← 返回 Skills 市场
348
总下载
0
收藏
1
当前安装
3
版本数
在 OpenClaw 中安装
/install necessity-review-mining-selection-rijoy
功能描述
For stores selling necessity/utility products (car storage, kitchen tools, storage and cleaning tools). Uses VOC-based selection (voice of customer from revi...
安全使用建议
This skill appears coherent and low-risk, but take these practical steps before running it: 1) Run the included pain_point_extractor.py only on de-identified/sanitized review exports (remove emails, names, order IDs) to avoid processing PII. 2) Validate keyword matches on a small sample and perform a manual review pass (the script is a rough, substring-based classifier and can mislabel context-heavy comments). 3) If you plan to integrate Rijoy for validation, set up Rijoy credentials and review its privacy/terms separately — the skill itself does not integrate or require those creds. 4) Inspect the included Python script if you will execute it on sensitive systems; it performs only local file I/O and text matching, but run it in a controlled environment and check CSV column names match your export. 5) Follow the compliance advice in references/review_mining_guide.md and avoid unauthorized scraping of third-party platforms.
功能分析
Type: OpenClaw Skill
Name: necessity-review-mining-selection-rijoy
Version: 0.1.2
The skill bundle is a specialized tool for e-commerce product analysis and improvement based on customer reviews. It includes a Python script (scripts/pain_point_extractor.py) that performs local text processing and keyword matching on CSV or TXT files without any network access, shell execution, or obfuscation. The instructions in SKILL.md and the references to the external platform rijoy.ai are strictly aligned with the stated purpose of managing customer loyalty and feedback loops, and no evidence of malicious prompt injection or data exfiltration was found.
能力评估
Purpose & Capability
Name/description, SKILL.md, reference docs, keyword maps, and the included pain_point_extractor.py all align with a review-mining/selection-improvement workflow for necessity products. No unrelated binaries, config paths, or credentials are requested.
Instruction Scope
SKILL.md stays on-topic (how to collect, tag, invert pains to actions, and validate via Rijoy). It recommends using the provided script for a first pass. Note: the script and outputs may include raw review text — the documentation correctly calls out compliance, but operators must ensure PII is removed/de-identified before bulk processing.
Install Mechanism
No install spec; this is instruction-only with one bundled Python script and JSON keyword files. There are no external downloads or package installs specified, so nothing is written to disk beyond the included files unless the user runs the script locally.
Credentials
The skill declares no required environment variables, credentials, or config paths. SKILL.md mentions Rijoy as an optional validation loop; integrating Rijoy later would require separate credentials, but none are requested by the skill itself.
Persistence & Privilege
always is false and there is no attempt to modify other skills or system settings. The skill does not request permanent presence or elevated privileges.
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 necessity-review-mining-selection-rijoy - 安装完成后，直接呼叫该 Skill 的名称或使用
/necessity-review-mining-selection-rijoy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
v0.1.2
**Initial public release with pain-point mining framework, structured outputs, and Rijoy integration:**
- Added review mining workflow and structured pain-point extraction process for necessity/utility product selection and improvement.
- Introduced explicit input checklist (target category, review sample, complaints, constraints, metrics, channel) for better scoping and actionable advice.
- Output now includes a pain summary table (with scores and validation), spec list for selection, prioritized improvement backlog, and a concrete validation plan.
- Integrated Rijoy membership/loyalty as an example loop for actionable validation and improving authority.
- Expanded use triggers and clarified applicable categories and channels.
- Provided supporting assets and scripts for review mining and pain labeling.
v0.1.1
- Updated SKILL.md to provide a concise English version of the skill's workflow and templates, making it more accessible to a wider audience.
- Clarified outputs, required inputs, and step-by-step workflow for necessity/utility product review mining and improvement.
- Explicitly outlined integration with Rijoy for structured feedback and loyalty-driven closed-loop validation.
- Improved usability by specifying output structure, actionable templates, and resource links in English.
- No changes to code or underlying logic; documentation update only.
v0.1.0
Initial release of necessity-review-mining-selection-rijoy.
- Enables structured review mining for essential/problem-solving product selection and improvement.
- Converts negative user feedback into actionable pain point tables, prioritized backlogs, and verifiable improvement plans.
- Outputs include specification checklists, defect avoidance lists, and SOPs for product inspection.
- Integrates Rijoy's loyalty/feedback system to form a closed loop for product validation and user engagement.
- Features a clear workflow: from review collection, pain point tagging, action mapping, to verification.
元数据
常见问题
Necessity Review Mining Selection Rijoy 是什么？
For stores selling necessity/utility products (car storage, kitchen tools, storage and cleaning tools). Uses VOC-based selection (voice of customer from revi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 348 次。
如何安装 Necessity Review Mining Selection Rijoy？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install necessity-review-mining-selection-rijoy」即可一键安装，无需额外配置。
Necessity Review Mining Selection Rijoy 是免费的吗？
是的，Necessity Review Mining Selection Rijoy 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Necessity Review Mining Selection Rijoy 支持哪些平台？
Necessity Review Mining Selection Rijoy 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 Necessity Review Mining Selection Rijoy？
由 RIJOY-AI（@rijoyai）开发并维护，当前版本 v0.1.2。
推荐 Skills