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luorixin

匹配项目solution

by luorixin · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
118
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1
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Install in OpenClaw
/install solution-tag
Description
根据项目属性自动匹配最合适的Solution标签,支持字段校验、优先级匹配和特殊规则验证。
Usage Guidance
This skill appears internally consistent and only needs CSV/JSON input plus the included mapping file. Before installing or running: (1) review the included assets/Competency的Solution清单.csv to ensure mappings are accurate and contain no unexpected entries; (2) avoid supplying sensitive PII or credentials in the input data since the skill will process whatever you provide; (3) because the publisher/source is unknown and there is no homepage, prefer running it on test data first and inspect outputs; (4) if you plan to integrate this into automated workflows, confirm no hidden network calls are added by your environment, and periodically verify the mapping file if it should stay up to date.
Capability Analysis
Type: OpenClaw Skill Name: solution-tag Version: 1.0.0 The skill bundle is a legitimate project classification tool designed to map engagement data to specific business solutions based on predefined logic and a lookup table. The instructions in SKILL.md and the data in assets/Competency的Solution清单.csv focus entirely on data processing, keyword matching, and business rule validation (e.g., checking partner names or company types), with no evidence of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description state it matches projects to Solution labels; the SKILL.md implements exactly that using the included Competency->Solution CSV. No extra binaries, env vars, or unrelated capabilities are requested.
Instruction Scope
Runtime instructions are limited to validating input fields, loading the included CSV mapping, performing prioritized matching rules, and returning augmented rows. The skill does not instruct reading system files, environment variables, or transmitting data to external endpoints.
Install Mechanism
There is no install spec and no code files to write or execute; the skill is instruction-only and uses the bundled CSV asset. This is the lowest-risk install profile.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The logic described does not require secrets or unrelated credentials.
Persistence & Privilege
Flags show always:false and normal autonomy settings. The skill does not request permanent presence or system-level changes and does not modify other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install solution-tag
  3. After installation, invoke the skill by name or use /solution-tag
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
项目Solution自动分类工具发布初始版本,支持项目自动分配最合适的Solution标签
Metadata
Slug solution-tag
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 匹配项目solution?

根据项目属性自动匹配最合适的Solution标签,支持字段校验、优先级匹配和特殊规则验证。 It is an AI Agent Skill for Claude Code / OpenClaw, with 118 downloads so far.

How do I install 匹配项目solution?

Run "/install solution-tag" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 匹配项目solution free?

Yes, 匹配项目solution is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 匹配项目solution support?

匹配项目solution is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 匹配项目solution?

It is built and maintained by luorixin (@luorixin); the current version is v1.0.0.

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