude Code, Codex from FTShare-Lab/FTShare-skill. It costs 43 tokens per session (728 once invoked), scanned A, original, MIT.

A paginated list of ETF PCF files for a chosen trading date. A PCF, or creation and redemption file, lists the assets and cash details used when authorized participants create or redeem ETF units.

In plain words
What is it for?
Use it to find ETF creation and redemption files by date, ETF code, or page, including each file’s name.
Why use it?
It helps locate the correct daily file without searching an external PCF service manually or downloading the full list at once.

Skill for Claude CodeCodex

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

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.

agentmods
npx agentmods add skills/ftshare-lab/ftshare-skill/etf-pcfs
Any agent
npx skills add FTShare-Lab/FTShare-skill --skill etf-pcfs
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 etf-pcfs

README.md
[![agentmods](https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-pcfs.svg)](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/etf-pcfs)
Your own site
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/etf-pcfs"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/etf-pcfs.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 728 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00043 $0.00728
Opus 5 $0.00022 $0.00364
Sonnet 5 $0.00009 $0.00146
Haiku 4.5 $0.00004 $0.00073

Measured 6d ago against content hash a128d4cf7910, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

etf-pcfs 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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/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/etf-pcfs/SKILL.md · 79 lines

What it actually says

指定日期 ETF PCF 列表 - 获取指定日期 ETF PCF 列表

1. 接口描述

项目 说明
接口名称 获取指定日期 ETF PCF 列表
外部接口 GET /api/v1/market/data/etf-pcf/etf-pcfs
请求方式 GET
适用场景 获取指定交易日 ETF 申购赎回清单(PCF)文件列表,支持分页,数据来自外部 PCF 服务

2. 请求参数

参数名 类型 是否必填 描述 取值示例 备注
date int 日期 20260309 YYYYMMDD 整型
page int 页码,从 1 开始 1 默认 1
page_size int 每页记录数 20 默认 20,最大 100

3. 响应说明

返回分页的 PCF 文件列表。

{
  "total": 850,
  "page": 1,
  "page_size": 20,
  "items": [
    {
      "etf_code": 159003,
      "date": 20260309,
      "filename": "pcf_159003_20260309.xml"
    },
    {
      "etf_code": 159005,
      "date": 20260309,
      "filename": "pcf_159005_20260309.xml"
    }
  ]
}

EtfPcfItem 字段

字段名 类型 是否可为空 说明
etf_code int ETF 代码
date int 日期 YYYYMMDD
filename string PCF 文件名,如 pcf_159152_20260316.xml

4. 用法

通过主目录 run.py 调用(必填 --date,可选 --page--page_size):

python <RUN_PY> etf-pcfs --date 20260309
python <RUN_PY> etf-pcfs --date 20260309 --page 1 --page_size 20

<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。脚本输出 JSON;本接口无需额外请求头。

5. 请求示例

GET /api/v1/market/data/etf-pcf/etf-pcfs?date=20260309&page=1&page_size=20

6. 注意事项

  • date 为 YYYYMMDD 整型(如 20260309),需为交易日
  • page_size 最大 100
  • 无数据时 items 为空数组,total 为 0
Files

What ships with it

1 file 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. 6d ago First seen · 79 lines · 43 tokens per session scan A a128d4cf7910

Subscribe to this mod's changes

etf-pcfs is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (62 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 728 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.

Related

Other skills, from other repositories

defeatbeta-earnings-analysis

Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when…

defeat-beta/defeatbeta-api · 112 tokens

sprr

Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".

wilsonfreitas/awesome-quant · 60 tokens

bprr

Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.

wilsonfreitas/awesome-quant · 61 tokens

update-pypi-dates

Refresh tracked PyPI last-updated dates in awesome-quant README.md. Use when the user asks to update PyPI dates, refresh PyPI metadata, or run update-pypi-dates.

wilsonfreitas/awesome-quant · 47 tokens

defeatbeta-earnings-preview

Build pre-earnings analysis with normalized baselines, weighted decision models, company-specific veto gates, scenario frameworks, catalysts, historical reactions, and options-implied moves. Use before a company reports quarterly earnings to prepare positioning notes or bilingual three-page PDF reports.

defeat-beta/defeatbeta-api · 60 tokens

defeatbeta-analyst

Professional financial analysis using 60+ market data APIs. Use for: company fundamentals (revenue, margins, EPS, balance sheet), valuation (P/E, P/B, P/S, PEG, DCF, intrinsic value), profitability (ROE, ROA, ROIC), growth trends (YoY revenue/earnings/FCF), earnings transcripts (key data, changes, guidance), industry…

defeat-beta/defeatbeta-api · 154 tokens