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Opportunity Scout
作者
New Age Investments
· GitHub ↗
· v1.0.0
· MIT-0
95
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install nai-opportunity-scout
功能描述
Hunt for real, expressed user pain points and unmet demand across Reddit, HN, and configurable sources. Finds demand signals like frustration posts, feature...
安全使用建议
This skill appears to do what it says: configure niches, generate queries, ingest search results (via a host-provided web_search tool), score signals, and write a markdown digest and history files. Before installing or running it, do the following: 1) Inspect scripts/scan_sources.py and scripts/score_signals.py (and any other truncated/omitted files) for any hard-coded network endpoints, HTTP POST calls, or telemetry — those scripts perform the core network/processing work and were not fully shown. 2) Confirm what the agent's web_search tool does and which service it queries — ensure it's trusted and that queries/results won't be forwarded to untrusted third parties. 3) Choose an output directory that isn't automatically synced to cloud backups (e.g., avoid saving digests to a synced Obsidian vault if you care about scraped content privacy). 4) If you plan to run scheduled scans (cron), run initial scans manually and review generated findings to ensure the tool only collects intended public posts. If you can share the full contents of scan_sources.py and score_signals.py, I can re-evaluate with higher confidence.
功能分析
Type: OpenClaw Skill
Name: nai-opportunity-scout
Version: 1.0.0
The opportunity-scout skill bundle is a market research tool designed to identify business opportunities by scanning platforms like Reddit and Hacker News for user pain points. The scripts (scan_sources.py, score_signals.py, history.py, etc.) perform local data processing, scoring, and report generation without any suspicious network activity, unauthorized file access, or obfuscated code. The workflow relies on the agent's built-in web_search tool and follows the instructions provided in SKILL.md, which are clearly aligned with the stated purpose of finding market gaps.
能力评估
Purpose & Capability
Name/description, config example, references, and the provided scripts (configure.py, digest.py, history.py) are coherent: they implement niche configuration, query generation/ingestion, scoring, history tracking, and digest generation for opportunity scanning across Reddit/HN/GitHub. Required env vars and binaries are none, which is consistent with an instruction-first, script-driven scanner that expects the host to provide a web_search tool.
Instruction Scope
SKILL.md keeps scope focused on scanning, scoring, and producing digests. It instructs the operator/agent to run the included scripts and to call a 'web_search' tool to execute queries and collect results. That implies network requests for query results (expected for this skill), and the skill writes config.json, history.json, and findings/ into its directory. Those behaviors are reasonable for the stated purpose, but any tool that performs web queries and persists scraped text should be inspected to confirm it only queries intended sources and does not transmit collected findings to unexpected endpoints.
Install Mechanism
No install spec is provided (instruction-only with shipped scripts). There is no download/remote install step, which reduces supply-chain risk. The skill is comprised of local Python scripts and static reference files.
Credentials
The skill declares no required environment variables, no primary credential, and no special config paths. That is proportionate for a tool that generates queries and consumes search results. The only external dependency implied by the docs is a 'web_search' tool the agent should call to fetch results — that should be a trusted capability of the host/agent.
Persistence & Privilege
always:false (default) — the skill does not request forced persistent inclusion. It writes its own config.json, history.json, and findings/ inside the skill directory, which is expected for a scanner. That said, writing scraped posts to disk may surface sensitive user content if the output directory is synced to cloud storage or otherwise exposed; consider choosing an isolated output path.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install nai-opportunity-scout - 安装完成后,直接呼叫该 Skill 的名称或使用
/nai-opportunity-scout触发 - 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 Opportunity Scout: a tool for uncovering user pain points and unmet demand from online forums.
- Scan Reddit, Hacker News, and custom sources for expressions of user frustration, need, or willingness to pay.
- Score and prioritize findings by signal strength, competition, engagement, and trend persistence.
- Compile results into a digest, highlighting emerging market gaps and business opportunities.
- Includes scripts for configuration, scanning, scoring, trend tracking, and digest generation.
- Workflow supports both full scans and rapid, niche-targeted scans without complex setup.
元数据
常见问题
Opportunity Scout 是什么?
Hunt for real, expressed user pain points and unmet demand across Reddit, HN, and configurable sources. Finds demand signals like frustration posts, feature... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 95 次。
如何安装 Opportunity Scout?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nai-opportunity-scout」即可一键安装,无需额外配置。
Opportunity Scout 是免费的吗?
是的,Opportunity Scout 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Opportunity Scout 支持哪些平台?
Opportunity Scout 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 Opportunity Scout?
由 New Age Investments(@newageinvestments25-byte)开发并维护,当前版本 v1.0.0。
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