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India Price Tracker

作者 ASP · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install india-price-tracker
功能描述
Track and compare product prices across popular Indian stores (Amazon India, Flipkart, Reliance Digital, Croma, Vijay Sales, Tata CLiQ, and more), compute ef...
使用说明 (SKILL.md)

India Price Tracker

Overview

Track prices across major Indian ecommerce stores and compare true payable cost, not just listed price.

Primary stores:

  • Amazon India
  • Flipkart
  • Reliance Digital
  • Croma
  • Vijay Sales
  • Tata CLiQ

Additional stores:

  • JioMart
  • Myntra
  • AJIO
  • Nykaa
  • Snapdeal

Disclaimer

This skill provides tracking and comparison workflows only. It does not execute purchases. Store APIs, policies, and pricing terms can change. You are responsible for complying with each platform's Terms of Service and applicable laws.

Use at your own risk. The skill author/publisher/developer is not liable for direct or indirect loss, trading losses, missed opportunities, scraping/API bans, account restrictions, or other damages arising from use or misuse of this guidance.

What is improved vs generic price trackers

  1. India-first store adapters

    • Store list and naming normalized for Indian catalogs.
  2. Effective price modeling

    • Calculates final payable estimate:
    • effective_price = listing_price - instant_discount - coupon_discount - card_cashback + shipping
  3. Pincode-aware availability

    • Supports regional availability and shipping variance inputs.
  4. Arbitrage with fee model

    • Computes net margin after platform fees and shipping.
  5. History + trend flags

    • Tracks 30/60/90 day movement and volatility.
  6. Alerting modes

    • Price-drop threshold
    • Margin threshold
    • Restock + price condition

Setup

On first use, read setup.md, then run scripts in mock mode first.

Core workflows

1) Compare prices across stores

python3 scripts/compare_prices.py \
  --keyword "iPhone 15 128GB" \
  --stores amazon_in,flipkart,reliance_digital,croma,vijay_sales,tata_cliq \
  --report markdown

2) Track a product with threshold alerts

python3 scripts/track_product.py \
  --product "Sony WH-1000XM5" \
  --stores amazon_in,flipkart,croma \
  --alert-below 24999 \
  --alert-margin 0.18 \
  --pincode 560001

3) Bulk monitor from CSV

python3 scripts/bulk_monitor.py \
  --csv examples/products.india.csv \
  --margin-threshold 0.15 \
  --output reports/alerts.txt

4) Price history analysis

python3 scripts/price_history.py \
  --product "Samsung Galaxy S24" \
  --days 60 \
  --stores amazon_in,flipkart \
  --trend-analysis

Strategy rules

  • Prefer effective price over headline price.
  • Compare same SKU/variant only (storage, color, seller condition).
  • Flag uncertain matches for manual review.
  • Never assume stock parity across stores.
  • Respect platform policies if implementing live adapters.

Output format

When asked to analyze products, return:

  1. best store by effective price
  2. next best alternative
  3. arbitrage opportunity (if margin above threshold)
  4. confidence notes (match quality, availability, shipping)

Files

  • scripts/compare_prices.py
  • scripts/track_product.py
  • scripts/bulk_monitor.py
  • scripts/price_history.py
  • scripts/config.py
  • examples/products.india.csv
  • README.md

Validation

  • Use validation-checklist.md before switching to any live adapter mode.
  • Re-validate each store's terms, rate limits, and allowed integration method before production automation.
安全使用建议
This skill appears coherent and safe for local evaluation: run it in the provided mock mode first, follow setup.md and validation-checklist.md, and only implement 'live' adapters after you review each store's API/ToS and add proper rate-limiting and secure credential storage. Do not hardcode API keys into the source; inspect any later changes to scripts/config.py for network calls before running in production. Also be aware the scripts will write local report files (e.g., reports/alerts.txt) and may overwrite existing files with the same path.
功能分析
Type: OpenClaw Skill Name: india-price-tracker Version: 1.0.0 The india-price-tracker skill bundle is a legitimate template for monitoring product prices across Indian e-commerce platforms. All scripts (compare_prices.py, track_product.py, bulk_monitor.py, and price_history.py) currently utilize a mock data generator in config.py that produces randomized pricing information locally. There is no evidence of data exfiltration, network requests, or unauthorized system access; the code strictly adheres to its stated purpose of providing a framework for price comparison and arbitrage detection.
能力评估
Purpose & Capability
The name/description promise price comparison, tracking, and history analysis; the included scripts implement mock search, comparison, history, and CSV-driven bulk monitoring consistent with that purpose. There are no unexpected credentials, cloud SDKs, or unrelated binaries requested.
Instruction Scope
SKILL.md instructs running the included Python scripts in mock mode, reading local CSVs, and writing local reports. The instructions do not direct the agent to read unrelated system files, access external endpoints, or exfiltrate data. The README/setup explicitly recommends mock mode and validating policies before adding live adapters.
Install Mechanism
No install spec or external downloads are present; this is an instruction-plus-source bundle. All code is included in the package and there are no extract/download steps or third-party package installs declared.
Credentials
The skill only requires python3 (declared). It declares no environment variables, secrets, or config paths. The code uses deterministic mock data and local files only — no API keys or tokens are requested or referenced.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or global agent settings. It only writes local report files (e.g., reports/alerts.txt) when invoked, which is consistent with its functionality.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install india-price-tracker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /india-price-tracker 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of India Price Tracker skill. - Track and compare product prices across major Indian ecommerce stores. - Calculates effective prices including discounts, cashback, and shipping. - Supports pincode-aware availability, price history, and threshold alerts. - Detects arbitrage opportunities after fees and shipping. - Includes workflows for price comparison, tracking, bulk monitoring, and trend analysis.
元数据
Slug india-price-tracker
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

India Price Tracker 是什么?

Track and compare product prices across popular Indian stores (Amazon India, Flipkart, Reliance Digital, Croma, Vijay Sales, Tata CLiQ, and more), compute ef... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 169 次。

如何安装 India Price Tracker?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install india-price-tracker」即可一键安装,无需额外配置。

India Price Tracker 是免费的吗?

是的,India Price Tracker 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

India Price Tracker 支持哪些平台?

India Price Tracker 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 India Price Tracker?

由 ASP(@anugotta)开发并维护,当前版本 v1.0.0。

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