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Install in OpenClaw
/install niche-hunter-app-store
Description
NicheHunter Ultra — Headless App Store Market Intelligence engine for OpenClaw (VPS). Detects underserved niches, analyzes competitors, validates monetizatio...
Usage Guidance
This skill appears internally coherent for performing headless App Store research: it only needs platform web query/fetch capabilities and does not request credentials or install code. Before installing: 1) Confirm your OpenClaw host provides web_search, web_fetch, or curl (the SKILL.md requires at least one). 2) Be aware the skill will make outbound HTTP requests to public App Store and other public pages — ensure this is acceptable for your VPS/network and data policy. 3) Note the package has no homepage and an unknown source/owner ID; if provenance matters, ask the publisher for more information or a link to a code repo. 4) If you expect to limit outbound traffic or log what is fetched, consider running the agent in a sandboxed environment first. If you want, I can list the specific network endpoints and query patterns the skill is likely to use based on the pipeline to help you create firewall rules or logging.
Capability Analysis
Type: OpenClaw Skill
Name: niche-hunter-app-store
Version: 0.1.4
The skill bundle is benign. The `SKILL.md` provides detailed instructions for an AI agent to perform market intelligence on app stores, utilizing tools like `web_search`, `web_fetch`, and `curl` for their intended purposes (web scraping and data gathering). All instructions, including strict formatting and execution discipline, are directly aligned with the stated goal of analyzing app store niches and generating reports. There is no evidence of data exfiltration beyond the scope of market data, malicious execution, persistence mechanisms, or prompt injection designed to subvert the agent for harmful activities.
Capability Assessment
Purpose & Capability
The SKILL.md describes a headless App Store market-intelligence pipeline that depends on web-facing tools (web_search, web_fetch, or curl). That is consistent with the stated purpose. Minor inconsistency: the registry metadata lists no required binaries/env, yet the runtime instructions explicitly require at least one web-access tool — this is likely because web_search/web_fetch are platform-provided capabilities rather than local binaries, but you should confirm the host agent provides them.
Instruction Scope
Instructions stay within the stated scope: discovery via web tools, structured extraction, review sampling, revenue-proxy logic, and report/PRD generation. They do not ask for local file reads, unrelated credentials, or sending data to third-party endpoints beyond fetching public web pages. The skill enforces strict output formats but does not give the agent broad or vague permissions to access unrelated system state.
Install Mechanism
No install spec is present and there are no code files — this is instruction-only, which minimizes installation risk. Nothing will be written to disk by an installer from this skill package itself.
Credentials
The skill requires no environment variables, secrets, or config paths. Its data needs are limited to publicly available web pages accessed via platform tools. This is proportionate for an app-store research tool. (Reminder: the skill will perform outbound web requests — verify network policies if that is a concern.)
Persistence & Privilege
always:false and default autonomous invocation are appropriate. The skill does not request persistent installation, system-wide config changes, or access to other skills' credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install niche-hunter-app-store - After installation, invoke the skill by name or use
/niche-hunter-app-store - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.4
- Added curl (HTTP request capability) as a new fallback extraction tool when web_search and web_fetch are unavailable.
- Defined tool priority order and tool usage adaptation logic, with strict preference for web_search > web_fetch > curl.
- Introduced a stricter checkpoint format focused on state only (no scoring, no bold claims, no revenue estimates).
- Prohibited ASCII tables and all grid-style/table-style formatting, enforcing vertical block output.
- Clarified output discipline and format enforcement for both checkpoints and final Telegram report.
- Minor clarifications to execution logic around competitor analysis and source confidence levels.
v0.1.3
- Expanded tool support: skill now works if either web_search or web_fetch is available (previously required web_search).
- Added detailed fallback logic for running with only web_fetch, including App Store chart scraping.
- Updated pipeline and discipline sections for improved clarity and adaptability.
- Refined output enforcement: explicit Telegram-optimized template and more granular evidence requirements.
- Enhanced checkpoint and scoring formats, confidence labeling, and risk assessment in reports.
v0.1.2
- Enforced stricter, more concise output format for checkpoints and market intelligence reports.
- Unified and clarified the quantitative scoring and revenue estimation models.
- Updated and standardized terminology (e.g., "Competitors analyzed", "Install estimate logic").
- Clarified execution discipline and output constraints; removed speculative phrasing.
- Deleted redundant README.md for streamlined documentation.
v0.1.1
Summary: Major upgrade for VPS/Telegram use, strict discipline, quantitative scoring, and improved reporting.
- Full rewrite to support headless VPS and seamless Telegram interaction (no interactive browser).
- Strict tool use limits and checkpoint model for process transparency and resource control.
- Adds quantitative opportunity scoring (demand, gap, monetization, build viability) with weighted formulas.
- Overhauled outputs: concise, copy-paste-ready investor-grade reports and MVP PRDs, all with Telegram-optimized formatting.
- Revenue estimation clarified with confidence labeling and transparent signal reporting.
- Improved feature extraction, complaint tracking, and micro-niche clustering for higher accuracy and actionable intelligence.
v0.1.0
Initial release of NicheHunter — an end-to-end App Store niche opportunity research toolkit.
- Automates finding profitable app niches using live App Store and web research
- Deep competitor analysis including reviews, features, and estimated revenues
- Generates a ranked top-3 opportunity report with revenue validation
- Writes detailed MVP Product Requirements Documents (PRD) ready for prototyping
- Integrates WebFetch, WebSearch, and Write tools for the entire workflow, no API keys needed
Metadata
Frequently Asked Questions
What is Niche Hunter App Store?
NicheHunter Ultra — Headless App Store Market Intelligence engine for OpenClaw (VPS). Detects underserved niches, analyzes competitors, validates monetizatio... It is an AI Agent Skill for Claude Code / OpenClaw, with 370 downloads so far.
How do I install Niche Hunter App Store?
Run "/install niche-hunter-app-store" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Niche Hunter App Store free?
Yes, Niche Hunter App Store is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Niche Hunter App Store support?
Niche Hunter App Store is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Niche Hunter App Store?
It is built and maintained by mauro (@chebyte); the current version is v0.1.4.
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