fund-tracker

USE WHEN user types /fund-tracker or wants to check fund purchase availability, daily purchase quota, fee, and changes versus the previous run. Uses local AK...

Security Scan

The skill's code, instructions, and dependencies are consistent with its stated purpose of tracking fund purchase status using AKShare; it reads presets, fetches data from Eastmoney via AKShare, and keeps local history files — no unexplained credentials or hidden endpoints were found.

Purpose & Capability

Name/description say it tracks fund purchase status and quotas. The package requires python3 and includes a Python script that imports akshare and pandas, reads tools/presets.json, fetches purchase data via ak.fund_purchase_em(), and outputs JSON. These requirements and code are proportionate to the declared purpose.

Instruction Scope

SKILL.md instructs the agent to run tools/check.py with optional preset names and to manage presets in tools/presets.json. The runtime actions described (fetching via AKShare, comparing to runtime/history_*.json, saving local history, and producing a JSON table/summary) match the script's behavior. There are no instructions to read unrelated system files, secrets, or to send data to unknown endpoints beyond AKShare/Eastmoney.

Install Mechanism

No automated install spec in the skill bundle; SKILL.md and README recommend pip install -r tools/requirements.txt (akshare, pandas). Installing from PyPI is expected for a Python script. There are no downloads from personal servers or extract steps in the install metadata.

Credentials

The skill requests no environment variables, no credentials, and no config paths. It only uses local files in the skill directory (tools/presets.json and runtime/history_*.json) and an upstream data source via AKShare, which is consistent with its function.

Persistence & Privilege

The skill does create and update local runtime/history_<preset>.json files under the skill root to track previous runs, which is necessary for change detection. It does not request always:true, does not modify other skills or system-wide settings, and does not persist credentials.

Assessment

This skill appears to do exactly what it claims: use AKShare to fetch fund purchase status from Eastmoney, compare with local history, and print JSON. Before installing, consider: 1) AKShare will perform network queries to upstream data sources (Eastmoney) — ensure you are comfortable with that external network access. 2) The script will write local history files under the skill directory (runtime/history_<preset>.json); if you share that folder, history will be visible. 3) Install Python deps in a virtualenv (pip install -r tools/requirements.txt) and review tools/check.py if you want to audit behavior yourself. 4) There are no requested credentials or hidden endpoints in the bundle. If you require higher assurance, run the script in a sandboxed environment and inspect network calls while it runs.

Fund Purchase Status Tracker

Track purchase status and quota changes for any fund using AKShare.

Instructions

When the user types /fund-tracker, follow these steps:

Step 1: Determine preset

• /fund-tracker → use default preset
• /fund-tracker <preset_name> → use specified preset
• /fund-tracker list → show available presets

Step 2: Run the check script

# Default preset
python3 <skill-root>/tools/check.py

# Specific preset
python3 <skill-root>/tools/check.py <preset_name>

# List presets
python3 <skill-root>/tools/check.py list

Step 3: Present results to the user

Show a table with the following columns:

| 基金代码 | 基金简称 | 申购状态 | 日限额 | 手续费 | 变化 |

The "变化" column highlights any change from the previous check:

• NEW if this is the first check (no history)
• Status changes like "暂停→限额" or "限额→开放"
• Quota changes like "100→10000"
• "-" if no change

Step 4: Summarize actionable items

After the table, add a one-line summary:

• Which funds became available or more accessible
• Which funds became restricted
• Or "无变化" if nothing changed

Managing Presets

Presets are stored in <skill-root>/tools/presets.json.

When the user wants to add a new preset, update the file at <skill-root>/tools/presets.json:

{
  "default": {
    "label": "汇丰QDII",
    "funds": ["006075", "050025", "016057", "016055", "016533", "016532"]
  },
  "dingtou": {
    "label": "定投组合",
    "funds": ["110011", "519736", "007721"]
  }
}

Each preset has its own runtime history file (runtime/history_<name>.json) for independent change tracking.

Default Preset

代码	简称
006075	博时标普500ETF联接C
050025	博时标普500ETF联接A
016055	博时纳斯达克100联接A
016057	博时纳斯达克100联接C
016532	嘉实纳斯达克100联接A
016533	嘉实纳斯达克100联接C

About Alon

Public skill from Alon's real daily workflows.

• GitHub: https://github.com/alondotsh
• ClawHub: https://clawhub.ai/u/alondotsh
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