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Pangolinfo Amazon Niche Data (Niche Intelligence & Category)
by
Pangolinfo
· GitHub ↗
· v2.0.3
· MIT-0
166
Downloads
1
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install pangolinfo-amazon-niche
Description
Find profitable Amazon niches and category opportunities with structured category tree data, niche filters, BSR analysis, category path lookup, and marketpla...
Usage Guidance
This skill appears to do what it says: a thin Python client that calls Pangolinfo's Amazon niche/category APIs. Before installing: (1) confirm you trust pangolinfo.com and are willing to provide an API key (preferred) or an account email+password — avoid giving your password unless necessary; prefer API key. (2) Note the optional cache feature can persist your API key to ~/.pangolinfo_api_key if you opt in; by default the script keeps credentials in memory. (3) The self-test and some endpoints consume API credits — check the documentation and your account balance. (4) Be aware of small metadata mismatches (registry requires.env vs SKILL.md primaryEnv and optional cache env var); these are not functional red flags but you may want the publisher to correct the metadata for clarity.
Capability Analysis
Type: OpenClaw Skill
Name: pangolinfo-amazon-niche
Version: 2.0.3
The pangolinfo-amazon-niche skill bundle is a legitimate tool for Amazon market research. The core logic in scripts/pangolinfo.py uses standard Python libraries to interact with the Pangolinfo API (scrapeapi.pangolinfo.com) and handles sensitive credentials responsibly by keeping them in memory by default, with an optional, documented disk-caching mechanism that uses restricted file permissions (mode 600). The SKILL.md instructions are well-aligned with the stated purpose, and no indicators of data exfiltration, malicious execution, or prompt injection were found.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (Amazon niche/category research) match the implemented client. Requiring python3 and an API key (or email+password) is appropriate for a service-backed API client. The network target (scrapeapi.pangolinfo.com) aligns with the Pangolinfo homepage. Minor metadata mismatch: the registry summary lists no primary credential but SKILL.md metadata sets primaryEnv: PANGOLINFO_API_KEY (harmless but inconsistent).
Instruction Scope
Runtime instructions tell the agent to run the included Python script and pass API parameters; the script only uses the declared credentials (PANGOLINFO_API_KEY or PANGOLINFO_EMAIL/PANGOLINFO_PASSWORD) and optional cache flags. The SKILL.md explicitly warns not to use this skill for scraping and documents the APIs and credit costs. No instructions ask the agent to read unrelated system files or contact unexpected endpoints.
Install Mechanism
No install spec — instruction-only with bundled Python scripts. No external downloads, package installs, or extract-from-URL steps. This is low-risk from an installation perspective; the script uses stdlib urllib for network calls.
Credentials
Requested credentials (API key or email+password) are proportional to the purpose. Two minor inconsistencies: (1) registry-level 'Required env vars' lists PANGOLINFO_API_KEY, PANGOLINFO_EMAIL, and PANGOLINFO_PASSWORD (which implies all three are required), whereas SKILL.md and the script accept either API key OR email+password — the intent is clearly an API key preferred with email/password as fallback; (2) SKILL.md documents optional PANGOLINFO_CACHE but that env var is not listed in the registry requires.env. These are metadata/declared-variable inconsistencies rather than functional issues.
Persistence & Privilege
Skill is not always-enabled and does not request elevated system privileges. The client defaults to in-memory credentials; disk persistence is documented as opt-in (via a cache flag or env) and writes to ~/.pangolinfo_api_key with mode 600 if enabled. No evidence the skill modifies other skills or system-wide configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pangolinfo-amazon-niche - After installation, invoke the skill by name or use
/pangolinfo-amazon-niche - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.3
pangolinfo-amazon-niche 2.0.2 is a minor update refining the description and metadata for improved clarity and discoverability.
- Enhanced the skill description to clearly outline use cases and ideal scenarios for Amazon niche and category analysis.
- Updated tags for better searchability and relevance to niche and category research.
- Added "primaryEnv" and "bins" to metadata for improved environment and runtime detection.
- No changes to functionality or script execution; this is a documentation and metadata improvement release.
v2.0.0
Version 2.0.0 of pangolinfo-amazon-niche
- Major update: repositions the skill for autonomous AI agents (AutoGen, CrewAI, OpenClaw), enabling hands-off Amazon niche discovery and category exploration.
- Expanded description, tags, and homepage for discoverability in agent platforms.
- Highlights new use-cases: autonomous niche hunting, sales filtering, BSR mapping, and multi-language (English/Chinese) support.
- Improved user guidance: user stories, framework compatibility, and agent output language adaptation.
- Minimal impacts to CLI/API; mostly documentation, onboarding, and positioning improvements.
v1.0.1
- Clarified environment variable requirements: now shows PANGOLINFO_API_KEY as recommended, with email/password as an optional alternative.
- Updated metadata notes to better specify authentication methods and that credentials are not cached unless explicitly enabled.
- No functional or API changes; all endpoints and usage remain the same.
v1.0.0
Initial release of pangolinfo-amazon-niche, enabling Amazon niche and category market intelligence.
- Provides command-line access to Amazon category/niche data via Pangolinfo API.
- Supports category tree browsing, keyword-based search, path resolution, and metric-based filtering.
- Offers filtering for business metrics, niche discovery, and sales/trend analysis.
- Requires Pangolinfo account and API credentials; credentials are held in-memory by default.
- Output is returned as structured JSON, with error handling and multi-language category support.
Metadata
Frequently Asked Questions
What is Pangolinfo Amazon Niche Data (Niche Intelligence & Category)?
Find profitable Amazon niches and category opportunities with structured category tree data, niche filters, BSR analysis, category path lookup, and marketpla... It is an AI Agent Skill for Claude Code / OpenClaw, with 166 downloads so far.
How do I install Pangolinfo Amazon Niche Data (Niche Intelligence & Category)?
Run "/install pangolinfo-amazon-niche" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pangolinfo Amazon Niche Data (Niche Intelligence & Category) free?
Yes, Pangolinfo Amazon Niche Data (Niche Intelligence & Category) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pangolinfo Amazon Niche Data (Niche Intelligence & Category) support?
Pangolinfo Amazon Niche Data (Niche Intelligence & Category) is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created Pangolinfo Amazon Niche Data (Niche Intelligence & Category)?
It is built and maintained by Pangolinfo (@pangolinfo); the current version is v2.0.3.
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